
Agentic AI for high-stakes patent work.
By Tanmay Verma, Founder · Last verified 03 Jul 2026
In short
Stilta — Agentic AI for high-stakes patent work. Best for Patent attorneys needing defensible prior art and infringement analyses quickly, IP litigation teams preparing for PTAB IPR proceedings, Corporate IP departments running portfolio-wide FTO and clearance checks. Contact Sales pricing.
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For patent attorneys who need defensible, source-cited analyses at scale, Stilta delivers. The 100% recall on PTAB IPR benchmarks and integration of multiple data sources make it a serious tool for high-stakes work. But it's contact-sales only, so not for individuals or tight budgets.
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Last verified: July 2026
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
How likely is Stilta to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Stilta is an agentic AI platform designed for patent attorneys and IP teams to run invalidity, infringement, and freedom-to-operate (FTO) analyses in minutes. It searches across 180M+ patents from 100+ jurisdictions, scientific literature, file wrappers, and archived web pages, producing defensible, source-cited results that attorneys can audit and adjust. The platform uses domain-specific AI agents that reason through claim elements, map evidence to sources, and deliver a first draft in about 17 minutes, dramatically reducing the time spent on search and retrieval. Stilta is built for patent professionals who need high recall and accuracy, backed by a recent $10.5M seed round led by a16z. It promises to cut end-to-end analysis time by 90% while providing more evidence and higher recall than general LLMs, as demonstrated in a PTAB IPR benchmark where it achieved 100% prior-art recall vs ~18% for general LLMs. The key differentiator is that attorneys remain in control — the AI handles grunt work, but legal judgment stays human.
Stilta fills a specific gap: high-recall prior art and infringement analysis for patent professionals who can't afford to miss a reference. The agentic approach — where domain agents reason through claim elements and map evidence — feels more targeted than generic LLMs like ChatGPT. In practice, the 17-minute first draft and 90% time reduction claims are compelling if you're a firm billing by the hour or a corporate IP team drowning in FTO checks. Where it bites: no publicly available pricing (contact sales only), so it's squarely for enterprise or large law firms. Individual inventors or small practices will likely find budget a barrier. Compared to tools like Google Patents or PatSnap, Stilta offers deeper integration of file wrappers and archived web, plus agent-driven analysis that mimics attorney workflow. The $10.5M a16z backing signals strong investor confidence, but the tool is still early-stage — expect iterative improvements. If you're a patent litigator facing an IPR or a corporate counsel running portfolio-wide clearance, Stilta is worth the demo. If you need a quick patent search for free, look elsewhere.
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