10-K

abcl-10k_20201231.htm

10-K

abcl-10k_20201231.htm

UNITED STATES

SECURITIES AND EXCHANGE COMMISSION

Washington, D.C. 20549

FORM 10-K

(Mark One)

For the fiscal year ended December 31, 2020

Commission File Number 001-39781

AbCellera Biologics Inc.

(Exact name of Registrant as specified in its Charter)

British Columbia Not Applicable

2215 Yukon Street Vancouver, BC V5Y 0A1

(Address of principal executive offices)

Registrant’s telephone number, including area code: (604) 559-9905

Securities registered pursuant to Section 12(b) of the Act:

Title of each class Trading Symbol(s) Name of each exchange on which registered

Common shares, no par value per share ABCL The Nasdaq Stock Market

Securities registered pursuant to Section 12(g) of the Act: None

Indicate by check mark if the Registrant is a well-known seasoned issuer, as defined in Rule 405 of the Securities Act. YES ☐ NO ☒

Indicate by check mark if the Registrant is not required to file reports pursuant to Section 13 or 15(d) of the Act. YES ☐ NO ☒

Indicate by check mark whether the Registrant: (1) has filed all reports required to be filed by Section 13 or 15(d) of the Securities Exchange Act of 1934 during the preceding 12 months (or for such shorter period that the Registrant was required to file such reports), and (2) has been subject to such filing requirements for the past 90 days. YES ☒ NO ☐

Indicate by check mark whether the Registrant has submitted electronically every Interactive Data File required to be submitted pursuant to Rule 405 of Regulation S-T (§232.405 of this chapter) during the preceding 12 months (or for such shorter period that the Registrant was required to submit such files). YES ☒ NO ☐

Indicate by check mark whether the registrant is a large accelerated filer, an accelerated filer, a non-accelerated filer, smaller reporting company, or an emerging growth company. See the definitions of “large accelerated filer,” “accelerated filer,” “smaller reporting company,” and “emerging growth company” in Rule 12b-2 of the Exchange Act.

Large accelerated filer ☐ Accelerated filer ☐

Non-accelerated filer ☒ Smaller reporting company ☐

Emerging growth company ☒

If an emerging growth company, indicate by check mark if the registrant has elected not to use the extended transition period for complying with any new or revised financial accounting standards provided pursuant to Section 13(a) of the Exchange Act. ☐

Indicate by check mark whether the registrant has filed a report on and attestation to its management’s assessment of the effectiveness of its internal control over financial reporting under Section 404(b) of the Sarbanes-Oxley Act (15 U.S.C. 7262(b)) by the registered public accounting firm that prepared or issued its audit report. ☐

Indicate by check mark whether the Registrant is a shell company (as defined in Rule 12b-2 of the Exchange Act). YES ☐ NO ☒

The registrant’s common shares were not publicly traded as of the last business day of the registrant’s most recently completed second fiscal quarter. The registrant’s common shares began trading on the Nasdaq Global Select Market on December 11, 2020.

The number of shares of Registrant’s Common Stock outstanding as of March 23, 2021 was 269,497,768.

DOCUMENTS INCORPORATED BY REFERENCE

The registrant’s definitive proxy statement relating to the annual meeting of shareholders will be filed with the Securities and Exchange Commission within 120 days after the close of the registrant’s fiscal year ended December 31, 2020 and is incorporated by reference in Part III to the extent described herein.

CAUTIONARY NOTE REGARDING FORWARD-LOOKING STATEMENTS

This Annual Report on Form 10-K includes “forward-looking statements” within the meaning of the U.S. Private Securities Litigation Reform Act of 1995 and “forward-looking information” within the meaning of Canadian securities laws, or collectively, forward-looking statements. Forward-looking statements include statements that may relate to our plans, objectives, goals, strategies, future events, future revenue or performance, capital expenditures, financing needs and other information that is not historical information. Many of these statements appear, in particular, under the headings “Business,” “Risk Factors,” and “Management’s Discussion and Analysis of Financial Condition and Results of Operations”. Forward-looking statements can often be identified by the use of terminology such as “subject to”, “believe,” “anticipate,” “plan,” “expect,” “intend,” “estimate,” “project,” “may,” “will,” “should,” “would,” “could,” “can,” the negatives thereof, variations thereon and similar expressions, or by discussions of strategy. In addition, any statements or information that refer to expectations, beliefs, plans, projections, objectives, performance or other characterizations of future events or circumstances, including any underlying assumptions, are forward-looking. In particular, these forward-looking statements include, but are not limited to:

• companies and technologies in our industry that we compete with;

• our ability to obtain additional financing in future offerings;

• the volatility of the trading price of our common shares;

• our ability to attract and retain key scientific and engineering personnel;

• our ability to remediate our material weaknesses;

• our expectations about market trends.

• Our ability to predict and manage government regulation;

We may not actually achieve the plans, intentions, or expectations disclosed in our forward-looking statements, and you should not place undue reliance on our forward-looking statements. Actual results or events could differ materially from the plans, intentions, and expectations disclosed in the forward-looking statements we make. We have included important factors in the cautionary statements included in this Annual Report, particularly in “Risk Factor Summary” below and “Risk Factors”, that we believe could cause actual results or events to differ materially from the forward-looking statements that we make. Moreover, we operate in a competitive and rapidly changing environment. New risks and uncertainties emerge from time to time, and it is not possible for us to predict all risks and uncertainties that could have an impact on the forward-looking statements contained in this Annual Report. Our forward-looking statements do not reflect the potential impact of any future acquisitions, mergers, dispositions, collaborations, joint ventures, or investments we may make or enter into.

You should read this Annual Report and the documents that we file with the Securities and Exchange Commission, or the SEC, with the understanding that our actual future results may be materially different from what we expect. The forward-looking statements contained in this Annual Report are made as of the date of this Annual Report, and we do not assume any obligation to update any forward-looking statements, whether as a result of new information, future events or otherwise, except as required by applicable law.

In addition, statements that “we believe” and similar statements reflect our beliefs and opinions on the relevant subject. These statements are based upon information available to us as of the date of this Annual Report, and while we believe such information forms a reasonable basis for such statements, such information may be limited or incomplete. Our statements should not be read to indicate that we have conducted an exhaustive inquiry into, or review of, all potentially available relevant information. These statements are inherently uncertain and investors are cautioned not to unduly rely upon these statements.

This Annual Report includes statistical and other industry and market data that we obtained from industry publications and research, surveys, and studies conducted by third parties as well as our own estimates of potential market opportunities. All of the market data used in this Annual Report involves a number of assumptions and limitations, and you are cautioned not to give undue weight to such data. Industry publications and third-party research, surveys, and studies generally indicate that their information has been obtained from sources believed to be reliable, although they do not guarantee the accuracy or completeness of such information. Our estimates of the potential market opportunities for our product candidates include several key assumptions based on our industry knowledge, industry publications, third-party research, and other surveys, which may be based on a small sample size and may fail to accurately reflect market opportunities. While we believe that our internal assumptions are reasonable, no independent source has verified such assumptions.

We express all amounts in this Annual Report on Form 10-K in U.S. dollars, except where otherwise indicated. References to “$” and “US$” are to U.S. dollars and references to “C$” and “CAD$” are to Canadian dollars.

Except as otherwise indicated, references in this Annual Report on Form 10-K to “AbCellera,” the “Company,” “we,” “us” and “our” refer to AbCellera Biologics Inc. and its consolidated subsidiaries.

Table of Contents

Page

PART I

Item 1. Business 1

Item 1A. Risk Factors 36

Item 1B. Unresolved Staff Comments 72

Item 2. Properties 72

Item 3. Legal Proceedings 72

Item 4. Mine Safety Disclosures 73

PART II

Item 6. Selected Financial Data 75

Item 7A. Quantitative and Qualitative Disclosures About Market Risk 98

Item 8. Financial Statements and Supplementary Data 98

Item 9A. Controls and Procedures 99

Item 9B. Other Information 100

PART III

Item 10. Directors, Executive Officers and Corporate Governance 101

Item 11. Executive Compensation 101

Item 14. Principal Accounting Fees and Services 101

PART IV

Item 15. Exhibits, Financial Statement Schedules 102

iii

Summary of the Material and Other Risks Associated with Our Business

Our business is subject to numerous material and other risks and uncertainties. You should carefully consider the following information about these risks, together with the other information appearing elsewhere in this Annual Report, including our financial statements and related notes hereto. The occurrence of any of the following risks could have a material adverse effect on our business, financial condition, results of operations and future growth prospects. The risks and uncertainties described below may change over time and other risks and uncertainties, including those that we do not currently consider material, may impair our business. These risks include, but are not limited to, the following:

• Our success depends on our ability to protect our intellectual property.

Investing in our common shares involves a high degree of risk. You should carefully consider the following risks and uncertainties, together with all other information in this Annual Report on Form 10-K, including our consolidated financial statements and related notes and “Management’s Discussion and Analysis of Financial Condition and Results of Operations,” as well as our other filings with the Securities and Exchange Commission, or the SEC, before investing in our common stock. Any of the risk factors we describe below could adversely affect our business, financial condition or results of operations. The market price of our common stock could decline if one or more of these risks or uncertainties were to occur, which may cause you to lose all or part of the money you paid to buy our common shares. Additional risks that are currently unknown to us or that we currently believe to be immaterial may also impair our business. Certain statements below are forward-looking statements. See “Forward-Looking Information” in this Annual Report on Form 10-K.

PART I

Item 1. Business.

Overview

We believe that the surest path to a better future is through technological advancement and that the new frontier of technology lies at the interface of computation, engineering and biology. Our mission is to improve health with technologies that transform the way that antibody-based therapies are discovered. We aim to become the centralized operating system for next generation antibody discovery.

Our full-stack, artificial intelligence-, or AI, powered drug discovery platform searches and analyzes the database of natural immune systems to find antibodies that can be developed as drugs. We believe our technology increases the speed and the probability of success of therapeutic antibody discovery, including enabling discovery against targets that may otherwise be intractable. Rather than advancing our own clinical pipeline of drug candidates, we forge partnerships with drug developers of all sizes, from large cap pharmaceutical to small biotechnology companies. We empower them to move quickly, reduce cost and tackle the toughest problems in drug development. As of December 31, 2020, we had 103 discovery programs that are either completed, in progress or under contract with 27 partners. As a recent example, in a collaboration with Eli Lilly and Company, or Lilly, we applied our technology stack to co-develop bamlanivimab, also known as LY-CoV555, a potential antibody therapy to treat and prevent COVID-19. Starting from a single blood sample obtained from a convalescent patient, we and our partners identified a viable antibody drug candidate within three weeks that advanced into clinical testing 90 days after initiation of the program. Lilly progressed into these clinical trials at a greatly accelerated pace as a result of the Coronavirus Treatment Acceleration Program, which is a special emergency program for possible coronavirus therapies created by the FDA in 2020 to expedite the development of potentially safe and effective life-saving treatments to combat the COVID-19 pandemic. With respect to other or future product candidates, there is no assurance that any of our partners or collaborators will be able to advance a product candidate into clinical development on this timeframe again in the future, or at all. We initiated our partnering program in 2015 and have only had this one program result in clinical milestone payments to us to date and we have not yet had a program receive marketing approval.

Antibodies, which are proteins generated by natural immune systems to fight infection and disease, are amongst the fastest growing class of drugs and are used across multiple therapeutic areas, including oncology, inflammation, neurodegeneration and many others. In 2019, antibody-based therapeutics accounted for over $140.0 billion in sales worldwide and represented five of the top 10 selling therapeutics. The rise of genomics, high-throughput biology and genetic engineering has greatly expanded the opportunity and the ecosystem of innovators working to advance the development of antibody-based therapeutics. There has been a proliferation of biopharmaceutical companies pursuing innovative drug candidate formats and new targets. As new entrants continue to emerge, we believe the total addressable market will continue to expand.

As the field of antibody therapeutics evolves, finding novel antibodies with desired therapeutic properties has become increasingly competitive and demanding. We believe that there are two fundamental problems hindering the discovery and development of next generation antibody-based therapeutics. The first is the state of technology: because of the limitations of legacy discovery approaches, there are many well-validated targets for which suitable antibodies cannot be found. The second is access: most companies are forced to cobble together fragmented solutions and lack the facilities and expertise needed to prosecute their antibody programs. Both of these problems contribute to the rising cost of drug development and delay bringing needed therapies to patients.

Many emerging and established life sciences companies have been built around technologies that focus on one or a limited number of steps in the discovery process, including immune repertoire sequencing, or RepSeq, single-cell analysis, AI, and transgenic rodent platforms. We believe we uniquely integrate proprietary technologies that address each of these steps, creating a complete solution for our partners. Over the last eight years, we have developed and assembled technologies that unlock the database of natural antibodies. We are democratizing the industry by providing our partners of all sizes with access to our centralized operating system.

As depicted in Figure 1 below, our technology stack is a chain of interlocking technologies that is designed to enable the identification of antibodies with desired therapeutic properties.

Figure 1: Our Technology Stack

Some notable technologies within our stack that compound the productivity and efficiency of each step of the discovery process include:

The marriage of advanced data collection and computation creates a flywheel effect that augments our technology. As we run our partnership business, we are amassing unique, multi-dimensional data sets that link measurements at the level of single immune cells with the properties of the antibodies they make and the DNA sequences that encode their function. A single antibody discovery project can generate millions of DNA sequences and single-cell measurements, as well as thousands of target-specific antibodies, each characterized by hundreds of data points. Every project generates more data about the antibody immune response. This creates a competitive advantage whereby Celium extracts insights from the data that allows us to accelerate wet lab experimentation with in silico computation in a continuously iterative process. Because our computation is grounded on real world data, the output of Celium is not theoretical predications. We find real molecules that have been optimized by nature.

