Owkin is building competitive-intelligence AI agents on K Pro inside AstraZeneca's infrastructure under a three-year licence.
AstraZeneca needed timely, data-rich answers to complex competitive intelligence questions with less manual analysis, within its governance and security standards. Owkin leads end-to-end development of agents on K Pro integrated into AstraZeneca's IT infrastructure and decision workflows. No agent performance metrics are given; the page cites the earlier gBRCA model ruling out about 40% of patients at 93% sensitivity.
Owkin is a French AI company building biology models and the K Pro AI Scientist, working with pharma on drug positioning, trial design and pathology diagnostics.
This sits in the Ship stage of the AI use-case lifecycle: Named examples from the vendors pharma teams use to get an AI system live inside a real, regulated production workflow — validation, CRM, safety and clinical systems of record.
Published by Owkin on its own site — read the original case study on owkin.com ↗
Related use cases
- 01Boehringer Ingelheim used Owkin's K Pro multi-omic reports to prioritize targets and find spatially informed patient-selection biomarkers.
- 02Epkin used Owkin's K Pro to map prostaglandin biology and design the Phase 1 strategy for OKN4395.
- 03An oncology pharma used Owkin's K Pro and MOSAIC data to triage bispecific ADC candidates in silico.
- 04Owkin's K Pro Autopilot agent proposed a KRAS G12D drug combination that widened eligible patients from about 10% to 60%.
- 05Cleveland Clinic Abu Dhabi cut cohort assembly from days or weeks to seconds with Owkin's data transformation AI and K Pro.
- 06Owkin's MesoNet model predicts mesothelioma survival from pathology images and could shrink Phase 3 trial sizes.