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Agents that accelerate clinical trials.
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.
Astraea provides an AI-native platform to automate and accelerate the full clinical trial lifecycle, from protocol design to FDA submission, with standards-aware, compliant workflows and enterprise-grade governance.
Astraea orchestrates specialized AI agents across the biometrics workflow to automate standards-native tasks (SDTM, ADaM, Define-XML, aCRF) with end-to-end traceability. It offers three-click submission-ready generation of SDTM/ADaM/Define-XML and TLFs, Pinnacle 21 validation baked in, HIPAA/GDPR/21 CFR Part 11–aligned compliance, and production-ready R/SAS code with cell-level parity. The platform supports end-to-end biometrics, automated evidence synthesis, embedded biostatistics teams, and an audit-ready execution layer that preserves human oversight and regulator-ready outputs.
Who it’s for: pharmaceutical companies, biotech firms, and contract research organizations seeking faster, compliant clinical trial automation and regulator-ready outputs
Backed by Y Combinator; claims 30–50% faster biometrics cycles; mentions enterprise/government-regulated compliance
prev Data Engineer @ Baylor College of Medicine | 4 Publications in Fetal Medicine | CS and Bio at 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.
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 automates end-to-end clinical trial data analysis and statistical programming, converting raw data to SDTM, ADaM, tables, figures, listings, and FDA-ready outputs for studies that normally require months and teams of 5-10 people.
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Full stack AI Agents accelerating Biopharma R&D
AI-native CRO for clinical trial operations