Our business thesis is based on the belief that technological advancement can improve the drug development process and that maximizing the value and impact of our work is best achieved through partnerships. In March 2020, we tested these beliefs as we

mobilized our response to the COVID-19 pandemic. Working with our partner Lilly, we were able to progress from initiation of discovery to clinical trials in only 90 days.

As of March 15, 2021, bamlanivimab, the first monoclonal antibody therapy from this collaboration, has been evaluated both alone and together with another antibody called etesevimab in more than 5,000 patients across multiple clinical trials for the treatment and prevention of mild-to-moderate COVID-19. Bamlanivimab is authorized in more than 15 countries, including the United States, Canada, Germany, France, Italy and Israel, and has been used to treat approximately 360,000 high-risk COVID-19 patients.

Lilly has successfully completed a Phase 1 study of bamlanivimab in hospitalized patients with COVID-19 (NCT04411628). A Phase 2/3 study in people recently diagnosed with COVID-19 in the ambulatory setting (BLAZE-1, NCT04427501) is ongoing. A Phase 3 study of bamlanivimab for the prevention of COVID-19 in residents and staff at long-term care facilities (BLAZE-2, NCT04497987) is also ongoing. In addition, bamlanivimab is being tested in the National Institutes of Health-led ACTIV-2 study in ambulatory COVID-19 patients. On January 27, 2021 Lilly announced an expansion to the ongoing BLAZE-4 trials to evaluate bamlanivimab together with VIR-7831.

Key findings from the clinical trials show the following, according to the press releases issued by Lilly on the indicated dates:

Bamlanivimab received Emergency Use Authorization from the U.S. Food and Drug Administration, or FDA, on November 9, 2020. On November 22, 2020, Lilly was granted authorization for bamlanivimab by Health Canada under the Interim Order Respecting the Importation, Sale and Advertising of Drugs for Use in Relation to COVID-19. Similar authorizations for bamlanivimab have been granted in Europe, the Middle East and Africa. Bamlanivimab together with etesevimab received EUA from the FDA for the treatment of mild-to-moderate COVID-19 in high-risk patients on February 9, 2021. Through its COVID-19 Treatment Guidelines, the National Institutes of Health recommended the use of bamlanivimab together with etesevimab to treat early COVID-19 in high-risk patients on February 23, 2021. Bamlanivimab alone and together with etesevimab received a positive opinion from the European Medicines Agency’s Committee for Medicinal Products for Human Use, on March 5, 2021: the harmonized, European Union, or EU,-level opinion on the efficacy, quality, and safety of the antibodies can be used by EU member states when making decisions on the possible use of the therapies at a national level prior to market authorization.

Lilly has announced the following details regarding the purchase of bamlanivimab alone and together with etesevimab on the indicated dates:

Under our partnership with Lilly, we are entitled to receive a specified percentage of proceeds that Lilly receives from these sales. In 2020 we recognized a total of $198.3 million in royalty payments related to sales of bamlanivimab. As proud as we are to have played a role in the global response to COVID-19, we believe it is only an example of how our technology can accelerate drug discovery.

Our business has historically been both high growth and capital efficient. Revenues have grown at an approximately 200% CAGR since 2014. We have generated positive operating cash flow cumulatively since our inception in 2012 and in every year since 2018. Our partnership agreements include: (i) payments for technology access and performance of research, (ii) downstream payments in the form of clinical and commercial milestones and (iii) royalties on net sales of any approved therapeutics. We structure our agreements in a way that is designed to align our partners’ economic interests with our own. While the vast majority of our historical revenue reflects upfront payments from research programs, we believe the long-term value of our business will be driven by downstream milestone and royalty payments. For the years ended December 31, 2019 and 2020, our revenue was $11.6 million and $233.2 million, respectively. For the years ended December 31, 2019 and 2020 our net income (loss) was $(2.2) million and $118.4 million, respectively. As of December 31, 2020, we have entered into agreements for 103 partnered discovery programs, 80 of which include the potential for milestone and royalty payments from our partners. As of December 31, 2020, we had 206 full-time employees in Canada, the United States and Australia, which was comprised of approximately 51% scientists, 26% business professionals, and 23% engineers and data scientists.

Impact of COVID-19

At the onset of the pandemic in March 2020, the Company took proactive measures to protect the health and safety of our employees, business partners, vendors, and contractors. Some of the actions taken include the following:

Our Strategy

Our mission is to improve health with technologies that transform the way that antibody-based therapies are discovered. To achieve this mission, we aim to become the operating system for next generation antibody discovery and to act as an integral part of our partners’ development efforts.

We seek to expand the industry of antibody therapeutics in two ways. First, we believe our technology can solve discovery problems to unlock new opportunities for therapeutic antibody development. Second, by accessing our teams, technologies and facilities, partners can eliminate the extended delays and costs associated with setting up antibody discovery capabilities. Through our partnership business, we aim to enable our partners to start programs without delay and prosecute them at maximum speed.

Our strategy includes:

We believe our strategy creates a virtuous cycle, as depicted in Figure 2 below, that will drive our position as the centralized operating system for antibody discovery.

Figure 2: Our Business Strategy

Our Key Competitive Strengths

Our industry position and success are based on the following key competitive strengths:

Industry Background

Nature’s database of antibodies

Antibodies are the body’s solution for fighting infection and disease. Antibodies are Y-shaped proteins, made by the immune system, that circulate in the blood. Their function is to specifically recognize foreign targets (viruses, bacteria, proteins or cancer cells), bind to them and then eliminate them. The repertoire of antibodies made during an immune response is extensive and encodes essential information about our health, our history of disease and our protection against future illness.

Unlike approximately 20,000 genes that are hard-coded in the human genome, antibodies are created de novo in each individual immune cell through a process of the random shuffling of DNA fragments. For each antibody, this random shuffling creates two separate genes, referred to as the heavy chain and the light chain, that assemble to form a complete antibody molecule. Taken together, there are approximately 2.9 million different combinations of heavy and light chain genes. The complexity of this diversity is augmented by additional random DNA insertions and edits. This results in over 100 trillion different possible antibody molecules, roughly 100 billion times the number of hard-coded genes in our genome. This diversity is astonishingly large. To put it into perspective, if all the possible antibody variable sequences were typed back-to-back in 12-point Arial font, the resulting string of letters would extend from the earth to the sun over 1,000 times.

At any given moment, each of us is making approximately one billion different antibodies, an infinitesimal fraction of the possible diversity of antibodies. Each antibody is made by a single immune cell. When provoked by infection or disease, these cells quickly divide and mutate their antibodies to create an expanded family, or lineage, of cells having closely related antibodies. Cells producing antibodies that best bind to the target get a selective advantage and divide faster: those that do not, are eliminated. Through this selection process, immune systems generate large families of optimized antibodies that can bind almost any target tightly and with exquisite precision.

Natural antibodies created by the immune system benefit from the processes of selection, quality assurance and optimization that have evolved over 500 million years. As a result, naturally-produced antibodies generally have superior properties for drug development. As compared to antibodies isolated from man-made libraries, they generally bind more tightly and specifically, and have superior properties for manufacturing. Due to their superior drug-like properties, approximately 92% of all approved antibody drugs have been derived from natural immune systems, as illustrated in Figure 3 below.

Figure 3: Sources of Approved Antibody Drugs

(Source: TAB Database of Therapeutic Antibodies, September 27, 2020).

Our Market Opportunity

Antibodies are the fastest growing class of drugs and are used across multiple therapeutic areas, including oncology, inflammation, neurodegeneration and many more. In 2019, antibody-based therapeutics accounted for over $140.0 billion in sales and represented five of the top 10 selling therapeutics worldwide. Antibodies represented 70% of the sales of all biologics, and 36 antibody therapeutics reached blockbuster status with sales higher than $1.0 billion. Mean peak-year sales for currently marketed monoclonal antibody and monoclonal conjugate antibody drugs are estimated at approximately $3.1 billion (median $1.8 billion). As of September 30, 2020, there were over 115 approved antibody therapeutics, with more than 150 in Phase 3 clinical trials. The cycle time for drug discovery projects to reach Phase 1 clinical trials from target selection has been approximately 5.5 years. Monoclonal antibody and monoclonal conjugate antibody drugs have taken on average approximately 7.5 years to reach market authorization from the start of Phase 1 clinical trials. From 2014 to 2020, the number of Phase I clinical trials beginning to enroll patients for monoclonal antibody and conjugate antibody therapies increased by more than 120%, from 207 to over 460.

The probability for a biologic drug discovery program to succeed in reaching Phase 1 clinical trials has been estimated at approximately 37%. Monoclonal antibody and monoclonal conjugate antibody drugs have had an approximately 18.5% likelihood of receiving market authorization from the start of Phase 1 clinical trials. According to a study of over 9,000 clinical development programs at large pharmaceutical companies, approximately 90% of all molecules fail to reach approval. Antibody-based therapeutics have thus achieved a higher rate of clinical success and offer several advantages:

• Minimal off-target toxicity

• Long half-life in circulation

• Ability to stimulate the immune system

• Low immunogenicity

• Higher affinity and potency

As shown in the Figure 4 below, the antibody-based therapeutics market is expected to reach approximately $260.0 billion in size by 2025, representing a CAGR of approximately 11% for the period from 2019 to 2025. Further, the more nascent cell therapy market is expected to grow from $1.0 billion in 2019 to over $17.0 billion in 2025, reflecting a CAGR of approximately 60%. Opportunities for accelerating growth of the antibody therapeutics market include improved access to traditionally difficult targets (e.g., G protein-coupled receptors, or GPCRs, and ion channels), the emergence of new therapeutic modalities (e.g., bispecifics,

chimeric antigen receptor T cells, or CAR-T, cell therapy and antibody conjugates) and the ever-expanding number of companies entering the space. Our partnership business allows us to participate in the future antibody therapeutic market through royalties and milestones on drugs that have been discovered using our platform. As of December 31, 2020, we had 103 discovery programs that are either completed, in progress or under contract with 27 partners ranging from large pharmaceuticals to biotechnology companies.

Figure 4: Total End Market Sales ($billion)

Challenges

Technology has dramatically improved efficiency in nearly all sectors of our economy. Within drug discovery, technological improvements have also been made, but we believe the impact has been limited. For instance, the cost of developing new drugs has roughly doubled every nine years since the 1950s. This retrograde trend, referred to as Eroom’s Law, stands in stark contrast to Moore’s law, which successfully describes the doubling of computational power every two years.

Looked at from any perspective, drug development still:

We believe that these challenges are often attributable to a continued reliance on outdated technologies. This is a watershed moment to redefine drug discovery. The past 10 years have seen unprecedented advances in the tools to measure biology, including genomics, high-throughput imaging and industrial-scale lab automation. These tools generate an avalanche of data that contain the

insights needed to more quickly bring drugs to the clinic. At the same time, computational power and AI now make it possible to see relationships within big data sets that could otherwise not be seen.

Deep integration of high-quality data generation and computational tools are needed to solve the following challenges in discovery:

Our Platform

Our platform is an operating system designed to support many antibody modalities; unlock new targets; increase the speed to clinical development for our partners and increase the potential clinical and commercial success for our partners.

Our full-stack, AI-powered technology sources, searches, decodes and analyzes antibody responses with the ultimate goal of engineering new antibody drug candidates for our partners. Our platform incorporates and integrates modern technology tools from engineering, microfluidics, single-cell analysis, high-throughput genomics, machine learning and hyper-scale data science. We have internally developed, in-licensed or acquired our technologies. We deploy our platform to help our partners in their efforts to identify antibodies with better potency and developability.

We believe our approach of integrating modern hardware, software and wetware is unique. We have pioneered nanoliter volume single-cell antibody screening methods using microfluidics. Our workflows incorporate proprietary immunization methods, including the Trianni suite of transgenic mice, optimized molecular biology protocols and patented protein engineering technologies. The aggregation of these technologies, coupled with our proprietary processes and team, allows us to provide a differentiated offering to our partners. Figure 5 below represents how our technologies are integrated into one stack.

Figure 5: Our Technology Stack with Workflow Summary

The computational engine of our platform, Celium, combines software, AI and visualization tools to mine, organize, compute and interactively explore the immense multidimensional data sets that we produce in each antibody discovery campaign. Unlike many AI-based drug discovery approaches, Celium is continually improved with real world data. We iteratively inform wetlab experimentation with in silico computation, and vice versa. The output of our process is not theoretical predictions. We discover real molecules that have been optimized by nature.

Our platform is an operating system that is designed to provide the following benefits:

We believe our competitive advantage is derived from integration of multiple proprietary technologies and a seamless workflow. Table 1 below provides how each aspect of our end-to-end technology stack addresses challenges in antibody therapeutic discovery:

Table 1: Our Platform and Solution

Our Partnership Business

We forge partnerships with large cap pharmaceutical companies, biotechnology companies of all sizes and non-profit and government organizations. Our partners select a target and define the antibody properties needed for therapeutic development. We provide discovery solutions to partners that have a range of discovery capabilities, from the highly enabled to the less enabled. We enable discovery against targets that have traditionally been intractable, and we accelerate programs against less difficult targets.

Our Target Market

We provide discovery solutions to partners that have a range of discovery capabilities, from the highly enabled to the less enabled. We accelerate discovery programs spanning a range of difficulty, from traditionally “Intractable discovery problems” to less difficult “Tractable discovery problems”. These categories, taken together, create a two-dimensional grid that segments our market opportunities as shown in Figure 6 below.

Figure 6: Our Target Market Matrix

The four segments depicted in Figure 6 above are as follows:

Our Partnership Deals

Our deals emphasize participation in the success and upside of future antibody therapeutics. Our partnership agreements include near-term payments for technology access, research and intellectual property rights, and downstream payments in the form of clinical and commercial milestones, and royalties on net sales.

As of December 31, 2020, we had 103 discovery programs that were either completed, in progress or under contract, including 80 with the potential for milestone and royalty payments. Our partnership agreements are typically terminable at will with 90 days’

notice prior to identification of a target, after which point they may only be terminated for cause. A summary of the recent publicly disclosed partnerships established over the last two years are included in Tables 2 and 3 below.

