Owkin

Owkin is an agentic AI biotechnology company that bridges the gap between complex human biology and clinical drug development. By deploying advanced artificial intelligence systems across a global network of academic medical centers and research institutions, the platform decodes the underlying mechanisms of complex diseases to connect research directly to patient care. Rather than operating on isolated clinical variables, Owkin's technology models multi-layered biological systems to discover novel therapeutic targets, optimize patient subgrouping, and build precision diagnostic tools that ensure individual patients are matched with the most effective treatments.

K Pro is Owkin’s flagship agentic AI platform designed to act as an autonomous, intelligent assistant for biopharmaceutical research and strategic pipeline decision-making. Operating as an "AI Scientist," K Pro orchestrates a massive suite of computational tools, deep machine learning algorithms, and real-world multiomics data to independently formulate, test, and validate biological hypotheses. Used extensively by global pharmaceutical leaders like Sanofi and AstraZeneca, K Pro helps R&D teams evaluate disease causal mechanisms, analyze competitive market intelligence, and run rapid predictive modeling scenarios to cut years off traditional discovery timelines.

The MOSAIC initiative is a historic, large-scale spatial omics consortium led by Owkin alongside top global academic and technology partners. Designed to decode the tumor microenvironment with unprecedented precision, the project is constructing the world's largest multiomics digital atlas by capturing spatial transcriptomics from 7,000 patient samples across 7 distinct cancer indications. By combining spatial single-cell technologies with standard histology (H&E) imaging and extensive longitudinal clinical tracking, the AI-ready MOSAIC dataset allows researchers to discover entirely new spatial biomarkers, map obscure treatment resistance mechanisms, and build superior predictive oncology workflows.

To overcome the data-sharing bottlenecks caused by strict medical data regulations, Owkin pioneered the use of federated learning in healthcare. This decentralized machine learning framework allows Owkin's AI algorithms to travel securely to multi-site hospital databases around the world, training on highly localized patient files without ever duplicating, moving, or extracting the raw medical records from their source servers. By keeping patient identities and proprietary institutional data fully siloed and protected within local firewalls, the platform guarantees absolute compliance with global privacy mandates like GDPR and HIPAA while training models on vast, diverse datasets.