Cypris is an AI-powered R&D intelligence and knowledge management platform that gives technical and IP professionals unified access to over 500 million data points spanning patents, scientific literature, grants, and market intelligence sources. Founded in 2021 and headquartered in New York City, Cypris serves customers ranging from Fortune 100 companies like Johnson & Johnson, Berkshire Hathaway, and Philip Morris International to government agencies including NASA, Department of Energy, and the Department of Defense. The platform consolidates fragmented data sources into a single interface so R&D and IP teams can stop switching between disconnected tools and start connecting insights across datasets. At the core of the platform is the Cypris Ontology, a proprietary knowledge architecture that teaches the AI the domain-specific nuances of IP and scientific research. This layer understands how technical documents are structured, from patent claim scope to full-text chemical reaction data to citation relationships across publications, enabling semantic search that surfaces relevant results even when terminology differs across sources.
Because Cypris is model-agnostic and continuously updates its ontology, R&D teams always get the most out of the latest large language models applied to authoritative, verified data, with every AI output grounded in source citations to ensure the accuracy required for multi-million dollar innovation decisions. Beyond search and analysis, Cypris is building the unified intelligence layer for corporate Tech Scouting and R&D. The platform’s Projects feature enables teams to capture institutional knowledge alongside external intelligence, solving the tribal knowledge problem where critical research insights are lost in emails, slide decks, and departing employees. With AI-generated monitoring reports, cross-dataset competitive analysis, and expanding integrations into ELNs, enterprise tools, and platforms like Copilot, Cypris supports the full innovation lifecycle from technology scouting through commercialization, giving customers not just data but a synthesized, collaborative research environment that compounds in value over time.