Table 2: Summary Partnership Agreements with Pharmaceutical & Biotechnology Companies from 2018 to 2020*

Abdera Bioinnovations 9 targets, multi-year Oncology January 24, 2021

Invetx Multi-target, multi-year Animal Health November 19, 2020

Kodiak Sciences Single target Ophthalmology October 29, 2020

Lilly 9 targets, multi-year COVID-19 program Additional indications May 22, 2020

Regeneron Multi-target, multi-year Multiple undisclosed March 16, 2020 **

Invetx Multi-target, multi-year Animal health February 23, 2020

Gilead Sciences Single target Infectious disease June 13, 2019

Novartis Up to 10 targets, multi-year Undisclosed February 14, 2019

Autolus Single target Cell therapy (CAR-T) November 29, 2018

Undisclosed Multi-target, multi-year Cell therapy Undisclosed

Undisclosed Single target Bispecific Undisclosed

** Effective date of agreement

Table 3: Summary of Partnership Agreements with Non-Profit & Government Organizations from 2018 to 2020

In March 2020, we entered into a multi-year strategic Research Collaboration and License Agreement, or RCLA, with Lilly on the discovery of antibodies for up to nine Lilly-selected therapeutic targets, including COVID-19. Under the terms of the RCLA, Lilly has the right to develop and commercialize therapeutic products resulting from our collaboration. As part of the RCLA, we received an upfront payment of $25.0 million and are eligible to receive research payments for non-COVID-19 targets. We are also eligible to receive pre-clinical, clinical, and product approval milestones and tiered royalties on future sales for all Lilly-selected targets. We are entitled to receive an aggregate of up to $29.0 million of milestone payments under the terms of the RCLA. As of December 31, 2020, we have received $15.0 million for clinical and other milestones related to bamlanivimab. For non-COVID-19 targets, we are eligible to receive royalties in the low single digits based on net sales; whereas for COVID-19, we continue to be eligible to receive royalties in the low- to mid-teens for aggregate sales below $125.0 million and mid-teens to mid-twenties on aggregate sales above $125.0 million. As of December 31, 2020, we have recorded $198.3 million for royalty payments related to sales of bamlanivimab.

Our Technology

Therapeutic antibody discovery has a myriad of challenges. Antibodies that are suitable candidates for therapeutic development must engage a target specifically, induce the desired therapeutic function and also have physical properties that make them suitable for manufacturing and formulation as drug products. Only a small fraction of the antibodies in any given immune response will satisfy all these requirements. Even for those that do, only a small subset will be optimal for drug development. Therefore, a broad and deep search of the database of natural antibodies is needed to expand the universe of quality drug candidates and increase the likelihood of success.

We have built a technology stack with five key capabilities that we believe solve the discovery problem and are critical to the success of any therapeutic program:

Our technology stack achieves these functionalities by leveraging state-of-the-art methods from microfluidics, single-cell analysis, high-throughput imaging, AI, robotics, genomics and protein engineering, all complemented by custom software and data visualization capabilities.

Source: Immunization

The first step in a therapeutic antibody discovery program is to generate the source of antibodies that will define the search space for discovery. There are two competing paradigms: generate synthetic antibody diversity in man-made libraries, known as the display methods, or generate antibody diversity in vivo by immunization of animals. A brief description of these methods, along with their challenges, is as follows:

Our Approach to Sourcing Diverse Antibodies. We believe natural immune sources are a superior search space for therapeutic antibodies. To solve the challenges of sourcing antibodies by immunization, we have assembled multi- species screening capabilities, genetically engineered mouse technology and optimized immunization technologies that are capable of generating diverse and high-quality sources of natural antibodies.

These proprietary transgenic mice, combined with our platform technologies in immunization, single-cell screening, immune repertoire profiling and protein engineering, provide a flexible and synergistic advantage for rapid, next-generation discovery and development of fully human antibodies for drug development across a very broad target space. Notably, the Trianni platform and suite of transgenic rodents, together with expertise from Trianni personnel joining our research and development program, is a foundation to develop additional novel next-generation animals to expand our platform.

In addition to the Trianni transgenic mouse technologies, we also have in-licensed the ATX-Gx humanized immunocompetent transgenic mouse platform from Alloy Therapeutics. Like the flagship Trianni mouse, the ATX-Gx mouse is genetically engineered to express human antibody genes. We believe that by performing immunizations on both the Trianni mouse and the ATX-Gx mouse in parallel, we are able to expand the diversity of human antibody responses, thereby creating a larger search space for antibody discovery. We believe this will allow us to isolate more and higher quality candidate antibodies. We expect to continue to use both the Trianni mouse and the ATX-Gx mouse in our partnered programs, along with the Trianni next generation mice for the most demanding therapeutic discovery projects.

Search: Microfluidic Single-Cell Screening

Searching natural immune systems is fundamentally a single cell problem. One mL of blood contains approximately 1 million white blood cells, of which approximately 1% are single antibody secreting cells, or B cells, that make antibodies. Of these, only a fraction is likely to bind to a target of interest, and of these binders, only a very small fraction is likely to have properties that make it suitable as a therapeutic. To effectively search the natural immune system for antibodies requires a technology that can scan through millions of antibody-producing cells and make high-resolution measurements to assess the properties of their unique antibodies. B cells are microscopic, having a diameter of approximately 10 microns (about 1/10 of the width of a human hair) and generate only a minute amount of antibody. When analyzed in the volume of conventional screening formats and conventional labware such as a 96-well plate, this small amount of antibody is too dilute, making it essentially undetectable.

It is because conventional methods lack the sensitivity to analyze individual cells that traditional discovery approaches require that each cell be “grown” into a larger population. However, since B cells generally cannot be grown into these larger populations in the lab, the classic approach to this problem is the “hybridoma method”, which is literally “fusing” a special type of cancer cell with immune cells obtained from the spleen of an immunized rodent (typically a mouse or a rat). These hybridomas inherit the immortal properties of the cancer cell line (i.e., can be grown) and continue to secrete a single type of antibody. Although this approach has been the workhorse of antibody discovery for decades, it has major limitations: (i) it is generally limited to rodents, (ii) it is slow (taking weeks to achieve sufficient cells to test the secreted antibodies) and (iii) it loses more than 99% of the available antibody diversity since the fusion process has extremely low efficiency, typically between 0.1% and 1%.

Our Approach to Search Natural Antibodies. To solve these challenges, our founders pioneered and developed a nano-liter volume single-cell microfluidic screening technology that provides the sensitivity, resolution and scalability needed to perform a deep search of any antibody response.

We believe our screening approach provides a unique combination of speed, throughput and versatility in searching antibody responses. Our microfluidic single-cell screening technology consists of custom-made microfluidic devices that integrate 256,000

single-cell analysis chambers on a chip about twice the size of a credit card. At the beginning of a screening experiment, a sample of B cells isolated from an immunized animal is flowed into the device at a concentration selected to result in approximately one single cell per chamber. Once cells are loaded, they are isolated in single-cell analysis chambers, each having a volume of less than one nanoliter. In this small volume, approximately 100,000 times smaller than what is used in a conventional bench-top experiment, a B cell secretes enough antibodies within minutes to be detected by microscopy. Using fluidically-controlled reagent and particle additions, a variety of experimental protocols can be executed so that each single cell is interrogated to determine the properties of the antibody it makes. A screening experiment takes several hours and is performed the same day as immune cells are isolated from immunized rodents. This is significantly faster than the weeks required to establish hybridoma cultures.

Our microfluidic devices are operated using proprietary high-throughput imaging instruments that incorporate custom robotics, fluid control, software systems and AI-based image analysis. Each instrument can run two microfluidic chips in parallel for a total of 512,000 chambers per instrument run. In a two-hour run, each of the 512,000 chambers is imaged up to 10 times, resulting in over five million chamber images, or roughly 700 chamber images per second. A representation of our microfluidic screening devices and assay readouts are showing in Figure 7 below.

Figure 7: Our Screening Approach for Antibody Responses

Our AI-based image algorithms perform real-time analysis of these images to identify chambers that contain single cells that make antibodies with the desired properties. As depicted in Figure 8 below, our technology supports a wide array of complex image-based single-cell secretion measurements including multiplexed target binding on up to six targets, affinity-based enrichment, multiplexed cell-binding, ligand blocking assays and a selection of functional assays. We currently have throughput to screen more than four million cells per screening day.

Figure 8: Representations of Exemplary Microfluidic Screening Assays

As compared to other technologies we believe our microfluidic screening platform provides unique combined advantages of:

• Throughput to screen greater than 500,000 cells per instrument run.

• Antibody selections based on a wide array of measurements.

• Capability to perform selections on both protein and cellular targets.

• Versatility to search antibody diversity from any species or tissue.

Find: Automated Single-Cell Sequencing and RepSeq

The collection and interpretation of antibody sequence data presents several challenges. First, because only a small fraction of antibodies are suitable for therapeutic development, methods that are based on sequencing antibodies from single cells before evaluating their function are extremely inefficient, low-throughput and costly. Second, sequencing antibodies from selected single cells is technically challenging due to the very small quantities of starting material and the large number of possible sequences that need to be captured. Third, although bulk sequencing of antibodies can provide a comprehensive view of immune responses, these methods often lose information on the correct natural pairing of heavy and light protein chains, which together comprise an antibody, and provide no means to assess the functional relevance of each antibody.

Our Approach to Find Natural Antibodies. To solve these challenges, we combine our nano-liter volume microfluidic single-cell screening platform, automated single-cell antibody sequencing and immune repertoire antibody sequencing to enable the deep analysis and functional interpretation of antibody responses.

Automated single-cell sequencing. Our microfluidic single-cell screening technology allows us to evaluate the binding and/or functional properties of antibodies made by millions of single cells at the first step of analysis. For each screening run on each instrument, up to 768 individual cells that exhibit desired properties can be recovered into microplates for the following single-cell sequencing steps. Our proprietary sequencing protocols have been optimized to achieve approximately 90% efficiency in the recovery of high-quality heavy and light chain antibody sequences from single cells and have been adapted for discovery from multiple species. To achieve speed, reproducibility and throughput, our single-cell sequencing pipeline has been implemented using robotic automation and automated bioinformatics software. We currently have throughput to process up to 15,360 single cell samples per week and to recover high-quality, chain-paired sequences from 3,840 single-cell samples in three days.

RepSeq. We believe our RepSeq technology, when coupled with our microfluidic single-cell screening and sequencing technologies, provides unique capabilities for expanding the search of natural antibody responses. RepSeq is based partly on foundational RepSeq patents that we have exclusively licensed from Stanford as part of our acquisition of Lineage in 2017. RepSeq uses high-throughput sequencing to perform near-comprehensive profiling of the repertoire of heavy and light chain antibody genes that are present in a sample. In its highest-throughput implementation, a single RepSeq sequencing run can generate approximately 800 million antibody sequences.

Since these are bulk sequences obtained from mixtures of large numbers of cells, the interpretation of these big data sets has multiple challenges. The first is the loss of information regarding which heavy chain is naturally paired with which light chain. The second is the inability to identify which rare antibody sequences are relevant to the program (e.g., bind to the target or have desired function). We solve both of these problems by annotating RepSeq data with functional sequence data derived from our single-cell microfluidic screening and sequencing technologies. Using the sequences of hundreds to thousands of antibodies with known properties, we are able to search RepSeq data from related samples to identify closely related families of antibodies that can be arranged in a lineage to reconstruct their evolution during the immune response. These expanded family trees provide valuable insights for vaccine research and are sources of ready-made alternative therapeutic candidates in cases where an antibody of interest has one or more suboptimal properties.

We have shown that the combination of single-cell analysis and RepSeq can expand the number of therapeutic antibody candidates by more than 10-fold in a single experiment, increasing the number of candidates from hundreds to thousands. Enriching for sequences of value by isolating target-specific immune cells that go into a RepSeq experiment can amplify the number of therapeutic antibody candidates. The combination of single-cell screening and RepSeq allows deep interrogation of an immune repertoire to find the best antibodies. For further explanation, see the case study titled “Human Immune Profiling” under “—Our Technology in Action.” The relationship between single-cell-derived antibodies and family members discovered using RepSeq data is depicted in Figure 9 below.

Figure 9: Antibody Lineage Mapping

Analyze: High Throughput Cloning, Expression and Bioanalytics

Our microfluidic single-cell screening and RepSeq technologies are capable of generating hundreds to thousands of unique antibody candidate sequences from single-cell screening, along with thousands of related antibody sequences from RepSeq. These large antibody sets create formidable challenges for efficiently down-selecting to a small number of the best candidates for development, including (i) the need to produce and handle large numbers of high-quality antibodies by “expressing”, or converting sequences into protein antibodies that can be further analyzed, (ii) the need to perform measurements to characterize each antibody property for target recognition, function, and properties related to suitability for drug development, and (iii) the need for data management and computational tools to organize and understand the resulting data.

Our Approach to Analyzing Natural Antibodies. To address these challenges, we have built a high-throughput antibody generation and characterization pipeline that generates high-dimensional data clouds for each antibody candidate.

Our antibody expression pipeline combines optimized molecular biology protocols, proprietary expression vectors and robotics to enable the rapid cloning, expression and purification of recombinant antibodies using expression systems that are representative of current drug manufacturing standards. When starting from single-cell-derived antibody samples, we are able to generate hundreds of recombinant antibodies within eight days of screening. Our platform supports multiple antibody formats and currently has capacity to generate 960 high-purity antibody samples per week.

These antibodies are then tested across a suite of analytical assays to determine their biophysical properties including their purity, binding properties (e.g., specificity, epitope binning, affinity), thermal stability, expression levels and aggregation state. Expressed antibodies may be further characterized in appropriate functional cell-based assays to assess their potency. Corresponding in silico analysis is performed on each antibody to predict potential development liabilities, biophysical properties and immunogenicity.

