Exscientia (EXAI) Goldman Sachs 45th Annual Global Healthcare Conference summary
Event summary combining transcript, slides, and related documents.
Goldman Sachs 45th Annual Global Healthcare Conference summary
2 Feb, 2026Industry context and platform strategy
Biopharma faces high failure rates in clinical trials, with a need for better data and models to improve outcomes.
The focus is on using AI-driven drug design to address statistical causes of trial failure, not just biological mechanisms.
The platform is therapeutic area agnostic but internal expertise is concentrated in oncology; partnerships extend reach to other areas.
Proprietary data generation and automation are central to rapid, efficient learning cycles in drug development.
Automation facility has improved productivity by 75–90% in cost and time, enabling faster and more targeted experimentation.
Proprietary pipeline and clinical progress
Three main assets advancing: CDK7 inhibitor (617), LSD1 inhibitor (EXS539), and MALT1 inhibitor (565), all targeting oncology indications.
CDK7 inhibitor designed for reversible action and improved absorption, aiming to minimize toxicity and maximize efficacy in breast and potentially lung cancer.
LSD1 inhibitor is brain-penetrant, addressing both AML and small cell lung cancer, with design focused on reducing hematological toxicity.
MALT1 inhibitor optimized to avoid liver toxicity, targeting B-cell malignancies with a focus on CLL in combination with BTK inhibitors.
Clinical trials are adaptive, with global footprints in the US and Europe, and initial data readouts expected later this year.
Partnerships and business model
Major partnerships with Sanofi, Merck KGaA, and BMS provide significant non-dilutive funding and leverage platform capacity.
Partnership economics include up to $343 million per program with Sanofi, with $193 million pre-commercial and double-digit royalties.
The model allows internal focus on select oncology programs while external partners advance other assets, maximizing platform output.
Automation and proprietary data generation are expected to further enhance partnership productivity and enable new business models.
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