Amass is an AI application platform for scientific intelligence. Scientific knowledge is scattered, siloed, slow and expensive to search. Amass integrates across this fragmented landscape; Patents, papers, regulatory filings, proprietary documents and data and applies AI to create a structured, cross-linked, and queryable knowledge graph. We build our own domain-specific embedding models to capture subtle scientific signals. We go beyond simple retrieval and enable users to triangulate across multiple sources and trace the evidence behind any output. Who it’s for: biotech and pharma R&D, food-bio and synbio, research institutetes, hospitals, and life-science investors/BD. Why it wins: higher recall across sources, transparent reasoning, and end-to-end automated workflows that turn messy data into decisions and team actions -> quickly and safely. ‍