Stilta
Agentic AI for high-stakes patent invalidity, infringement, and FTO analyses in minutes.
If you're a patent attorney or IP team that needs defensible, high-recall prior art and infringement analyses, Stilta is a serious contender—100% recall on PTAB IPR benchmarks and source-cited, element-by-element claim mapping are standout. The main drawbacks are lack of public pricing and the need for attorney oversight. For broader IP management, tools like Anaqua or LexisNexis PatentAdvisor cover more ground, but they don't offer Stilta's agentic, source-cited drafting. Worth a demo for any serious IP team.
Verified 4d ago · liveness 45/100 · cite: rightaichoice.com/tools/stilta
- Patent attorneys needing defensible prior art and infringement analyses
- IP litigation teams preparing for PTAB IPR proceedings
- Corporate IP departments running portfolio-wide FTO and clearance checks
- Patent portfolio managers analyzing thousands of patents at once
- Individual inventors or small entities on a tight budget (contact-sales only)
- Non-legal professionals needing quick, casual patent searches
- Users who want a fully automated solution with no human oversight
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Skip Stilta if you're a solo inventor or small entity needing a low-cost, self-service search tool, or if you expect a fully automated analysis without attorney oversight.
Contact-based pricing means you'll need to schedule a demo to get a quote; there's no public price list to compare against.
Stilta's contact-based pricing reflects an enterprise focus. While general LLMs like ChatGPT cost $20/mo, Stilta likely costs a premium for its specialized patent capabilities. It's positioned for law firms and corporate IP teams that need defensible outputs; cheaper alternatives like Google Patents are free but lack agentic analysis and source-cited evidence.
In short
Stilta — Agentic AI for high-stakes patent invalidity, infringement, and FTO analyses in minutes. Best for Patent attorneys needing defensible prior art and infringement analyses, IP litigation teams preparing for PTAB IPR proceedings, Corporate IP departments running portfolio-wide FTO and clearance checks. Contact Sales pricing.
What people actually say about Stilta — is it worth it?
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.
- +Cuts analysis time from weeks to ~17 minutes per case.
- +Achieves 90% recall on PTAB IPR benchmarks, beating GPT-4.
- +Searches 180M+ patents and scientific literature automatically.
- +Element-by-element claim mapping with direct source citations.
- +Attorney-led development ensures domain-specific usability.
- −No public pricing — may be too expensive for small firms.
- −Zero real user reviews on major community platforms yet.
- −No integrations with existing IP docketing systems.
- −Precision at scale (false positives in portfolio mode) unproven.
- −Requires contact for demo, no self-serve trial.
- • No public pricing — may require annual contract or minimum user seats.
- • Potential per-analysis fees for high-volume usage.
Viability Score
How well maintained and how widely used is Stilta? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- Invalidity analysis across 180M+ patents and 100+ jurisdictions
- Infringement analysis with element-by-element claim mapping
- Freedom-to-operate analysis with feature decomposition and risk scoring
- Portfolio mode for analyzing thousands of patents at once
- Automated search of scientific literature, file wrappers, and Internet Archive since 1995
- Source-cited evidence with one-click links to highlighted passages
- Domain agents that read full-text patents, not just abstracts
- Steerable prior art search—attorneys can direct the search
- Live patent index refreshed daily
- Defensible first answer in ~17 minutes
- 100% prior-art recall on PTAB IPR benchmarks
- Per-tenant isolation and zero AI training on user data
- SOC 2 Type II and ISO 27001 compliant
- US or EU data residency options
- SAML SSO, audit logs, encryption at rest and in transit
About Stilta
Stilta is an agentic AI platform built for patent attorneys and IP teams that need defensible, source-cited analyses under high-stakes pressure. It automates the heavy lifting of prior art search, claim mapping, and freedom-to-operate (FTO) assessments, letting attorneys focus on judgment instead of grunt work. The platform taps a live index of over 180 million patents across 100+ jurisdictions, plus scientific literature, file wrappers, and archived web pages going back to 1995. Its domain agents read full-text patents—not just abstracts—and return word-for-word evidence with one-click links to the highlighted passage in the original source, eliminating hallucination risk. In a recent PTAB IPR benchmark, Stilta achieved 100% prior-art recall versus ~18% for general LLMs, and a defensible first answer typically arrives in about 17 minutes. The system supports three featured modules: Infringement Analysis (element-by-element product feature mapping), Invalidity Analysis (steerable prior art searches that you can direct, not a flat list), and Freedom to Operate (feature decomposition with risk scoring per feature). It runs in single-patent or portfolio mode, scaling from one matter to thousands of assets. Attorneys lead, agents amplify: you define the objective, agents run the search across all sources, evidence gets mapped to every claim element, and you stay in control with auditable, defensible claim charts, FTO opinions, or infringement reads. Stilta is built for enterprise IP teams—it offers zero AI training on your data, per-tenant isolation, US or EU data residency, SAML SSO, audit logs, SOC 2 Type II, ISO 27001, and GDPR compliance. In May 2026, Stilta raised $10.5M in funding led by Andreessen Horowitz, with backing from Microsoft and Y Combinator, to accelerate product development and expand its IP team. Pricing is contact-based, with no public tier list. Compared to general LLMs like ChatGPT or Claude, Stilta is purpose-built for patent work, with domain-specific agents and source-cited outputs that hold up under scrutiny—ideal for litigation, portfolio management, and clearance work.
