Astraea • Active • 2 employees • San FranciscoAstraea is an AI-native biometrics platform for clinical trials. We automate the data management, statistical programming, and clinical data analysis workflows that take Phase II and III studies from raw study inputs to auditable, FDA-ready outputs. Instead of relying on fragmented legacy systems, manual handoffs, and large programming teams, Astraea gives sponsors a single platform to move from source data through standards generation, analysis datasets, tables/listings/figures, and final reporting with human oversight built in.
Our platform is designed for the parts of clinical development that are still painfully manual today: raw data ingestion, data normalization, CDISC mapping, SDTM generation, ADaM transformation, TFL production, QC cycles, and revision workflows. We unify these steps in one system so teams can track the entire data analysis pipeline from a single interface, with full visibility, version control, auditability, and traceability at every stage.
In practice, Astraea helps sponsors and biometrics teams replace months of repetitive expert work with automated, reviewable execution. Highly trained statisticians, programmers, and data managers should not be spending so much time stitching together datasets, formatting outputs, resolving handoff issues, and repeating the same cleanup and QC loops across disconnected tools. Astraea keeps experts in control of the critical decisions while dramatically reducing the operational burden around them.
We are starting with the workflows that matter most in trial analysis and reporting: SDTM generation, ADaM generation, statistical programming workflows, TFL generation, and the QC and revision cycles needed to get outputs ready for delivery. Over time, Astraea is building toward a full end-to-end system for modern clinical trial data execution in regulated environments.