Edge
IP Management · Drafting
Structured AI patent drafting (Ingenia) for applications and invention disclosures.
Hands-on review pending
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IP intelligence platform specializing in standard-essential patent analytics, SEP licensing strategy, and technology standardization landscape analysis.
Hands-on review pending. Independent 5-dimension scores will appear here once our editorial team completes testing.
IP Management · Drafting
Structured AI patent drafting (Ingenia) for applications and invention disclosures.
Hands-on review pending
IP Management · Litigation & eDiscovery
Agentic AI for patent attorneys — prior art, claim charts, and office actions.
Hands-on review pending
IP Management · Drafting
Word-native AI patent assistant for drafting, prosecution, and portfolio work.
Hands-on review pending
IPlytics was founded in 2014 by Tim Pohlmann and colleagues from TU Berlin and Fraunhofer FOKUS, emerging from academic research on the statistical analysis of standard essential patents (SEPs). The Berlin-based company raised several million euros in financing backed by HTGF (High-Tech Gründerfonds) before being acquired by RELX Group (owner of LexisNexis) in November 2022, cementing its position within a global legal and IP data ecosystem.
The IPlytics platform connects patent data, SEP declarations, technical standards contributions, essentiality assessments, and litigation records into a unified intelligence environment. Key capabilities include the Semantic Essentiality Score — an NLP-based algorithm that scores the likelihood of patent claim-to-standard-section mapping — portfolio benchmarking against declared SEP pools, licensing negotiation support, and standards contribution tracking across major standards bodies (3GPP, IEEE, ETSI, and others).
IPlytics is widely regarded as the gold standard for SEP analytics, used by licensing counsel, regulatory economists, and antitrust practitioners working on FRAND rate-setting, patent pools, and injunction proceedings. Its combination of structured SEP declaration data with AI-driven essentiality prediction is unique in the market and is regularly cited in expert reports and court proceedings.
Best fit: In-house IP counsel and licensing teams at technology companies involved in standards-essential patent licensing, law firms advising on SEP disputes and FRAND litigation, and regulatory and competition economists analyzing wireless, video coding, or IoT patent pools.
Hands-on review pending.