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Stilta

Agentic AI for high-stakes patent work

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Stilta is an agentic AI platform for patent work, covering enforcement, defense, and analysis. It addresses the evidence-gathering burden in patent matters by searching patents, scientific literature, file wrappers, and archived web content in parallel, then producing source-cited outputs such as claim charts, freedom-to-operate opinions, and infringement reads. Agents handle the search and evidence mapping while attorneys review and make the calls.

The platform includes modules for avoiding infringement, defending against claims, and finding infringement. Domain agents reason across claim elements and map them to supporting sources, with citations that link to highlighted passages in the original documents. The workflow runs in four steps: defining the objective, running agent searches, mapping evidence, and handing off a defensible output. Security features include per-tenant isolation, no AI training on customer data, US or EU data residency, SAML SSO, audit logs, encryption, and compliance with SOC 2 Type II, ISO 27001, GDPR, and the EU AI Act.

Stilta is built for IP attorneys, patent litigation teams, and in-house IP functions. The pages do not specify a free plan, trial, or pricing model; prospective users are directed to book a demo.

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