We believe that by gathering more high-quality data on more antibodies from the start of the discovery process, we can significantly improve the speed, quality and success of antibody discovery.

Celium: Computation and Data Exploration

Our technology stack generates vast and complex data sets. In a single discovery program, our technology stack can produce terabytes of data per screen, including:

• tens of millions of microscopy images from raw screening data

• hundreds of millions of DNA sequences from raw single-cell sequencing

• billions of DNA sequences from raw RepSeq data

• millions of single-cell antibody secretion measurements

• hundreds to thousands of unique single-cell-derived antibody sequences

• tens of thousands of related antibody sequences derived from RepSeq

• several hundred thousand antibody characterization measurements

• associated meta data for each experiment

The sheer quantity and complexity of these data sets present formidable challenges. First, without specialized data collection, standardization, and storage solutions, data of this scale quickly becomes unmanageable and unusable. Second, finding hidden relationships in these complex data sets requires sophisticated computational tools that must be customized for the questions being asked and the data types and structures used. Finally, even once data has been reduced to the key properties of hundreds of antibodies, it may include hundreds of thousands of data points, making interpretation difficult or impossible for scientists.

Our Approach to Analyzing Complex Antibody Data. To address these challenges, we have built a computational engine called Celium that integrates data collection, standardization and storage with a suite of computational tools and an interactive visualization interface that allows scientists to quickly explore and interpret complex antibody data sets.

Our technology stack integrates software to automatically standardize the collection, storage, and version control of raw and processed experimental data obtained at every step in the discovery process. Data from every experiment is stored in a central database designed to maintain the relationships that exist between different measurement types, samples, and antibodies. Because we do not rely on third-party data, we are able to maintain strict data quality assurance and standardization. We believe this provides a critical advantage that greatly increases the value of data.

We have built a suite of computational tools for extracting information and uncovering relationships that are hidden within our data. Our data handling and report generation software automates standard analyses, and instantly returns essential information that would otherwise take days of work. We have developed machine learning and AI methods to replace manual data analysis, quality assurance and design steps associated with antibody sequencing, protein engineering and antibody chain-pairing. Similarly, our vast image data sets have allowed us to develop AI-based machine vision tools for real-time processing, enabling single-cell screening at much greater speed and resolution. Finally, we are using machine learning algorithms to explore the relationship between antibody sequence space and important drug-like properties including resistance to aggregation, stability and expressibility. We believe that these approaches will become increasingly powerful and predictive as our data sets grow.

We believe the value of data and computation is greatly amplified by intuitive tools that enable scientists to interactively explore and query complex data sets. Celium achieves this with a dynamic visualization interface that presents each unique antibody as a connection between two unique DNA sequences that encode for the heavy and light chain. Celium presents antibodies as a network of these connections that intuitively represents sequence similarity. Using this visual language, scientists can interactively navigate and filter thousands of antibodies in real time, using hundreds of different data features, as shown in Figure 10. This allows scientists to interactively explore the immune repertoire and set search criteria based on multiple features to find antibodies with the precise characteristics desired for a drug candidate.

Figure 10: Celium Detailed View of Heavy and Light Chain Pairing

Antibodies of interest can be further explored to evaluate sequence features and to expand diversity by linking to associated RepSeq data as shown in Figure 11. By integrating RepSeq data, Celium has the power to map antibody lineages to identify lead candidates likely to have improved binding and functional properties. This allows for expansion of diversity around antibodies of interest to identify new drug candidates for testing and development.

Figure 11: Celium Chain ID Clonal & Rep Seq Lineage View

We believe Celium is a unique and powerful tool that enables rapid exploration of multiple data sets in hours that would otherwise take many weeks to search. It provides an elegant human interface that allows scientists to quickly explore data and gain insights that inform action.

Engineer: Advanced Computational Protein Engineering Toolkit

Using natural diversity to accelerate engineering. In many cases, antibodies selected for development need to be modified before they are developed as drugs. These modifications are generally made through a combination of computational design and experimental testing, a process known as antibody engineering. Examples of antibody engineering problems include improving how tightly an antibody binds to its target; removing antibody sequences known to be problematic during manufacturing; modifying non-human antibodies to resemble human antibodies; and removing antibody sequences that may induce immune responses in patients.

The central challenge in antibody engineering is that the relationship between DNA sequence modifications and the resulting antibodies is not well understood. Antibody engineering therefore relies heavily on trial and error to identify DNA changes that give the desired phenotypic results. This process is complicated by the fact that optimizing for one property, such as binding affinity, may cause the loss of another desirable property, such as solubility or expression. This challenge is amplified when the source antibodies need major improvements, as is the case for synthetic antibodies that typically require multiple rounds of antibody engineering to improve their binding affinity, biophysical properties, or both.

Our Approach to Engineering Natural Antibodies. We address these challenges by first generating large, diverse and high-quality panels of candidate antibodies early in the discovery process and, second, by applying antibody engineering approaches that are informed by natural antibody responses.

We believe the best approach to protein engineering is to start with a large panel of the best possible candidate antibodies. To achieve this, we apply our microfluidic single-cell screening platform to maximize the diversity of antibodies selected upfront for multiple target-binding properties, followed by thorough characterization of their functional properties and developability. We then apply stringent filtering with the aim of down-selecting to a small number of leads. When performing discovery from humanized rodents, including our proprietary suite of Trianni humanized rodents, or from humans, we have used this approach to generate high affinity antibodies that require minimal engineering prior to development. Starting with a greater diversity of antibodies, which have been pre-selected for desirable properties and that benefit from natural immune responses, can significantly reduce development time and the technical risk of protein engineering.

In cases where antibody properties need to be improved, we can use expanded panels of antibody sequences from RepSeq to inform the design and generation of high-confidence optimization candidates. We believe this approach, to use natural antibody variants from the repertoire to help design optimized candidates, is particularly powerful for high-value membrane protein targets such as GPCRs and ion channels (which cannot be optimized by conventional display-based methods). We also believe it can significantly improve the success-rate and reduce the time needed to optimize development leads.

OrthoMab Bispecific Platform. Beyond improving antibody properties, antibody engineering can also build completely new antibody drug formats with novel molecular geometry, binding properties or chemical properties. Of particular interest is the combination of two source antibodies to create a “bispecific” antibody that can simultaneously bind to two targets. Antibodies are normally comprised of two identical heavy chains and two identical light chains, to make a symmetrical “mirror-image” molecule with two identical targeting arms. In contrast, bispecific antibodies are generally comprised of two different heavy chains and light chains, and therefore have targeting arms that recognize two different targets. Because of their unique properties, bispecific antibodies are a rapidly emerging new class of antibody therapy. Following the first approval in 2015, there are now more than 120 molecules in clinical development, including more than 80 in Phase 1. They enable improved and novel therapeutic mechanisms not possible with other modalities. Examples of the application of bispecific antibodies include (i) recruitment of immune cells to help kill cancer cells, (ii) linking together two receptors to activate a signaling pathway, (iii) serve as a protein scaffold to bring proteins together and (iv) modifying the pharmacokinetics and pharmacodynamics of soluble proteins, as depicted in Figure 12 below.

Figure 12: Therapeutic Modalities Using Bispecific Antibodies

To realize this potential, it is important to develop capabilities to:

• manufacture bispecific antibodies in a scalable and efficient process

Our Approach to Engineering Bispecific Antibodies. OrthoMab, addresses these challenges by enabling the combination of any two source antibodies into a bispecific antibody that can be manufactured using conventional expression and purification methods, with minimal liabilities and immunogenicity.

OrthoMab is a clinically validated protein engineering technology that enables the creation of a bispecific antibody from any two source antibodies, each comprised of a unique heavy chain and a unique light chain. The key innovation of OrthoMab is a set of patented DNA mutations that have been computationally designed using molecular structural modeling. These mutations ensure that the four antibody chains pair correctly: the two different heavy chains preferentially associate together, rather than two molecules of the same heavy chain, and each light chain pairs only with its cognate heavy chain as shown in Figure 13 below.

Figure 13: Patented OrthoMab DNA Mutations

By using engineered mutations to control chain-pairing, OrthoMab enables manufacturing of bispecifics at high yields and purities using industry-standard processes. Because each side of an OrthoMab bispecific is 99% identical to the source antibody, it lowers the risk of introducing immunogenic epitopes. Finally, in addition to conventional Y-shaped bispecific antibodies, OrthoMab allows for the creation of a wide array of alternative bispecific formats as shown in Figure 14. The OrthoMab technology was patented by scientists at Lilly and the University of North Carolina at Chapel Hill. We acquired non-exclusive rights toutstandingo use OrthoMab technology from Dualogics, LLC, through an asset purchase agreement in July 2020.

Figure 14: Exemplary Bispecific Formats Achievable with OrthoMab

Our Technology in Action

COVID-19: From Discovery to Clinic in 90 Days

We have been working with DARPA since March 2018 as part of the P3 program to optimize our technology stack to find effective and field-ready therapeutics against pathogenic threats in record time.

Problem. An effective response to a pathogenic threat requires comprehensive deep screening and characterization of a human antibody response at the maximum speed possible, so that pathogen-specific therapeutics can be quickly identified, developed and deployed. Ideally, samples from index patients (patients who are the first to have been confirmed infected with the pandemic virus) who recovered would be made available to deploy our pandemic response platform.

Solution. We developed rapid antibody screening, expression, purification and characterization pipelines to deeply mine human antibody responses. As part of the P3 program, and prior to COVID-19, we pressure tested our technology stack twice in simulated pandemic responses. In late 2018, we demonstrated rapid isolation of hundreds of Middle Eastern Respiratory Syndrome Coronavirus, or MERS-CoV, heavy chain only antibodies, or HcAbs, from infected camelids (a natural host for MERS-CoV) in less than 96 hours from sample receipt. Many of these HcAbs were more potent neutralizers than benchmark antibodies. In early 2019, together with our partners, we discovered influenza-neutralizing antibodies from a single sample from a human donor, and demonstrated that we could deploy our platform from sample receipt to successful testing in animals in 55 working days. Our seven lead antibodies were all 100% protective against a 20-times lethal dose of the 2009 pandemic H1N1 strain of influenza virus in rodents.

Result. We rapidly deployed our pandemic response platform to find a therapeutic antibody against COVID-19 in the spring of 2020 starting from a blood sample obtained from a U.S. patient. We screened approximately 5.8 million single cells to identify over 500 unique anti-SARS-CoV-2 antibodies. Each of these antibodies was evaluated computationally and experimentally to identify approximately 500 different properties per antibody which yielded 220,000 data points, which allowed us to filter down to a smaller group of lead candidates. Within 23 days of receiving the sample, we and our partners identified 24 lead antibodies for further development and clinical testing. One antibody drug candidate was selected by our partner Lilly, and the first patients were dosed in the first-ever COVID-19 clinical trial in North America. This was only 90 days from when we received the sample. The antibody, bamlanivimab, has been evaluated both alone and together with another antibody called etesevimab in more than 5,000 patients across multiple clinical trials for the treatment and prevention of COVID-19. Bamlanivimab is authorized in more than 15 countries, including the United States, Canada, Germany, France, Italy and Israel, and has been used to treat approximately 360,000 high-risk COVID-19 patients. This demonstrates that a rapid discovery-to-clinic timeline is possible with our rapid and high throughput discovery engine.

Unlocking High-value Membrane Proteins (GPCRs and Ion Channels)

Membrane proteins such as GPCRs and ion channels are a validated and highly valuable class of drug targets in multiple prevalent diseases and indications, including cardiovascular diseases, cancer, neurological diseases, inflammation and pain. Membrane proteins are very difficult targets for antibody therapeutics. They are large and complex proteins, often with multiple subunits embedded in the cell membrane with only a small portion exposed outside of the cell. They also exist in families of multiple, closely-related members. The specificity of antibody drugs against membrane proteins would solve the off-target side effects that make many of these targets a barrier for small molecule drugs. However, membrane proteins present major challenges for antibody discovery: (i) they are poorly immunogenic, (ii) they are very difficult to purify and handle, (iii) it is difficult to generate binding or functional assays for them and (iv) they often have high homology with other species that are traditionally used for immunization campaigns (such as rodents), leading to natural tolerance mechanisms inhibiting a good immune response. In addition, legacy screening technologies either do not provide the depth and throughput to effectively search the immune response (hybridoma strategy), or are poorly suited for screening against complex membrane protein targets (display strategy).

Problem. Using conventional screening methods, a partner had failed to discover functional antibodies against a very small epitope of a GPCR protein target with close structural homology to a related protein.

Solution. For this campaign, we tailored our technology stack to include multiplexed live cell screening assays with counter-screens against the closely related homologs in order to identify unique antibodies against the target epitope. The GPCR was expressed in its natural conformation on live cells, bypassing the need for complicated protein purification and handling. The ability to screen against live cells at such high throughput, while simultaneously screening for specificity against closely related homologs, is a powerful application of our platform.

Result. Within three months, we identified hundreds of unique antibodies against the target epitope, including several that were the desired functional antagonists. This number of antibodies from a screening campaign against a GPCR, plus the high frequency of functional candidates, is a significant success, and a lead candidate was subsequently identified by our partner and advanced into IND-

enabling studies. This project demonstrates the power of our technology stack to increase the probability of success for antibody drug discovery campaigns against difficult targets.

Overcoming Tolerance with Proprietary Immunization and Deep Search Technologies

Antibodies produced by immunized animals are subject to immune tolerance, the process by which the body suppresses antibodies that react to self-antigens. This makes it difficult to generate diverse sets of antibodies against human targets that are similar or identical to the analogous proteins expressed by the animal being immunized. The difficulty in generating immune responses against self-similar targets has long been perceived as a drawback of discovery from natural immune repertoires. Our technology and proprietary immunization approaches allow us to generate diverse antibodies against such targets.

