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Astraea

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Agents that accelerate clinical trials.

Spring 2026Founded 20262 peopleSan Francisco, CA, USA
AI insightcan contain mistakes
Clinical Trial Data AutomationSaaSPharma sponsors and clinical research organizationsMedium competition
Moat
CDISC and FDA-compliant automation creates defensibility; audit trail and review workflows build switching costs.
Key risk
Pharma building internal AI; regulatory scrutiny on AI-generated data could slow adoption.
Why now
Clinical trial timelines under pressure; AI automation of SDTM and ADaM reduces months of manual work.
Competitors
Veeda, Medidata, In-house pharma data teams

About

Astraea automates clinical trial biometrics from raw study inputs to FDA-ready outputs. The platform handles data normalization, CDISC mapping, SDTM, ADaM, TFLs, QC, and revision workflows in one auditable system, helping Phase II/III sponsors reduce months of manual programming and data management into automated, reviewable execution.

Founders ยท 2

Sanmay Sarada
Sanmay SaradaFounder
Stanford๐ŸŽ“ Baylor College

prev Data Engineer @ Baylor College of Medicine | 4 Publications in Fetal Medicine | CS and Bio at Stanford

Joshua Wang
Joshua WangFounder
Stanford

Previous undergraduate at Stanford studying CS and Math. Top 250 united states (USAMO) Qualifier, USACO Platinum, first intern at Salient (W23) developing enterprise systems.

Launch

Launched on Y Combinator ยท May 2026
View launch post โ†—

Astraea is an agentic platform that automates clinical trial data analysis and statistical programming, from raw study data to CDISC-compliant datasets, TFLs, and FDA-ready outputs.

Astraea builds an AI-native platform that automates the end-to-end clinical trial biometrics pipeline, from raw data and protocol to CDISC-compliant datasets, analysis-ready variables, SAPs, and regulatory outputs. It targets oncology and rare disease studies, aiming to reduce multi-month manual work and enable submission-ready results with humans in the loop for review.

B2BArtificial IntelligenceSaaSHealth Tech

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