Patlytics

Patlytics develops an AI-powered patent platform intended to cover the workflows of patent practitioners end to end. Its offering is organized into modules across three areas: patent analysis and litigation strategy (infringement, invalidity, freedom to operate, standard essential patents, portfolio analysis, patent and non-patent-literature search, and claim construction); drafting, prosecution and invention disclosures (patent drafting, office action responses, and invention disclosure capture); and Patlytics Agent, a cross-cutting AI agent.

In the analysis modules, the system crawls public sources for evidence of use and produces citation-backed claim charts built on auto-generated claim constructions, with users able to supply their own evidence. Invalidity work covers novelty and inventive-step analysis, contention-style charts drawing disclosures from multiple references, obviousness combinations with motivations to combine, and written description and enablement checks. Freedom-to-operate analysis starts from product materials and screens large sets of patents and applications for launch risk. Standard essential patent analysis produces essentiality charts against indexed standards materials for cellular, Wi-Fi, video and audio coding, and memory standards families. Portfolio analysis maps and ranks hundreds of assets against a field, and semantic search spans patents and non-patent literature with date-range bounding, feeding results into the invalidity, invention disclosure and drafting modules. Claim construction is prosecution-history aware and can be generated manually or refined with the agent.

The drafting side generates complete draft applications from invention disclosures using custom templates and prompts tailored per jurisdiction and technology, with agentic editing that users approve line by line. Office action tools analyze rejections, objections and cited art, propose response strategies from the record, and generate responses. Invention disclosure tools let R&D staff self-serve structured disclosure forms from inputs such as slides, transcripts and abstracts, then export them for review or prior art search.

Business model

Patlytics sells software to organizations that perform patent work, positioning the platform around reduced cycle times, increased margins and IP outcomes; case study framing emphasizes cost saved per report and per application and time saved per project.

Traction

The company publishes customer case-study figures: Asahi Kasei reported cutting investigations from months to hours with a stated minimum saving of $1,000-$5,000 per detection report; an Am Law 100 practice group ran a 120-patent portfolio project in 20 hours rather than 100, an 80% time reduction and roughly $38,000 in added margin; and a publicly traded biotech estimated $5,000-$7,500 saved per application, with its Chief IP Counsel describing generated claim sets as better in quality. Rivian's legal team is cited as using the platform to turn raw inputs into review-ready drafts.

Latest developments

Patlytics announced a $40 million Series B to expand its AI platform for IP work, and introduced Patlytics Agent, an AI reasoning layer spanning its patent workflows and powered by more than 150 skills, including within the portfolio analysis module.