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.
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.
Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.
Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.
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