patent-intelligence

Search global patents across WIPO, EPO, USPTO, CNIPA, JPO, KIPO and other authorities, together with scientific literature from PubMed, arXiv, Nature, Science and other major sources using natural-language, semantic, keyword and structured search.

Prototype: An end-to-end learning project demonstrating a multi-agent MCP RAG pipeline that analyzes existing patents and suggests how to refine ideas to make them novel and potentially patentable.

AI-powered patent intelligence for semantic search, claim analysis, prior-art discovery, multilingual claim understanding, and evidence-grounded research.

Detect potential patentable technical inventions in Git diffs, rank prior art, and produce attorney-reviewable claim drafts in CI.

Patent intelligence for AI agents — patent search, USPTO data, patent landscape & pgvector prior-art search. MCP + x402.

PatentLLM generates R&D-focused patent intelligence reports from patent PDFs using section-aware parsing, embedding retrieval, local LLMs, claim-bank grounding, and citation-alignment audits.