Problem. A partner approached us with a human target with 100% homology across mice, rats and humans. In addition, the human target had two related protein homologs, against which any discovered antibodies must discriminate.

Solution. In this campaign we deployed our proprietary and optimized immunization protocols to first generate a robust immune response in rodents. Next, we developed a high throughput single-cell screening strategy that used multiplexed fluorescence detection to find antibodies specific to the target, but that did not bind the two homologous proteins.

Result. We screened four million single cells from the immunized rodents and identified more than 1,900 target-specific antibodies, a hit-frequency that demonstrates a robust immune response breaking tolerance against a 100% homologous target. Of these hits, we identified 428 unique antibody leads with a degree of somatic hypermutation that indicates a mature and directed immune response against a difficult target.

Single Chain Antibody Discovery from Camelids

HcAbs are single-chain antibodies lacking light chains, found naturally in camelids such as llamas and alpacas (along with conventional paired heavy and light chain IgG antibodies, at approximately 50% frequency). HcAbs are valuable for various antibody-based therapeutics, such as bispecific antibodies, antibody-drug conjugates and CAR-Ts. In addition, the decreased complexity of having only single chains comprising the antibody molecules means they are more straightforward to produce and manufacture.

Problem. A partner needed to identify HcAbs from immunized llamas against transforming growth factor beta-3, or TGF-ß3, that could also discriminate between closely related homologs, transforming growth factor beta-1, or TGF-ß1, and transforming growth factor beta-2, or TGF-ß2. The partner did not have the screening technology to identify antibodies with such restricted specificity.

Solution. We designed custom reagents to distinguish HcAbs from conventional IgGs in llamas and also designed custom assays to identify HcAbs specific to TGF-ß3 that could differentiate between TGF-ß1 and TGF-ß2. To find these rare antibodies, we deployed our deep screening platform and screened approximately 20 million single cells over four days to deeply mine the immune response. We identified 67 unique HcAbs, which is a <0.001% antigen specific HcAb hit frequency, indicating an exceedingly rare antibody. This illustrates the flexibility of our platform to discover non-conventional antibody modalities, from alternative species, and the depth required to find rare antibodies with very specific properties.

Human Immune Profiling

An important application of immune profiling is devising improved strategies for the prevention and treatment of viral pathogens such as influenza. Influenza is a recurring seasonal epidemic with major pandemic potential. A significant challenge in addressing influenza is that it is constantly changing. Seasonal strains that circulate in a population accumulate mutations that are influenced by the existing population immunity, resulting in the emergence of new strains for which existing vaccines are less effective. Even more concerning, novel strains can sometimes emerge when viruses that normally infect only animals rearrange their genes in a way that allow them to jump to the human population. Functional profiling human immune responses to influenza infection or vaccination may assist in developing antibody or vaccine products that help protect against serious influenza infections.

Problem. Deep sequencing technologies have been applied to broadly survey the diversity of antibody sequences generated during an immune response. However, such technologies do not indicate which antibodies bind to the target of interest, where they bind on the target or which are most protective against infection.

Solution. To identify antibodies against influenza that may be effective in passive immunotherapy treatments (highly specific and potently neutralizing) and vaccine development (recognizes multiple strains of influenza to inform vaccines that generate long-lasting immunity), we screened four million single cells from multiple human donors. We designed a custom multiplexed screening

strategy to simultaneously profile antibodies for their binding profiles against four hemagglutinin proteins derived from H1N1, H2N3, H3N2 or H5N1 influenza strains. We then recovered single cells with desired binding properties for sequencing to determine their heavy and light chain sequences. For selected antibodies we then searched RepSeq data for related antibody sequences.

Results. Our influenza screen uncovered 19,920 influenza-specific antibodies, from which we recovered and sequenced 3,646. This resulted in 1,743 unique antibodies grouped within 860 clonal lineages. Through the combination of single-cell sequences and RepSeq data, we were able to construct detailed antibody lineages for virus-specific antibodies, and then to expand the number of selected virus-specific antibodies by approximately 50 times.

Research and Development—Platform Expansions

We have several active research efforts to expand the breadth and depth of our technology stack. In addition to research and development directed to improve the speed, efficiency, throughput and capabilities of our existing technologies, we have initiated the following platform development projects:

GPCR and Ion Channel Targets. We believe our immunization and screening platform provide us with a competitive advantage in the discovery of antibody against traditionally difficult multi-pass transmembrane proteins, including GPCRs and ion channels. To date we have successfully applied our technology to discover panels of hundreds of antibodies against these target classes, with the most advanced of these programs now at late-stage preclinical development. However, we believe further improvements at the Source and Engineer steps of our technology stack would allow us to more fully unlock the potential of these target classes. To this end, in 2019 we started a research and development group, Channel Bio, in Sydney Australia, that is developing technologies specifically for GPCR and ion channel targets.

Transgenic rodents. Our recent acquisition of the Trianni platform of humanized rodents, plus the integration of key research and development personnel from Trianni, enables us to generate novel next-generation humanized transgenic rodents to further our platform and offering to partners. The suite of humanized rodents available or in development will serve as the foundation for additional engineering to create novel humanized rodents.

Cell Line Development. Using our microfluidic single-cell screening platform and based on patented clonal selection methods that we have exclusively licensed from UBC, we are developing optimized workflows that we believe may accelerate the development of clonal cell lines with increased productivity in the expression of antibodies.

CMC and GMP Antibody Manufacturing. We are planning a further facilities expansion of approximately 200,000 square feet that will support cell line development, process development and GMP manufacturing of antibody therapeutics. Upon completion of this facility, we expect to be able to support our partners from program initiation to fill-finish. We believe the integration of an optimized manufacturing process with our discovery and protein engineering capabilities will create synergies in speed and efficiency and will allow us to more rapidly test and validate new antibody therapeutic formats, including bispecific antibodies or antibody conjugates. We expect to have completed this facility and to have GMP manufacturing capabilities in commercial use in approximately three to four years. In April 2020, in support of this effort, we received a commitment for up to CAD $175.6 million ($125.6 million) in financing from the Canadian government.

Competition

The market for technologies that enable the discovery and development of therapeutic antibodies, such as ours, is global, characterized by intense competition and subject to significant intellectual property barriers. The solutions and applications offered by our competitors vary in size, breadth and scope, and given the broad promise of antibody therapeutics, we face competition from many different sources, including companies developing single-cell screening technologies, antibody RepSeq and antibody engineering technologies, using a variety of business models, including the development of internal pipelines of therapeutics, technology licensing, and the sale of instruments and devices. We also face competition from integrated contract research organizations that use traditional hybridoma, phage, and yeast display technologies in discovery. Due to the significant interest and growth in antibody therapeutics more broadly, we expect the intensity of this competition to increase.

We are democratizing the industry by providing our partners of all sizes with access to our centralized operating system We seek to deliver a complete solution for our partners by providing uniquely integrated proprietary technologies that address each step in the discovery process, including immune RepSeq, single-cell analysis, AI, and transgenic rodent platforms. Many emerging and

established life sciences companies have been built around technologies that focus on one or a limited number of these steps. Examples include:

We also face direct business competition from companies that provide antibody discovery services using technologies such as hybridoma and display. Companies with discovery business models that include downstream payments include Adimab LLC, Distributed Bio Inc. and WuXi Biologics Inc. In addition, we compete with a variety of fee-for-service contract research organizations that provide services, in most cases using legacy technologies, that compete with one or more steps in our technology stack.

For a discussion of the risks we face relating to competition, see “Risk Factors—Risks Related to our Business and Strategy—The life sciences technology market is highly competitive, and if we cannot compete successfully with our competitors, we may be unable to increase or sustain our revenue, or achieve and sustain profitability.”

Intellectual Property

We strive to protect the proprietary technologies that we believe are important to our business, including seeking and maintaining patent protection intended to cover the compositions of matter of our product candidates, their methods of use, related technology, and other inventions that are important to our business.

Our success depends in part on our ability to obtain and maintain intellectual property protection for the components of our technology stack and products arising from the same; to defend and enforce our patents, to preserve the confidentiality of our trade secrets, and to operate without infringing valid and enforceable patents and other proprietary rights of third parties; and to identify new opportunities for intellectual property protection.

As of December 31, 2020, we owned or exclusively licensed over 50 issued or allowed patents and over 85 pending patent applications worldwide, which includes over 30 issued U.S. patents and over 20 pending U.S. patent applications. We own registered trademarks and trademark applications for AbCellera, Celium, Trianni and the Trianni Mouse in the U.S., Canada and Europe.

Obtaining patent protection is not the only method that we employ to protect our propriety rights. We also utilize other forms of intellectual property protection, including trademark, copyright, internal know how and trade secrets, when those other forms are better suited to protect a particular aspect of our intellectual property. Our belief is that our propriety rights are strengthened by our comprehensive approach to intellectual property protection. It is our policy to require our employees, consultants, outside scientific collaborators, sponsored researchers and other advisors to execute confidentiality and invention assignment agreement upon accepting employment or consulting relationships with us. These agreements provide that all confidential information concerning our business or financial affairs developed or made known to the individual during the course of the individual’s relationship with us is to be kept confidential and not disclosed to third parties except in specific circumstances. In the case of employees, the agreements provide that all inventions conceived by the individual, and which are related to our current or planned business or research and development or made during normal working hours, on our premises or using our equipment or proprietary information, are our exclusive property. We are diligent in taking precautions that our proprietary information is not released to third parties through the use of security measures. Our trade secrets encompass certain reagent compositions and concentrations, nucleic acid vector sequences and immunization protocols.

Data Rights

Our product to partners is data on the composition of matter of antibodies and their properties. We enter into contracts that allow us rights to use the data that we generate for the purpose of improving our technology stack and fueling machine-learning algorithms. We maintain strict firewall protocols so target-specific data derived from a client cannot be used to inform the discovery on another project by a different client.

Patent Portfolio

We have developed an expansive patent portfolio with claims related to multiple aspects of our technology stack, beginning with our first patent applications exclusively licensed from UBC, in 2013. We continuously assess new ways to improve our technology platform through license or acquisition of third-party patent portfolios, as was the case with our acquisitions of Lineage in 2017 and the OrthoMab platform from Dualogics in 2020, our recent acquisition of Trianni Inc. and our license agreement with Alloy Therapeutics in 2020.

Our patent prosecution strategy encompasses the pursuit of protection for our technology stack and tangentially related methods.

UBC License

In December 2013, we executed a license agreement with UBC, or the UBC License, to gain a worldwide, exclusive license to certain patents, or the UBC Patents, patented at UBC by Dr. Hansen and his team for the later of 20 years from the start date of the UBC License, or the expiry date of the last patent licensed under the UBC License. Under the terms of the UBC License, we have the right to sublicense a subset of the UBC Patents and a worldwide, exclusive license to UBC Improvements and/or Joint Improvements on these Patents solely in the antibody field of use. In addition, for a second subset of the UBC Patents, we have a worldwide, exclusive license to use and sublicense solely within the antibody field of use.

Under the terms of the UBC License, we paid a CAD $57 ($53) initial license fee and pay annual license fees to UBC during the term of the UBC License. We also pay UBC a low single-digit royalty on our revenue and a single-digit royalty of our sublicensing revenue during the term of the UBC License. UBC was also granted a single-digit percent equity position in our company.

Under the terms of the UBC License, in consultation with UBC we manage the filing, maintenance and prosecution of the licensed patents and we pay all costs associated with the same while we control all litigation associated with the licensed patents.

UBC may terminate the license under certain circumstances, including in the case of our insolvency, winding up or liquidation, if a court or similar process is levied on the rights under the agreement or on money due to UBC that is not released, if the subject technology becomes subject to a security interest that is not released, if we or any of our directors or officers have materially breached or failed to comply with securities laws, or in the event of certain breaches of, or failure to perform, our obligations under the license or other agreements between us and UBC. Either party may terminate the license for any breach which is not remedied within certain specified time periods.

The UBC Core Patents

The UBC Core Patent license includes a patent family directed toward certain systems, devices and methods for microfluidic cell culture. This patent family includes four issued U.S. patents and one pending U.S. non-provisional patent application. Issued patents from this family are expected to expire in July 2031, absent any disclaimers or extensions available.

The UBC Core Patent license also includes a patent family directed toward systems and methods for assaying binding interactions between a protein produced by a single cell, e.g., an antibody produced by a single B cell, and a second biomolecule (e.g., antigen) in microfluidic chambers and devices. This patent family includes twelve issued U.S. patents and three pending U.S. non-provisional patent applications. Issued patents from this family are expected to expire in July 2031, absent any disclaimers or extensions available.

A patent family directed toward methods for assaying functional properties exhibited by a protein produced by a single cell, e.g., an antibody produced by a single B cell, and a second biomolecule (e.g., antigen) in microfluidic chambers and devices is also included in the UBC Core Patent license. This patent family includes patents issued in the U.S. and Australia and granted in Europe, as well as one pending U.S. non-provisional patent application and seven pending foreign counterpart patent applications. Issued patents from this patent family are expected to expire in March 2034, absent any disclaimers or extensions available.

Lastly, the UBC Core Patent license includes a patent family directed toward methods for determining lymphocyte receptor chain pairs, for example, antibody heavy and light chain pairs. This patent family includes an issued U.S. patent and a granted patent in Europe, as well as one pending U.S. non-provisional patent application and two pending foreign counterpart patent applications. Issued patents from this patent family are expected to expire in May 2035, absent any disclaimers or extensions available.

Lineage

The Lineage patent portfolio complements our single-cell microfluidic intellectual property with downstream methods of sequencing reaction preparation, immune RepSeq and analysis. The immune repertoire patents and applications that we obtained from Lineage form the basis for the sequencing technologies that we currently use in our technology stack.

