Cypris is an innovation intelligence system for R&D and intellectual property teams. It combines a fleet of specialized AI agents with a data layer covering global patents, scientific papers, chemical compounds, market news and regulatory material. Agents handle technology scouting, literature review, competitive intelligence, prior art searches, regulatory research and white space analysis, and they keep project context so the work builds on itself instead of starting over each time.
Corporate R&D groups and IP teams are the main audience: scientists, innovation managers, patent counsel and competitive intelligence analysts who spend weeks searching several databases by hand. Cypris targets organizations that need research to run at larger volume without adding headcount, and that care about data security. The company is US-hosted, SOC 2 Type II certified and states that tenant isolation and end-to-end encryption are built in. Access starts with a demo.
Concrete uses include mapping a technology area before a development stage gate, reviewing prior art ahead of a filing, and tracking competitor patents, partnerships and funding news over time. A chemistry team can search compounds by structure, synonym or trade name, then cross-check findings against papers and patents in one place. An IP group can set agents to monitor what changes in a technology area and produce deliverables when something new appears. Internal documents can be uploaded so agents combine institutional knowledge with external intelligence. The data layer includes 198 million patent documents and more than 341 million papers.
