evidence—supporting everything from early R&D to market access and health technology assessments (HTA). Built by a team of machine learning researchers and supported by over €1.1 million in non-dilutive public funding (EXIST Forschungstransfer & StartupTransfer.NRW), Puraite automates critical components of the evidence pipeline: title and abstract screening, full-text review, and structured data extraction. Unlike black-box models, Puraite’s explainable AI engine offers full traceability and confidence scores—making it suitable for regulatory-grade use cases. Pharmaceutical companies and CROs use Puraite to drastically reduce the time and cost of generating robust, reproducible evidence for drug development, global value dossiers (GVDs), and real-world evidence (RWE) submissions. Our hybrid human-in-the-loop workflow ensures scientific rigor while freeing up expert resources to focus on high-value tasks.