Ambercite vs PatentOptimizer

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.

PatentOptimizer has no write-up on Specifiction yet; its figures are above.