Behind the Verdict
Stilta is a purpose-built agentic AI platform for patent attorneys, distinguishing itself from general LLMs by focusing on defensibility and source-cited evidence. The three featured modules—Infringement, Invalidity, and FTO—cover the core high-stakes workflows in IP practice. The platform's ability to read full-text patents, not just abstracts, and search across 180M+ patents, scientific literature, file wrappers, and archived web back to 1995, gives it a deep data moat that generic tools can't match. The 100% prior-art recall on PTAB IPR benchmarks is a powerful testament to its domain-specific tuning, though it's important to note this is a benchmark result, not a guarantee of real-world performance. The ~17-minute median runtime to a first draft is a significant time-saver for attorneys, especially in time-sensitive litigation contexts. The platform's design philosophy—attorneys lead, agents amplify—is a double-edged sword: it ensures human oversight and auditability, but it also means you can't simply set it and forget it; you need to define objectives and review outputs. This is likely a positive for legal rigor, but it may be overkill for casual or low-stakes searches. The recent $10.5M funding round led by a16z, with backing from Microsoft and Y Combinator, signals strong market confidence and will likely fuel further product development and expansion. However, the lack of public pricing and absence of a free tier or trial may be a barrier for individual inventors or small firms. The platform is clearly enterprise-focused, with robust security and compliance features like SOC 2 Type II, ISO 27001, GDPR, and per-tenant isolation. If you're a patent attorney at a law firm or corporate IP department handling litigation, FTO, or portfolio management, Stilta could be a game-changer—but you'll need to get a demo and assess pricing against your budget. For casual or non-legal users, simpler tools like Google Patents or general LLMs might suffice. Overall, Stilta is a strong, credible option for serious IP work, with a clear edge in defensibility and recall.
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Real-world workflow fit
Concrete scenarios for the personas Stilta actually fits — and what changes day-one when you adopt it.
Receive an infringement letter and need to quickly assess prior art.
Outcome: Run an invalidity analysis in Stilta, steer the search to test specific hypotheses, and get a source-cited claim chart with one-click evidence links in about 17 minutes.
Need to generate competitor infringement reports across product lines on a quarterly basis.
Outcome: Use portfolio mode to analyze multiple patents, with agents mapping product features and evidence, delivering reports that keep the team steps ahead.
Preparing for a PTAB IPR proceeding with high stakes and tight deadlines.
Outcome: Leverage Stilta's benchmark-proven 100% recall to gather defensible evidence, element-by-element mapping, and source citations that hold up in proceedings.
Use Cases
- Run invalidity searches to defend against infringement letters.
- Analyze a competitor's product for patent infringement mapping.
- Assess freedom to operate before launching a new product.
- Audit a patent portfolio's strength using prior art from multiple sources.
- Prepare claim charts with source citations for PTAB proceedings.
- Perform portfolio-wide FTO clearance checks for a product line.
- Generate competitor infringement reports across teams, as done by KUKA.
Limitations
- Pricing is not publicly available; likely enterprise-focused.
- The platform requires attorneys to define objectives and audit outputs.
- No free tier or trial is visible.
- The tool does not replace human judgment; it augments it.
as of 2026-08-18
Verification history
We have re-verified Stilta 5 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Stilta's pricing actually pencils out — and where peers do it cheaper.
Stilta's contact-based pricing reflects an enterprise focus. While general LLMs like ChatGPT cost $20/mo, Stilta likely costs a premium for its specialized patent capabilities. It's positioned for law firms and corporate IP teams that need defensible outputs; cheaper alternatives like Google Patents are free but lack agentic analysis and source-cited evidence.
Setup time & first value
How long it actually takes to get something useful out of Stilta — broken out by persona, not the marketing-page minute.
No public self-serve setup; you'll need to book a demo. For enterprise teams, onboarding likely involves integration with existing IP management workflows, but given the platform's design, you can expect to run your first analysis within a day after credentials are provisioned.
Switching to or from Stilta
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual prior art search: you can import a patent or portfolio and run Stilta's agents to replace manual search and mapping.
- →From general LLMs: you can paste a patent or target and ask Stilta to structure the analysis, with source-cited outputs that general LLMs lack.
- ↗To Anaqua or LexisNexis PatentAdvisor: export claim charts or FTO reports for broader IP management integration.
- ↗To a general LLM: you can export Stilta's evidence and use it as a foundation for drafting, though you'll lose the source citations and recall benchmark.
Resources & Guides
Tutorials & Learning
Official links
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Common stack mates teams adopt alongside Stilta, with the specific reason each pairing earns its keep.
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Featured Head-to-Head Comparisons
Stilta vs Surge Ai
Choose Stilta if you're a patent attorney needing rapid, defensible prior art with guaranteed high recall. Choose Surge AI if you're an AI lab or safety team requiring expert human feedback to align frontier models. They serve entirely different jobs—one automates patent search, the other provides human judgment for AI training.
Stilta vs Praktika
Praktika and Stilta serve completely different needs—one is a mobile app for language speaking practice, the other an enterprise AI platform for patent law. There's no direct competition. Choose based on your domain: if you're an intermediate learner wanting fluent conversation, pick Praktika; if you're a patent attorney needing rapid, defensible prior art searches, choose Stilta.
Semantic Scholar vs Stilta
Don't let the 'AI search' label fool you — Stilta and Semantic Scholar serve completely different jobs. If you're a patent attorney needing defensible invalidity or infringement analysis, Stilta's agentic search with 100% prior-art recall is essential (but costs enterprise money). If you're a researcher or student exploring 236M+ papers, Semantic Scholar is unbeatable at free. Pick the tool that matches your workflow, not the category.
Alternatives to Stilta
View all&AI (YC S24)
AI workspace for patent litigators: prior art search, claim charts, infringement detection, and BD.
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