Olira — Patient data infrastructure for clinical AI
The Patient Context Layer For Clinical AI.
Olira gives your agents the complete, continuously updated patient state they need to reason safely. Stop building data pipelines. Start shipping clinical AI.
Build agents and workflows. Not data pipelines.
Every team building clinical AI hits the same wall. Patient data is fragmented across EMRs, wearables, labs, and check-ins. It arrives at different latencies, in different formats, with no shared representation. Before you can ship, you are months deep in custom pipelines, and your agents are still reasoning on snapshots.
Olira is the layer that handles this. We compile heterogeneous patient data into structured, continuously updated patient state, with full provenance and source traceability built in. Connect once. Every agent on your platform gets the context it needs to act.
Team
- Patrick Emedom-Nnamdi
CEO & Founder
PhD, Biostatistics, Harvard University
Formerly @ DeepMind
LinkedIn profile - Georgios Efstathiadis
Founding ML Engineer
MS, Health Data Science, Harvard University
Formerly @ Brooklyn Health
LinkedIn profile - Jorge Rincon Arias
Founding Software Engineer
MBA, University of Buenos Aires
Formerly @ EVC
LinkedIn profile - Liv Beruti
Founding Product Designer
BFA, Communication Design, Parsons
LinkedIn profile - Gaurav Thakur
Founding Head of Growth
MBA, Columbia Business School
Formerly @ Oscar Health
LinkedIn profile - Darya Ameri
Clinical Product Manager
BSN, University of Pennsylvania
LinkedIn profile
Advisors
- Toby Eduardo Redshaw
Global Top 50 CIO, InformationWeek
Founder, Verus Advisory
LinkedIn profile - Christopher Potts
Professor of Linguistics & CS, Stanford
Co-Founder & Chief Scientist, Bigspin AI
LinkedIn profile - Dr. Mark Fleming
MD, Medical Oncology
Chair, US Oncology Network Policy Board
LinkedIn profile
Deep Expertise In The Hardest Parts Of Clinical Data.
Our team has spent years working on the technical problems that make clinical AI hard: multimodal data fusion, temporally dense sensor streams, missing data in real-world health records, and the statistical modeling that turns noisy signals into reliable context. We built Olira so teams can scale clinical agents without re-building the data infrastructure to support them.
Backed By Leaders In AI And Healthcare.
Advised and funded by researchers, clinicians, and investors building at the frontier of AI and clinical care.
Jeff Dean
Chief Scientist, Google DeepMind & Google Research
Jonathan Frankle
Chief AI Scientist at DataBricks