Stanford License

Through our acquisition of Lineage, we obtained an exclusive license from Stanford University to patents and patent applications directed toward immune RepSeq. Our Stanford license includes one patent family directed toward methods of characterizing an immune repertoire. This patent family includes four issued U.S. patents and one granted patent in Europe, as well as one pending U.S. non-provisional patent application and one pending foreign counterpart patent application. Issued patents from this patent family are expected to expire in May 2031, absent any disclaimers or extensions available. The Stanford license also includes another patent family directed toward methods of characterizing immune response and vaccine selection. This patent family includes two issued U.S. patents and one pending U.S. non-provisional patent application. Issued patents from this patent family are expected to expire in February 2034, absent any disclaimers or extensions available.

Under the terms of the Stanford license, we are required to pay Stanford a yearly license maintenance fee, as well as certain milestone payments in an aggregate amount not to exceed $140,000. We are also required to pay Stanford low single-digit royalties on net sales of licensed products as well as a portion of non-royalty sublicensing revenues. The term of the Stanford license runs until the last licensed patent expires, and our obligation to pay royalties will continue so long as there is a valid claim of a licensed patent. Stanford may terminate the agreement governing the license if we are in material default in the provision of any report or payment of any amounts due to Stanford under the agreement, we do not use commercially reasonable efforts to develop or commercialize licensed products, we do not achieve certain diligence milestones, we are in material breach of any provision of the agreement, or if we provide any materially false report to Stanford. We may terminate the agreement at any time upon at least 30 days notice to Stanford.

In addition to the Stanford license, the acquisition of Lineage included a patent portfolio comprising four patent families. One patent family is directed toward methods of determining the immune repertoire of a subject. This patent family includes one granted patent in Europe, two pending U.S. non-provisional patent applications, and four pending foreign counterpart patent applications. Issued patents from this patent family are expected to expire in March 2034, absent any disclaimers or extensions available.

Another patent family is directed toward tagging target oligonucleotides. This patent family includes two issued U.S. patents, one issued patent in China, and two granted patents in Europe. This patent family also includes one pending U.S. non-provisional patent application and one pending foreign counterpart patent application. Issued patents from this patent family are expected to expire in March 2034, absent any disclaimers or extensions available.

An additional patent family is directed toward methods for detection of isotype profiles as signatures for disease. This patent family includes patents issued in Japan and China, as well as a patent granted in Europe. This patent family also includes three pending foreign counterpart patent applications. Issued patents from this patent family are expected to expire in September 2032, absent any disclaimers or extensions available.

Lastly, the Lineage patent portfolio includes a patent family directed toward compositions and methods for analyzing heterogeneous samples. This patent family includes a granted patent in Europe and an issued patent in Hong Kong. This family also includes one pending U.S. non-provisional patent application and three pending foreign counterpart applications. Issued patents from this patent family are expected to expire in September 2032, absent any disclaimers or extensions available.

OrthoMab

As part of our agreement to purchase certain assets from Dualogics related to its OrthoMab bispecific antibody platform, we were assigned Dualogics’ interests and rights to that certain Exclusive License Agreement between Dualogics and the University of North Carolina at Chapel Hill, effective February 22, 2019, or the UNC Agreement. Under the UNC Agreement, we have an exclusive license to UNC’s rights under three patent families.

One patent family is directed toward methods of producing a fragment, antigen binding (Fab). This patent family includes three issued U.S. patents and one patent granted in Europe. Issued patents from this patent family are expected to expire in March 2034, absent any disclaimers or extensions available.

Another patent family is directed toward IgG bispecific antibodies and processes for preparation. This patent family includes one issued U.S. patent, one pending U.S. non-provisional patent application, and one foreign counterpart patent application. Any patents that issue from this patent family are expected to expire in January 2036, absent any disclaimers or extensions available.

The last patent family is directed toward methods for producing Fabs and IgG bispecific antibodies. This patent family includes one pending U.S. and one pending foreign counterpart patent applications. Any patents that issue from this patent family are expected to expire in December 2037, absent any disclaimers or extensions available.

Under the terms of the OrthoMab asset purchase, we granted Dualogics a sublicense under the three patent families to develop, market, sell and otherwise commercialize its existing programs related to the OrthoMab technology.

Under the terms of the UNC Agreement, we are required to pay UNC an annual license maintenance fee, low single-digit royalties on net sales of clinically approved and other products as well as sublicense fees. The term of the license and our obligation to pay royalties runs until the last licensed patent expires. UNC may terminate the agreement governing the license if there is a material breach by us of the agreement and we fail to cure such breach, which breaches include but are not limited to our failure to deliver payment to UNC when due, to provide progress reports, to meet or achieve performance milestones or to possess and maintain insurance, or the execution of a sublicense that complies with the terms of the agreement. We may terminate the agreement at any time upon at least 60 days notice to UNC.

Trianni

Through our acquisition of Trianni Inc., we acquired all existing intellectual property including issued patents and pending applications worldwide relating to the flagship Trianni mouse and new platforms in development. We also acquired Trianni’s trademarks including the terms “Trianni” and “Trianni Mouse” that have been issued in the United States and various other jurisdictions worldwide.

The Trianni intellectual property portfolio includes issued patents and pending applications in the U.S. and certain jurisdictions around the world.

In one patent family, the patents are directed to transgenic animals and methods of use. This patent family includes eight issued patents including in the U.S., Australia, the Russian Federation, Europe, India, and Japan. There are three pending applications, one in the U.S., one in Canada and one in Japan. Patents issuing from this family are expected to expire in July 2031, absent any disclaimers or extensions available.

Another patent family is directed to enhanced production of immunoglobulins. This patent family includes seven pending applications including one in the U.S and six in pending foreign counterparts including Australia, Canada, Europe, Israel, Japan and Korea. Any patents that issue from this family are expected to expire in February 2037, absent any disclaimers or extensions available.

Another patent family is also directed to enhanced production of immunoglobulins. This patent family includes eight pending applications including one in the U.S. and six in pending foreign counterparts including Australia, Canada, Europe, Israel, Japan, China and Korea. Any patents that issue from this family are expected to expire in August 2035, absent any disclaimers or extensions available.

Another patent family is directed to enhanced immunoglobulin diversity. This patent family includes one issued patent in the U.S. and two pending applications including one in the U.S. and one in Europe. Issued patents from this family are expected to expire in December 2035, absent any disclaimers or extensions available.

Another patent family is directed to transgenic mammals that express canine-based immunoglobulins. This patent family contains one issued U.S. patent and one pending application in the U.S. Issued patents from this family are expected to expire in July 2031, absent any disclaimers or extensions available.

Another patent family is directed to transgenic mammals that express bovine-based immunoglobulins. This patent family contains one issued U.S. patent. Issued patents from this family are expected to expire in July 2031, absent any disclaimers or extensions available.

Another patent family is directed to enhanced production of immunoglobulins. This patent family includes one pending application in the U.S. Any patents that issue from this family are expected to expire in August 2035, absent any disclaimers or extensions available.

Another patent family is directed to transgenic mammals that express canine-based immunoglobulins. This patent family contains two pending applications, one in the U.S. and one PCT application. Issued patents from this family are expected to expire in July 2039, absent any disclaimers or extensions available.

Another patent family is directed to transgenic mammals that express bovine-based immunoglobulins. This patent family contains one pending PCT application. Issued patents from this family are expected to expire in July 2039, absent any disclaimers or extensions available.

Another patent family is directed to single chain VH and heavy chain antibodies. This patent family contains seven pending applications including one in the U.S. and Canada, Australia, China, Europe, Israel and Japan. Issued patents from this family are expected to expire in July 2037, absent any disclaimers or extensions available.

Another patent family is directed to long germline DH gene and long HCDR3 antibodies. This patent family contains two pending applications including one in the U.S. one in Europe. Issued patents from this family are expected to expire in October 2037, absent any disclaimers or extensions available.

Another patent family is directed to transgenic mammals and methods of use. This patent family contains two pending applications including one in the U.S. and one in Europe. Issued patents from this family are expected to expire in August 2039, absent any disclaimers or extensions available.

AbCellera

We also aim to continue developing our product portfolio. We currently own several recently filed pending U.S. non-provisional patent applications directed toward methods for high throughput screening of multispecific antibody libraries and anti-coronavirus antibodies and methods of use.

The term of individual patents depends upon the legal term of the patents in the countries in which they are obtained. In the countries in which we file, the patent term is 20 years from the earliest non-provisional filing date, subject to any disclaimers or extensions. The term of a patent in the United States can be adjusted due to any failure of the United States Patent and Trademark Office following certain statutory and regulation deadlines for issuing a patent.

In the United States, the patent term of a patent that covers an FDA-approved drug may also be eligible for patent term extension, which permits patent term restoration as compensation for a portion of the patent term lost during the FDA regulatory review process. The Hatch-Waxman Act permits a patent term extension of up to five years beyond the original expiration of the patent. The protection provided by a patent varies from country to country, and is dependent on the type of patent granted, the scope of the patent claims, and the legal remedies available in a given country.

For a discussion of the risks we face relating to intellectual property, see “Risk Factors—Risks Related to our Intellectual Property—If we are unable to obtain and maintain sufficient intellectual property protection for our technology, including our platform and Celium, our proprietary antibody visualization software, or if the scope of the intellectual property protection obtained is not sufficiently broad, our competitors could develop and commercialize technologies or a platform similar or identical to ours, and our ability to successfully sell our data packages may be impaired.”

Commercial

A vast majority of our historical revenue reflects upfront payments from research programs. Our partnership agreements include: (i) payments for technology access and performance of research; (ii) downstream payments in the form of clinical and commercial milestones and (iii) royalties on net sales of therapeutics. We structure our agreements in a way that directly aligns our partners’ economic interest with our own. We believe the long-term value of our business will be driven by downstream milestone and royalty payments.

We forge partnerships with drug developers of all sizes, from large cap pharmaceutical to small biotechnology companies. Our partners are predominantly based in the United States and Europe. As ofDecember 31, 2020, we had a total of 27 partners for whom we were conducting drug discovery activities. For the year ended December 31, 2019, two of our partners accounted for 47% and 15% of revenue, and eleven partners accounted for the remaining 38% of revenue. For the year ended December 31, 2020, three of our partners accounted for 35%, 25%, and 14% of our research fees revenue and eight partners accounted for the remaining 26% of research fees revenue. For the year ended December 31, 2020, we recognized our first milestone and royalty revenue streams, totaling $213.3 million, exclusively from our partnership with Lilly. Our partnership with Lilly constituted one of the partnerships that generated 10% or more of our consolidated revenues during the one or more periods described above. With respect to the other

partners, we do not believe the loss of any one or more of such partners would have a material adverse effect on us and our subsidiaries taken as a whole.

Over the past year we have grown our workforce by 93%, moving from 107 to 206 full-time employees. As of December 31, 2020, we had 206 full-time employees in Canada, the United States and Australia, which was comprised of approximately 51% scientists, 26% business professionals, and 23% engineers and data scientists.

Our strategy involves:

Our sales and marketing team is growing in proportion to the needs of the business and has been complemented with research and development staff attending a variety of scientific conferences, which has helped increase the business development pipeline. We plan to further expand our commercial sales, marketing and business development teams, increase our presence globally and increase marketing activities to drive awareness and adoption of our platform.

Employees and Human Capital Resources

As of December 31, 2020, we had 206 full-time employees in Canada, the United States and Australia, which was comprised of approximately 51% scientists, 26% business professionals, and 23% engineers and data scientists. None of our employees are represented by a labor union or covered under a collective bargaining agreement. As of December 31, 2020, 189 of our employees were employed in Canada, 13 were employed in Australia and 4 were employed in the United States. We consider our relationship with our employees to be excellent.

Our human capital resources objectives include, as applicable, identifying, recruiting, retaining, incentivizing and integrating our existing and additional employees. The principal purposes of our equity incentive plans are to attract, retain and motivate selected employees, consultants and directors through the granting of stock-based compensation awards.

Government Regulation

Our focus is on the discovery of antibodies that our partners use to improve the speed and success of their drug discovery efforts; however, we ourselves are not currently involved in drug discovery, do not manufacture any products and do not conduct any clinical trials. As such, while we are subject to a number of regulations, such as those governing our laboratory facilities as well as regulations that apply to businesses in the private sector generally, we are not subject to many of the types of regulations that ordinarily apply to companies in the life sciences, biotechnology and pharmaceutical sectors and industries. However, we believe that the long-term success of our business depends, in part, on our partners’ ability to successfully develop and sell products using the antibodies that we discover. The regulations that govern our pharmaceutical and biotechnology partners are those we therefore believe have the most significant impact on our business.

Government authorities in the United States, at the federal, state and local level, and in the European Union and other countries and jurisdictions, extensively regulate, among other things, the research, development, testing, manufacturing, quality control, approval, labeling, packaging, storage, record-keeping, promotion, advertising, distribution, post-approval monitoring and reporting, marketing and export and import of pharmaceutical products, including biological products such as those that our partners develop. The processes for obtaining marketing approvals in the United States and in foreign countries and jurisdictions, along with subsequent compliance with applicable statutes and regulations and other regulatory authorities, require the expenditure of substantial time and financial resources.

Our partners will be subject to a variety of regulations in applicable jurisdictions governing, among other things, clinical studies and any commercial sales and distribution of their products. Whether or not our partners obtain FDA or EU approval for a product, they must obtain the requisite approvals from regulatory authorities in foreign countries prior to the commencement of clinical studies or marketing of the product in those countries. The requirements and process governing the conduct of clinical studies, product licensing, coverage, pricing and reimbursement vary from country to country.

