Augura is an AI-powered platform that transforms healthcare data into rigorous, publishable causal evidence in days rather than months. The system automates data preparation, runs expert-supervised causal models, and produces audit-ready outputs for FDA and EU submissions, with each study compounding knowledge for the next. It is designed for life sciences teams facing regulatory, payer, and commercial evidence demands.
Funding
Funding not disclosed
Founders
Product
Problem
Regulatory, commercial, and payer demand for evidence in healthcare keeps rising, while the supply of qualified biostatisticians and outcomes researchers is structurally capped. Every study relies on a handful of specialists, creating a months-long knowledge bottleneck that cannot be solved by hiring alone.
Solution
Augura is a fully agentic platform that turns healthcare data into rigorous, publishable evidence at machine speed. It automates data preparation from the first upload, maps variables to a standardized evidence model, and collapses the sequential handoff between methodologist, analyst, statistician, and writer into one connected system. The platform runs expert-supervised causal inference models, producing traceable and explainable results that meet the standard of a very good statistician. What traditionally takes 12–18 months is delivered in days or weeks, with every study feeding a growing base of causal relationships that makes the next analysis smarter.
Target Audience
Primary customers are medical device, pharmaceutical, and biotech teams generating post-market clinical evidence, health economics and outcomes research, and reimbursement dossiers for regulators, payers, and commercial stakeholders.
Features
- Automated, compliant data preparation with standardized variable mapping from the first upload
- Causal inference and outcomes research across full patient populations, not just correlations
- Fully traceable audit trail with every transformation and causal model assumption logged
- IRB-ready protocols and peer-review-ready publications with complete researcher attribution
- PMCF-grade evidence designed to hold up under FDA and EU MDR review
- Health-economics models and reimbursement dossiers grounded in causal analysis for HTA submissions
- Compounding knowledge base where each study improves the accuracy of subsequent analyses