Ambercite

Ambercite is an Australian AI-powered patent search tool founded in 2010 by Doris Spielthenner in Sydney. Uses citation network analytics and deep learning to find patents missed by traditional keyword-based searches — analysing how patents are interconnected through citation networks rather than relying on text matching. Access to 175+ million patent publications; links with Espacenet and Google Patents databases. Two products: Ambercite Ai (finds/scores/ranks similar patents) and AmberScope (patent landscape visualization). Designed for ease of use — described as requiring ‘no search experience’ (thePatentSearcher). Suitable for solo IP practitioners and teams alike (BoldIP). Listed on WIPO Inspire. Validated by Griffith Hack (major Australian IP law firm) joint patent landscape reports. Used in academic patent search research (Tomková 2026). Nintendo vs iLife case study available. Ranked #9 in scmgalaxy.com Top 10 Patent Search Tools. Included in GreyB’s Top 13 AI Patent Search Databases for 2026, where researchers praised its ‘reliability and accuracy.’ 15-year-old bootstrapped company — suggests sustainable niche business. Unfunded, 5-person team, 204 LinkedIn followers. Positioned as complementary to existing patent search tools, not replacement. Key use cases: prior art search, patent validation, patent landscape analysis, licensing opportunity identification, and patent acquisition due diligence.

Company Info

• Founded: 2010
• Team size: 1-10 employees
• HQ: Australia

What We Haven’t Verified

This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.