One such regulatory authority that is applicable to certain of our partners is the United States Secretary of Health and Human Services’ authority to authorize unapproved medical products, to be marketed in the context of an actual or potential emergency that has been designated by government officials. The COVID-19 pandemic has been designated such a national emergency. After an emergency has been announced, the Secretary of Health and Human Services may authorize the issuance of, and the FDA Commissioner may issue, Emergency Use Authorizations, or EUAs, for the use of specific products based on criteria established by statute, including that the product at issue may be effective in diagnosing, treating, or preventing serious or life-threatening diseases when there are no adequate, approved, and available alternatives. An EUA is subject to additional conditions and restrictions and is product-specific. An EUA terminates when the emergency determination underlying the EUA terminates. An EUA is not a long-term alternative to obtaining FDA approval, licensure, or clearance for a product. The FDA may revoke an EUA where it is determined that the underlying health emergency no longer exists or warrants such authorization, so it is not possible to predict how long an EUA may remain in place.

Similar to the United States, Canada has developed a mechanism to authorize unapproved medical products to be marketed in the context of certain emergencies. In particular, under the Food and Drugs Act (Canada), the federal Minister of Health may make an Interim Order if the Minister believes that immediate action is required to deal with a significant risk to health, safety or the environment. The Minister has made various Interim Orders in the context of the COVID- 19 pandemic. These Interim Orders provide the Minister with the authority to permit the sale of a COVID-19 drug in Canada via multiple new mechanisms, including authorizing a COVID-19 indication for a new drug with a modified set of application requirements with the potential for additional terms and conditions, as well as the possibility of authorizing a drug based on certain elements already being authorized by a foreign regulatory authority. Each Interim Order is valid for no longer than a one-year term and an authorization for importation and sale issued under an Interim Order is only valid for as long as the Interim Order is in effect. As is the case with EUAs in the United States, authorizations issued under an Interim Order are not a long-term alternative to obtaining Health Canada licensure for a product. Health Canada is currently considering various options to minimize disruptions for the ongoing authorization of drugs upon the expiry of an Interim Order with the intent to implement transition as needed.

Additional Regulation

In addition to the foregoing, provincial, state and federal U.S. and Canadian laws regarding environmental protection and hazardous substances affect our business. These and other laws govern our use, handling and disposal of various biological, chemical and radioactive substances used in, and wastes generated by, our operations. If our operations result in contamination of the environment or expose individuals to hazardous substances, we could be liable for damages and governmental fines. We believe that we are in material compliance with applicable environmental laws and that continued compliance therewith will not have a material adverse effect on our business. We cannot predict, however, how changes in these laws may affect our future operations.

Anti-Corruption Laws

We are subject to the U.S. Foreign Corrupt Practices Act of 1977, as amended, or the FCPA, the U.S. domestic bribery statute contained in 18 U.S.C. § 201, the U.S. Travel Act, the USA PATRIOT Act, the Canadian Corruption of Foreign Public Officials Act and possibly other state and national anti-bribery and anti-money laundering laws in countries in which we conduct activities, such as the UK Bribery Act 2010 and the UK Proceeds of Crime Act 2002, collectively, Anti-Corruption Laws. Among other matters, such Anti-Corruption Laws prohibit corporations and individuals from directly or indirectly paying, offering to pay or authorizing the payment of money or anything of value to any foreign government official, government staff member, political party or political candidate, or certain other persons, in order to obtain, retain or direct business, regulatory approvals or some other advantage in an improper manner. We can also be held liable for the acts of our third party agents under the FCPA, the Canadian Corruption of Foreign Public Officials Act, the UK Bribery Act 2010 and possibly other Anti-Corruption Laws. In the healthcare sector, anti-corruption risk can also arise in the context of improper interactions with doctors, key opinion leaders and other healthcare professionals who work for state-affiliated hospitals, research institutions or other organizations.

Item 1A. Risk Factors.

Risks Related to Our Business and Strategy

We have incurred losses in certain years since inception and we may not be able to generate sufficient revenue to maintain profitability.

Our plan is to enter a phase of accelerated growth and we will be investing heavily in our business. We expect to experience variability in revenue and in expenses which makes it difficult to evaluate our business or our prospects. As such, we may incur losses that are materially larger than what we have previously incurred. We have incurred losses in certain years since our inception and anticipate that we will continue to incur significant losses for the foreseeable future. For the years ended December 31, 2019 and 2020, we incurred a net loss of $2.2 million and net earnings of $118.9 million, respectively. As of December 31, 2020, we had accumulated earnings of $114.2 million. We expect that our operating expenses will continue to increase significantly, including as we:

• market and sell our solutions to existing and new partners;

• acquire businesses or technologies to support the growth of our business;

• attract, hire and retain qualified personnel;

• prosecute and defend our ongoing and any future litigation;

• build our new good manufacturing practices, or GMP, manufacturing facility;

• experience any delays or encounter issues with any of the above.

Our expenses could increase beyond expectations for a variety of reasons, including as a result of our growth strategy and the increase in our operations. Since our inception, we have financed our operations primarily from revenue from upfront payments generated through our receipt of technology access fees and discovery research fees through the performance of service contracts with our partners, payments from partners upon the satisfaction of clinical milestones, government funding and one off government grants, the incurrence of indebtedness, and from private placements of our common and convertible preferred shares. Given our strategy and plans to invest in enhancing and scaling our business, we will need to generate significant additional revenue to achieve and sustain future profitability. Even though we have achieved profitability, we cannot be sure that we will remain profitable for any sustained period of time. We may not be able to generate sufficient revenue to sustain profitability and our recent and historical growth should not be considered indicative of our future performance.

Our revenue has fluctuated from period to period, and our revenue for any historical period may not be indicative of results that may be expected for any future period.

For the year ended December 31, 2019, a substantial portion of our revenue was generated by upfront technology access and research discovery fees through performing research activities for our partners. During the year ended December 31, 2020, we received payments from our partnership contracts generated upon the satisfaction of clinical milestones, as well as royalty payments for the first time. Upfront technology access fees are generated upon execution of our partnership agreements. Research and discovery fees are generated by research activities that we perform for our partners, the timing and nature of which are dictated by the commencement of antibody discovery campaigns selected by our partners. Clinical milestone payments are generated upon the achievement of development milestones by our partners with respect to the antibodies that we deliver. We are also eligible to receive royalty payments upon net sales of antibodies that we have discovered for our partners. In 2020, these royalty payments related to our partnership with Lilly upon sales of bamlanivimab, an antibody therapy designed to treat and prevent COVID-19. Therefore, significant amount of royalty payments that we have received in recent periods are derived from a compound developed in a single partnership, and there can be no assurance that the revenues we have generated in such periods will be replicated in future periods. For example, demand for and sales of bamlanivimab may fall as new COVID-19 treatments or vaccines enter the market. As a result, we currently do not generate significant recurring revenue and, until such time as we establish significant recurring revenue, if at all, we will be prone to regular fluctuations in our revenue dependent on the timing of our entry into partnership agreements, our partners initiating discovery programs, and our partners achieving development milestones or commercial sales with respect to drug candidates utilizing antibodies discovered using our platform. We do not expect to generate significant recurring revenue unless and until such time as we secure additional programs under contract that, in the aggregate, result in regular and continuous execution of new

partnership contracts, research discovery activities, achievement of development milestones or commencement of commercial sales. However, we are unable to predict whether and the extent to which the minimum annual payments under our partnership agreements will be exceeded, or the timing of the achievement of any milestones under these agreements, if they are achieved at all. In some cases, the timing and likelihood of payments to us under these agreements is dependent on our partners’ successful utilization of the antibodies discovered using our platform, which is outside of our control. Because of these factors, our operating results could vary materially from quarter to quarter from our forecasts.

Our quarterly and annual operating results have fluctuated significantly in the past and may fluctuate significantly in the future, which makes our future operating results difficult to predict and could cause our operating results to fall below expectations.

Our quarterly and annual operating results have fluctuated in the past and may fluctuate in the future, which makes it difficult for us to predict our future operating results. These fluctuations may occur due to a variety of factors, many of which are outside of our control, including, but not limited to:

• the start and completion of programs in which our platform is utilized;

• the timing and nature of any future acquisitions or strategic partnerships;

• future accounting pronouncements or changes in our accounting policies; and

For example, 2020 was the first year in which we received payments from a partner beyond upfront fees. The antibody, bamlanivimab developed by Eli Lilly and Company, or Lilly, has undergone clinical testing and has received Emergency Use Authorization from the FDA, and we have received associated clinical milestone payments and royalties on net sales in 2020. Lilly progressed into these clinical trials at a greatly accelerated pace as a result of the Coronavirus Treatment Acceleration Program, which is a special emergency program for possible coronavirus therapies created by the FDA in 2020 to expedite the development of potentially safe and effective life-saving treatments to combat the COVID-19 pandemic. With respect to other or future product candidates, there is no assurance that any of our partners or collaborators will be able to advance a product candidate through clinical development on this timeframe again in the future, or at all. We initiated our partnering program in 2015 and have only had this one program result in clinical milestone and royalty payments to us to date and we have not yet had a program receive marketing approval.

The effect of one of the factors discussed above, or the cumulative effects of a combination of factors discussed above, could result in large fluctuations and unpredictability in our quarterly and annual operating results. As a result, comparing our operating results on a period-to-period basis may not be meaningful. Investors should not rely on our past results as an indication of our future performance.

We may need to raise additional capital to fund our existing operations, improve our platform or expand our operations. If we are unable to raise additional capital on terms acceptable to us or at all or generate cash flows necessary to maintain or expand our operations, we may not be able to compete successfully, which would harm our business, operations, and financial condition.

Based on our current business plan, we believe our existing cash and cash equivalents and anticipated cash flows from operations, will be sufficient to meet our working capital and capital expenditure needs over at least the next 24 months following the date of this report. If our available cash resources together with our anticipated cash flow from operations are insufficient to satisfy our liquidity requirements including because of lower demand for our drug-discovery platform, or the realization of other risks described in this annual report, we may be required to raise additional capital prior to such time through issuances of equity or convertible debt securities, entrance into a credit facility or another form of third party funding or seek other debt financing. Such additional financing may not be available on terms acceptable to us or at all.

In any event, we may consider raising additional capital in the future to expand our business, to pursue strategic investments, to take advantage of financing opportunities or for other reasons. For example, this may include reasons such as to:

• fund development and marketing efforts of our current and future programs;

• acquire, license or invest in technologies;

• acquire or invest in complementary businesses or assets; and

• finance capital expenditures and general and administrative expenses.

Our present and future funding requirements will depend on many factors, including:

• our ability to achieve revenue growth;

• the effect of competing technological and market developments;

• costs related to any domestic and international expansion.

The various ways we could raise additional capital carry potential risks. If we raise funds by issuing equity securities, dilution to our shareholders would result. Any preferred equity securities issued also would likely provide for rights, preferences or privileges senior to those of holders of our common shares. If we raise funds by issuing debt securities, those debt securities would have rights, preferences and privileges senior to those of holders of our common shares. Debt financing and preferred equity financing, if available, may also involve agreements that include covenants restricting our ability to take specific actions, such as incurring additional debt, selling or licensing our assets, making product acquisitions, making capital expenditures, or declaring dividends. For example, our agreement with the Canadian Ministry of Western Economic Diversification, or WD Canada, under the Western Innovation Initiative and the Business Scale-up and Productivity programs, as well as our agreement with the Strategic Innovation Fund, or SIF, requires us to obtain the consent of WD Canada or SIF, as applicable, before being able to engage in certain change of control and asset disposition transactions during the term of the agreement. In particular, our agreement with the SIF requires us to obtain consent in the event that an individual or company (or two or more of them acting in concert) acquires the direct or indirect beneficial ownership of 20% or more of our voting securities. In the event consent is not obtained, the agreement may be terminated and we will be obligated to repay all or a portion of the contribution amounts from WD Canada and SIF.

If we are unable to obtain adequate financing or financing on terms satisfactory to us, if we require it, our ability to continue to pursue our business objectives and to respond to business opportunities, challenges, or unforeseen circumstances could be significantly limited, and could have a material adverse effect on our business, financial condition, results of operations and prospects.

Our commercial success depends on the quality of our antibody discovery platform and technological capabilities and their acceptance by new and existing partners in our market.

We utilize our drug-discovery platform to identify antibodies for further development and potential commercialization by our partners. As a result, the quality and sophistication of our platform and technology is critical to our ability to conduct our research discovery activities and to deliver more promising molecules and to accelerate and lower the costs of discovery as compared to traditional methods for our partnerships. In particular, our business depends, among other things, on:

• our partners’ and potential partners’ willingness to adopt new technologies;

• prices we charge for our data packages and the discoveries that we make;

• the relative reliability and robustness of our platform;

• our ability to develop new solutions for partners;

• the impact of our investments in innovation and commercial growth;

There can be no assurance that we will successfully address any of these or other factors that may affect the market acceptance of our platform or our technology. If we are unsuccessful in achieving and maintaining market acceptance of our platform, our business, financial condition, results of operations and prospects could be adversely affected.

If we cannot maintain and expand current partnerships and enter into new partnerships that generate discovery programs for antibodies, our business could be adversely affected.

We do not have our own pipeline of drug candidates, and instead we focus our efforts on the discovery of antibodies for targets that are selected by our partners. Our partners then use the data packages provided by us to develop their own drug candidates without our involvement. As a result, our success depends on our ability to expand the number and scope of our partnerships. Many factors may impact the success of these partnerships, including our ability to perform our obligations, our partners’ satisfaction with our data packages, our partners’ ability to successfully develop, secure regulatory approval for and commercialize drug candidates using antibodies discovered using our platform, our partners’ internal priorities (including fluctuations in research and developments budgets), our partners’ resource allocation decisions and competitive opportunities, disagreements with partners, the costs required of either party to the partnerships and related financing needs, and operating, legal and other risks in any relevant jurisdiction.

In our partnership programs, we maintain rights to large unique data sets that connect information at the level of single-cell measurements, DNA sequence and protein function. We use this data to create an accelerating flywheel of learning: data generation from our partnership business provides the basis for AI modules that lead to expanded capabilities and faster data generation which supports our partnership business. As a result, in addition to reducing our revenue or delaying the development of our future solutions, the loss of one or more of these relationships may reduce our exposure to such information, thus hindering our efforts to further our technological differentiation and improve our platform.

