Amplified AI is a semantic patent search and knowledge management platform that lets IP practitioners find prior art by meaning rather than Boolean keyword combinations. Instead of constructing complex queries with CPC codes, users describe an invention in natural language and get AI-ranked results by conceptual relevance across 140M+ global patents. The AI relevance model improves with user feedback as results are marked relevant or irrelevant. Founded 2017 by Christopher Grainger and Samuel Davis. Bootstrapped, ~7 employees, ~$770K revenue (Latka). Listed on WIPO Inspire and Stanford CodeX TechIndex. Named among ‘Top 5 AI Patent Search Platforms’ by Lexology (Jul 2025) and Patseer. Cited in OECD report on AI developments (2020), SMU law review on USPTO/AI (2025), and academic papers on patent search (ACM, arXiv). Founder actively posts in r/patentlaw and r/Patents. Pricing: $500/month for teams with unlimited searches (Tekpon); enterprise $15K-$50K/year (PatSnap comparison). Self-service free trial, no credit card required. Vendor claims 5x faster search and up to 85% cost savings (not independently validated). Narrowly focused on patent search — no relevance to general litigation, corporate, family, or other practice areas.
Company Info
- Founded: 2016
- Team size: 1-10 employees
- Funding: $2.4M
- HQ: United States
- Sector: IP
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