Ambercite vs Stiltn

Ambercite is a web and API platform for finding patents related to one or more starting patents. Ambercite Ai uses deep-learning and network algorithms to score and rank similar patents from a database described as containing over 106 million patents and 175 million citations. AmberScope maps and clusters similar or important patents that cite one another. The listed applications include prior-art searching, licensing, instant patent landscaping and portfolio benchmarking. Users can run it alongside existing patent-search databases or as a standalone tool. An API is available to patent offices and non-competing industry players. The maker identifies corporations, patent examination offices, IP firms, analysts and searchers as users. AmberScope is also aimed at R&D teams and business owners who are unfamiliar with Boolean parameters or technical class codes. A 21-day trial provides both products without a card or payment and allows 20 searches. Trial searches accept up to three patents, show up to 25 results, obscure five more randomly, and cannot be exported to Excel. Paid subscriptions are annual, with pricing based on organization details.

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.