Amass is a Copenhagen-based company providing an AI-driven scientific intelligence platform and API for the life sciences. It unifies hundreds of millions of research documents, patents, and trial data to provide traceable, cited insights.
Amass provides an AI-powered scientific intelligence platform and data API specifically designed for life science research and business development teams. The platform functions as a unified intelligence layer, integrating and synthesizing over 500 million scientific records, including biomedical literature, patent filings, clinical trials, regulatory documents, and live web intelligence. By utilizing a specialized architecture called Amass Core, the system allows users to execute natural-language queries that retrieve and synthesize evidence across these fragmented data sources. A defining feature of the technology is its emphasis on traceability; every output, answer, and workflow is linked directly back to its underlying primary source, such as a specific DOI, patent number, or clinical trial identifier, which helps mitigate hallucinations and ensures outputs are reliable for professional decision-making.
The platform addresses the critical challenge of fragmented evidence that often slows down R&D, due diligence, and competitive intelligence workflows in biotech and pharma. By offering capabilities for automated literature reviews, patent landscape mapping, pipeline monitoring, and target validation, Amass helps researchers and investors accelerate discovery and improve the quality of their scientific assessments. The company offers these tools through an application interface, agentic workflows, and a developer-focused API, enabling organizations to integrate scientific intelligence directly into their own research environments. Used by institutions and life science companies, the platform is built to support evidence-heavy tasks where accuracy and cited documentation are required for committee-level review and strategic planning.