Phases

Automated clinical trial oversight and execution

Y CombinatorSummer 2025ActiveHealthcareHealthcare ITHealthcare ITAIConversational AI

What they do

Problem

Clinical trials suffer from operational inefficiencies, poor data quality, and audit-readiness gaps due to undetected risks and slow issue resolution.

Solution

Phases uses autonomous AI agents to monitor clinical trial operations, detect risks, and take corrective actions to improve performance, data quality, and compliance readiness.

Who it's for

Clinical trial sponsors, CROs, and clinical operations teams running and overseeing trials.

Founders

James Wall

Co-founder & CEO

Accelerating & automating clinical trials with AI Agents. - Designed and deployed AI data science agents to Fortune 100 companies and pharma companies such as J&J, Syneos Health. - Built the business case that led to Unilever’s €8bn ice cream division spin-off.

Anton Zaliznyi

Co-founder & Chief AI Officer

Accelerating & automating clinical trials with AI Agents. Ex SWE at Palantir, AI Researcher at University of Toronto. - Streamlined developer and deployment experiences at Palantir. - Co-authored peer-reviewed deep learning research on real-time surgical microrobot pose estimation that outperforms SOTA (Accepted to RA-L / ICRA). - Built autonomous reconnaissance drones at a defense startup. - Developed advanced distributed processing systems at Avid.

Jonathan van Wersch

Co-founder & CTO

Accelerating & automating clinical trials with AI agents. - Previously a software engineer at Meta, where I worked on integrating machine learning into the mobile ads manager app. - Before Meta, I was at Improbable, a UK unicorn, where I helped scale the web platform team from 3 to 20 engineers. - I hold a bachelors and masters in mechanical engineering from the University of Bath, where I was project manager and engineering lead for the university's rocket team.