What problem does Patlytics solve for patent professionals?
Patlytics is an AI-driven platform that optimizes patent creation, protection, and litigation. It aims to reduce cycle times, increase margins, and deliver winning IP outcomes by automating and augmenting patent analysis and research tasks. The platform claims to cut investigations from months to hours, saving a minimum of $1,000–$5,000 per detection report for customers like Asahi Kasei.
Who is the target audience for Patlytics?
The platform is built for IP professionals and law practices, as evidenced by testimonials from an Am Law 100 practice group and a client like Asahi Kasei. It serves teams needing to run large-scale patent projects, such as mapping hundreds of assets or conducting multi-product infringement investigations.
What key features and modules does Patlytics offer?
Patlytics offers modules for Infringement, Invalidity, Freedom To Operate (FTO), SEP Portfolio Analysis, and Patent & NPL Search. Key features include citation-backed claim charts, auto-generated claim construction, search across 130M+ patents and 300M+ literature, agent-powered portfolio analysis, and the ability to upload your own evidence or use crawled data.
How does Patlytics improve efficiency for its users?
Patlytics reduces manual research time through AI augmentation. For example, an Am Law 100 practice group completed a 120-patent project in 20 hours instead of 100, achieving an 80% time reduction and roughly $38,000 in added margin. It also cuts infringement investigations from months to hours.
What is Patlytics used for, and in what situations?
Patlytics is used for various patent-related workflows, including infringement analysis, invalidity analysis, freedom to operate (FTO) searches, standard essential patent (SEP) analysis, portfolio analysis, and semantic search across patents and non-patent literature (NPL). It is designed for situations requiring prior art searches, claim construction, infringement crawl for evidence of use, and ranking hundreds of patent assets.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.