AbCellera vs Insilico Medicine
Side-by-side comparison of AI visibility scores, market position, and capabilities
Vancouver-based antibody discovery platform with 104+ partner programs; $75M FY2025 revenue. Expanding into wholly owned assets with ABCL635 in Phase 1 for vasomotor symptoms.
About
AbCellera Biologics was founded in 2012 in Vancouver, Canada by Carl Hansen, growing out of research at the University of British Columbia. The company built a high-throughput antibody discovery platform integrating microfluidics, genomics, single-cell sequencing, and AI/ML to rapidly identify therapeutic antibody candidates from natural immune responses. AbCellera played a prominent role in the COVID-19 pandemic by discovering bamlanivimab for Eli Lilly in under 90 days.\n\nAbCellera's partnership model operates on a discovery fee plus downstream milestone and royalty structure, having started over 104 partner-initiated programs with downstream participation as of December 2025. Partners include major pharmaceutical companies and biotechs; the company expanded its collaboration with AbbVie in 2025 to develop T-cell engagers for oncology. Total FY2025 revenue was $75 million ($47M from royalties/licensing, $27M from partnered program work), compared to $29 million in 2024—a dramatic increase driven by royalty flows from approved medicines.\n\nIn 2025 AbCellera began transitioning from pure partnership model toward wholly owned therapeutic assets, with ABCL635 (a GnRH receptor antibody for vasomotor symptoms) entering Phase 1. The company maintains approximately $700 million in liquidity, providing a long runway. AbCellera is considered a foundational infrastructure provider for the antibody-based drug discovery ecosystem.
Insilico Medicine (HKEX: 3696) raised $293M, posted $56.2M revenue in 2025, and inked a $2.75B Eli Lilly deal in 2026 using generative AI to discover drug targets in cancer and CNS.
About
Insilico Medicine is a clinical-stage biotechnology company founded in 2014 that leverages generative AI for drug discovery and development. Headquartered in Boston with offices in Hong Kong and New York, the company has built AI platforms utilizing deep generative models, reinforcement learning, and transformers to discover novel drug targets and generate molecular structures with desired properties. Its pipeline spans cancer, fibrosis, CNS diseases, infectious diseases, autoimmune conditions, and aging-related diseases.
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