We engage in conversations with companies regarding potential partnerships on an ongoing basis. These conversations may not result in a commercial agreement. Even if an agreement is reached, the resulting relationship may not be successful, including due to our inability to discover any usable antibodies for the selected targets or the antibodies that we do discover may not be successfully developed or commercialized by our partners. In such circumstances, we would not generate any substantial revenues from such a collaboration in the form of discovery research fees, milestone payments, royalties or otherwise. Speculation in the industry about our existing or potential partnerships can be a catalyst for adverse speculation about us, or our data packages, which can adversely affect our reputation and our business.

In recent periods, we have depended on a limited number of partners for our revenue, the loss of any of which could have an adverse impact on our business.

In recent periods, a limited number of partnerships accounted for a significant portion of our revenues. For the year ended December 31, 2019, two of our partners accounted for 47% and 15% of revenue, and eleven partners accounted for the remaining 38% of revenue. For the year ended December 31, 2020, three of our partners accounted for 35%, 25% and 14% of our research fees revenue and eight partners accounted for the remaining 26% of research fees revenue. For the year ended December 31, 2020 we recognized our first milestone and royalty revenue streams, totaling $213.3 million, exclusively from our partnership with Lilly. Because a significant portion of our revenue in 2020 was derived from sales of bamlanivimab, any reduction in sales of this compound may materially and adversely affect our results of operations for future periods. For example, demand for and sales of bamlanivimab may fall as new COVID-19 treatments or vaccines enter the market. Therefore, there can be no assurance that we will generate similar levels of revenue from sales of bamlanivimab in future periods. These partnerships cover a large number of programs under contract, and therefore represent a large portion of potential downstream value. In addition, our partnership agreements are typically terminable at will with 90 days’ notice prior to identification of a target, after which point they may only be terminated for cause. As a result, if we fail to maintain our relationships with our partners or if any of our partners discontinue their programs, our future results of operations could be materially and adversely affected.

Biopharmaceutical drug development is inherently uncertain, and it is possible that none of the drug candidates discovered using our platform that are further developed by our partners will receive marketing approval or become viable commercial products, on a timely basis or at all.

We use our platform to offer antibody drug-discovery programs to partners who are engaged in drug discovery and development. These partners include large cap pharmaceutical companies, biotechnology companies of all sizes and non-profit and government organizations. While we receive upfront payments generated through our receipt of technology access fees and discovery research fees for performing research activities for our partners, we estimate that the vast majority of the economic value of the contracts that we enter into with our partners is in the downstream payments that are payable if certain milestones are met or approved products are sold. As a result, our future growth is dependent on the ability of our partners to successfully develop and commercialize therapies based on antibodies discovered using our platform. Due to our reliance on our partners, the risks relating to product development, regulatory clearance, authorization or approval and commercialization apply to us derivatively through the activities of our partners. While we believe our platform is capable of identifying high quality antibodies, there can be no assurance that our partners will successfully develop, secure marketing approvals for and commercialize any drug candidates based on the antibodies that we discover. As a result, we may not realize the intended benefits of our partnerships. We initiated our partnering program in 2015 and have only had one program result in two clinical milestone payments to us to date and we have not yet had a program receive clinical marketing approval.

Due to the uncertain, time-consuming and costly clinical development and regulatory approval process, our partners may not successfully develop any drug candidates with the antibodies that we discover, or our partners may choose to discontinue the development of these drug candidates for a variety of reasons, including due to safety, risk versus benefit profile, exclusivity, competitive landscape, commercialization potential, production limitations or prioritization of their resources. It is possible that none of these drug candidates will ever receive regulatory approval and, even if approved, such drug candidates may never be successfully commercialized. For example, under our research collaboration agreement with Lilly, we are eligible to receive and have received payments upon the achievement of certain development milestones, and are eligible to receive royalties resulting from sales of both COVID-19 and non-COVID-19 products that incorporate antibodies we discovered. While we have received milestone and royalty payments from this collaboration, there can be no assurance that we will receive additional milestone payments or any royalties in the future. Furthermore, there can be no assurance that Lilly will be successful in its further development of bamlanivimab. For example, based on trial data that suggested that bamlanivimab is unlikely to help hospitalized COVID-19 patients recover from this advanced stage of their disease, Lilly announced on October 26, 2020 that it has stopped enrolling additional patients for treatment with bamlanivimab in this study. Lilly is continuing its BLAZE-1 trial, a randomized, double-blind, placebo-controlled Phase 2 study conducted by Lilly that is designed to assess the efficacy and safety of bamlanivimab and an additional Lilly product candidate for the treatment of symptomatic COVID-19 in the outpatient setting. In the fall of 2020, Lilly received Emergency Use Authorization, or EUA, for bamlanivimab from the FDA and similar emergency authorization from Health Canada, and began sales of the antibody. As

a result, during the year ended December 31, 2020, we recognized an aggregate of $198.3 million in royalty payments on net sales of bamlanivimab. The FDA has the authority to grant an EUA to allow unapproved medical products to be used in an emergency to diagnose, treat, or prevent serious or life-threatening diseases or conditions when there are no adequate, approved, and available alternatives. Pursuant to the EUA by the FDA for bamlanivimab, Lilly is able to distribute bamlanivimab under the conditions set forth in the Emergency Use Authorization prior to FDA approval. Furthermore, the FDA may revoke an EUA where it is determined that the underlying health emergency no longer exists or warrants such authorization, and we cannot predict how long, if ever, an EUA would remain in place. Similarly, in Canada, under the Food and Drugs Act (Canada), the federal Minister of Health may make an Interim Order if the Minister believes that immediate action is required to deal with a significant risk to health, safety or the environment. As is the case with EUAs in the United States, authorizations issued under an Interim Order are not a long-term alternative to obtaining Health Canada licensure for a product. If the EUA or authorization issued under the Interim Order granted to Lilly are subsequently revoked, such revocation could adversely impact our business.

In addition, even if these drug candidates receive regulatory approval in the United States, our partners may never obtain approval or commercialize such drugs outside of the United States, which would limit their full market potential and therefore our ability to realize their potential downstream value. Furthermore, approved drugs may not achieve broad market acceptance among physicians, patients, the medical community and third-party payors, in which case revenue generated from their sales would be limited. Likewise, our partners have to make decisions about which clinical stage and pre-clinical drug candidates to develop and advance, and our partners may not have the resources to invest in all of the drug candidates that contain antibodies discovered using our platform, or clinical data and other development considerations may not support the advancement of one or more drug candidates. Decision-making about which drug candidates to prioritize involves inherent uncertainty, and our partners’ development program decision-making and resource prioritization decisions, which are outside of our control, may adversely affect the potential value of those partnerships. Additionally, subject to its contractual obligations to us, if one more of our partners is involved in a business combination, the partner might deemphasize or terminate the development or commercialization of any drug candidate that utilizes an antibody that we have discovered. If one of our strategic partners terminates its agreement with us, we may find it more difficult to attract new partners.

We are also subject to industry-wide FDA and other regulatory risk. The number of new drug applications, or NDAs, and biologics license applications, or BLAs, approved by the FDA varies significantly over time and if there were to be an extended reduction in the number of NDAs and BLAs approved by the FDA, the industry would contract and our business would be materially harmed.

Our partners’ failure to effectively advance, market and sell suitable drug candidates with the antibodies that we discover could have a material adverse effect on our business, financial condition, results of operations and prospects, and cause the market price of our common shares to decline. In addition to the inherent uncertainty in drug development addresses above, our ability to forecast our future revenues may be limited.

The failure of our partners to meet their contractual obligations to us could adversely affect our business.

Our reliance on our partners poses a number of additional risks, including the risk that they may not perform their contractual obligations to us to our standards, in compliance with applicable legal or contractual requirements, in a timely manner or at all; they may not maintain the confidentiality of our proprietary information; and disagreements or disputes could arise that could cause delays in, or termination of, the research, development or commercialization of products using our antibodies or result in litigation or arbitration.

In addition, certain of our partners are large, multinational organizations that run many programs concurrently, and we are dependent on their ability to accurately track and make milestone payments to us pursuant to the terms of our agreements with them. Any failure by them to inform us when milestones are reached and make related payments to us could adversely affect our results of operations.

Moreover, some of our partners are located in markets subject to political and social risk, corruption, infrastructure problems and natural disasters, and are often subject to country-specific privacy and data security risk as well as burdensome legal and regulatory requirements. Any of these factors could adversely impact their financial condition and results of operations, which could impair their ability to meet their contractual obligations to us, which may have a material adverse effect on our business, financial condition and results of operations.

We may be unable to manage our current and future growth effectively, which could make it difficult to execute our business strategy.

Since our inception in 2012, we have experienced rapid growth and anticipate further growth in our business operations. This growth requires managing complexities across all aspects of our business, including complexities associated with increased headcount, integration of acquisitions, expansion of international operations, expansion of facilities, including our new GMP facility, execution on new lines of business and implementations of appropriate systems and controls to grow the business. Our growth has required significant time and attention from our management, and placed strains on our operational systems and processes, financial systems and internal controls and other aspects of our business.

We expect to continue to increase headcount and to hire more specialized personnel in the future as we grow our business. We will need to continue to hire, train and manage additional qualified scientists, engineers, laboratory personnel, client and account services personnel and sales and marketing staff and improve and maintain our technology to properly manage our growth. We may also need to hire, train and manage individuals with expertise that is separate, supplemental or different from expertise that we currently have, and accordingly we may not be successful in hiring, training and managing such individuals. For example, if our new hires perform poorly, if we are unsuccessful in hiring, training, managing and integrating these new employees, or if we are not successful in retaining our existing employees, our business may be harmed. Improving our technology and processes have required us to hire and retain additional scientific, engineering, sales and marketing, software, manufacturing, distribution and quality assurance personnel. As a result, we have experienced rapid headcount growth, resulting in a total of 206 employees as of December 31, 2020. We currently serve partners around the world and plan to continue to expand to new international jurisdictions as part of our growth strategy, which will lead to increased dispersion of our employees. Moreover, we expect that we will need to hire additional accounting, finance and other personnel in connection with our efforts to comply with the requirements of being a public company. As a public company, our management and other personnel need to devote a substantial amount of time towards maintaining compliance with these requirements. A risk associated with maintaining this rate of growth, for example, is that we may face challenges integrating, developing and motivating our rapidly growing and increasingly dispersed employee base.

We may not be able to maintain the quality, reliability or robustness of our platform, or the expected turnaround times of our solutions and support, or to satisfy customer demand as it grows. Our ability to manage our growth properly will require us to continue to improve our operational, financial and management controls, as well as our reporting systems and procedures. If we are unable to manage our growth properly, we may experience future weaknesses in our internal controls, which we may not successfully remediate on a timely basis or at all. For example, in connection with the preparation and audits of our financial statements as of and for the years ended December 31, 2018 and 2019, a material weakness was identified in our internal control over financial reporting, as described elsewhere in this “Risk Factors” section. To effectively manage our growth, we must continue to improve our operational and manufacturing systems and processes, our financial systems and internal controls and other aspects of our business and continue to effectively expand, train and manage our personnel. The time and resources required to improve our existing systems and procedures, implement new systems and procedures and to adequately staff such existing and new systems and procedures is uncertain, and failure to complete this in a timely and efficient manner could adversely affect our operations and negatively impact our business and financial results.

We have invested, and expect to continue to invest, in research and development efforts that further enhance our antibody discovery platform. Such investments in technology are inherently risky and may affect our operating results. If the return on these investments is lower or develops more slowly than we expect, our revenue and operating results may suffer.

We use our technology stack for the discovery of antibodies and, since our inception, we have dedicated a substantial portion of our resources on the development of our platform and the technology that it incorporates to further enhance our antibody discovery platform. These investments may involve significant time, risks, and uncertainties, including the risk that the expenses associated with these investments may affect operating results and that such investments may not generate sufficient technological advantage relative to alternatives in the market which would, in turn, impact revenues to offset liabilities assumed and expenses associated with these new investments. The industry in which we operate changes rapidly as a result of technological and drug developments, which may render our solutions less desirable. We believe that we must continue to invest a significant amount of time and resources in our platform and technology to maintain and improve our competitive position. If we do not achieve the benefits anticipated from these investments, if the achievement of these benefits is delayed, or if our technology stack is not able to accelerate the process of antibody drug discovery as quickly as we anticipate, our revenue and operating results may be adversely affected.

Our partners have significant discretion in determining when and whether to make announcements, if any, about the status of our partnerships, including about clinical developments and timelines for advancing collaborative programs, and the price of our common shares may decline as a result of announcements of unexpected results or developments.

Our partners have significant discretion in determining when and whether to make announcements about the status of our partnerships, including about preclinical and clinical developments and timelines for advancing antibodies discovered using our platform. We do not plan to disclose the development status and progress of individual drug candidates of our partners, unless and until those partners do so first. Our partners may wish to report such information more or less frequently than we intend to or may not wish to report such information at all, in which case we would not report that information either. In addition, if partners choose to announce a collaboration with us, there is no guarantee that we will recognize research discovery fees in that quarter or even the following quarter, as such fees are not payable to us until our partner begins discovery activities. The price of our common shares may decline as a result of the public announcement of unexpected results or developments in our partnerships, or as a result of our partners withholding such information.

Our partners may not achieve projected discovery and development milestones and other anticipated key events in the expected timelines or at all, which could have an adverse impact on our business and could cause the price of our common shares to decline.

ABCL US Equity

ABCL · 10-K · period ended 2020-12-31

Item 1. Business.

Item 1A. Risk Factors.

ABCL US Equity☆

ABCL · 10-K · period ended 2020-12-31

Item 1. Business.

Item 1A. Risk Factors.

ABCL US Equity