Amass

What We’re Building Scientific knowledge is scattered, siloed, and slow 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 — enabling users to triangulate across multiple sources and trace the evidence behind any output. We’re not just summarizing documents — we’re helping teams reason with them. The result: faster insight cycles, smarter pipelines, and more effective research-to-decision handoffs