FindIP vs Stiltn

FindIP provides patent search through a browser playground and a REST API for use in other services. It searches published patents from the US, China, Japan, Korea, and Europe; full-text coverage begins in 2001, except China, where it begins in 2010. Semantic search matches text by meaning, while drawing search finds visually similar patent illustrations. Sequence search covers similar DNA, RNA, or protein sequences. Image and sequence results can be reranked by topic. Queries may be written in English, Korean, Japanese, Chinese, or German across all five jurisdictions. FindIP says each result is a publication in its database that can be checked by publication number. Its MCP connection supports Claude Desktop and Web and ChatGPT during beta. The Free plan costs nothing and includes 30 search credits and all APIs. Basic costs $45 a month, billed excluding tax, and includes 300 monthly credits. Text searches use one credit; image search, sequence search, and trend analysis use two. The listed rate limit is 60 requests per minute on Free, Basic, and Pro; Enterprise has a custom limit.

Stiltn is an AI platform for patent practitioners, with tools for search, drafting, competitor monitoring, and portfolio assessment. Its semantic search covers more than 150 million patents and provides explanations and claim mapping. Drafting support includes invention disclosures, patent applications, claim generation, and office action responses. Monitoring follows patent filings and application changes, then classifies alerts by relevance. Portfolio analysis considers legal defensibility, economic value, and competitor activity to make recommendations. Stiltn says it covers more than 50 patent offices, including USPTO, EPO, WIPO, JPO, KIPO, and CNIPA. Bulk imports are available from PatSnap, Anaqua, CPA Global, and standard PAIR or Espacenet exports. Deployment options are cloud, private cloud, or on-premises, with EU or US processing and storage choices and configurable retention controls. The company says customer data is not used to train models, and AI outputs link to source documents. Evaluation access costs nothing and includes full platform access, dedicated onboarding, and custom configuration; pricing beyond evaluation is on request.