Stilta sells "every finding cited to its source", but its own headline numbers have no citations and don't agree with each other. The homepage FAQ says 71% recall "versus around 35% for other patent AI tools and 18% for general LLMs", with no link to the study. The study's own callouts (+31pp vs. search tools and +49pp vs. LLMs, from 71%) work out to about 40% and 22%. Runtime appears as "30 min" on the homepage, "about 20 minutes" in the FAQ, and both "21m" and a "median search time of 17 minutes" in the study. The homepage says "200x more scalable", but the source post says 200x more cost-efficient. The February study promises a public dataset, but the page has no download link. The newest result, Polhem 1.0 at 72.6% recall, is missing from the sitemap. Patent litigators check numbers for a living, and a rival's comparison page already tells them to verify Stilta's track record.
First action
List every number on the homepage and product pages next to its source sentence, and pick one definition for each.
How to measure it
Benchmark-sourced demo requests
- Now
- –
- Target
- 20 a month
- By
- 60 days
Steps
Audit the numbers
Homepage, product pages, news posts and the FAQ: each figure, its source and its definition.
Co-founder & CEO 1 day
Pick one definition each
Recall vs. best tool or vs. average; median or mean runtime; speed vs. cost for the 8-13x and 200x figures.
Co-founder & Chief Architect 1 day
Build the cards
One card per study: question, ground truth, sample, result, date, limitations and a link.
Co-founder & CPO 3 days
Publish the PTAB dataset
IPR identifiers and challenged patents as a CSV, as the study promised.
AI Engineer 2 days
Link every stat
Each homepage number links to its card, using the same wording.
Co-founder & CPO 1 day
Add the lead form
"Run this benchmark on your own patents": patent numbers in, a booked review out.
Co-founder & CPO 1 day
Add to the sitemap
/benchmarks plus the Polhem post, with lastmod dates.
Platform Engineer 1 hour
Review quarterly
Add new results and date every update.
Co-founder & CEO quarterly
Why it works
Build /benchmarks as the single source of truth. Give each study (PTAB invalidity recall, Polhem examiner-citation recall, the KUKA infringement re-run, Maersk product mapping, portfolio-scale claim-chart cost) its own card with the question, the ground truth, the sample, the result, the date, the limitations and a link to the full write-up. Pick one definition per number: for example, "71% recall (95% CI 64-77%) vs. 40% for the best search tool", or say outright that 35% is an average. Then use exactly that figure everywhere and link every homepage stat to its card. Publish the promised PTAB dataset (IPR identifiers and challenged patents) as a download. Add a "Run this benchmark on your own patents" form, which is already the study's CTA, as the page's main action.
For a product whose promise is defensible, traceable evidence, consistent and cited numbers are the pitch itself. An IP partner who finds a mismatch on the homepage will doubt the claim charts too. With a reproducible dataset, Stilta becomes the vendor that others have to measure against, while Patlytics publishes case-study ROI and no benchmarks.
Ready to use
ChecklistBenchmark consistency sheet
Number | Homepage today | Source today | Pick one PTAB recall | 71% vs ~35% tools, 18% LLMs (no link) | 71%; +31pp tools, +49pp LLMs | 71% vs __% (best tool / average) Runtime | "30 min" and "about 20 minutes" | "21m" header, 17 min median | __ min (median, input to first draft) Scale/cost | "8-13x faster and 200x more scalable" | 8-13x speed, ~200x cost-efficient | "8-13x faster, ~200x cheaper per comparison" Patents indexed | 200M+ | Polhem: 170M+ documents | define patents vs. documents [ ] PTAB dataset CSV published [ ] Every stat links to /benchmarks [ ] /benchmarks and /news/introducing-polhem in sitemap
Risks and how to handle them
Restating 35% as 40% looks like a correction
Show both figures with their definitions (best tool vs. average), so nothing is quietly changed.
Competitors use the dataset to tune their tools
That is the point of an open benchmark; keep a held-out set for each new edition.
Evidence
- Your websiteHomepage numbers: a "30 min" runtime "From input to first draft"; the FAQ says Stilta "replaces the search in about 20 minutes"; "8–13x faster and 200x more scalable"; "We index 200M+ patents across 110+ jurisdictions"; and "In our public PTAB benchmark across 40 IPR institution decisions, Stilta surfaced 71% of cited prior art, versus around 35% for other patent AI tools and 18% for general LLMs", with no link to the study.Source
- Your websitePTAB study (February 17, 2026): 40 IPR institution decisions from February 2023 to January 2026; "71% petition recall across 40 cases, with a median search time of 17 minutes per patent", while the header shows "21m" and callouts of "+31pp" vs. search tools and "+49pp" vs. LLMs; the five tools and three LLMs compared are not named; Stilta also surfaced 161 references not cited in the petitions; IPR prior-art search typically costs $15,000–50,000 and takes 4–8 weeks; the authors write "We are publishing the full benchmark dataset - including IPR identifiers and challenged patents", but the page has no download link; CTA "Want to run this benchmark on your own patents?"Source
- Your websitePortfolio-scale model (October 15, 2026): Stilta post-trained an NVIDIA model on litigation claim charts and EPO examiner decisions; 5,000 claim charts per hour on one GPU, "8–13x faster than open reasoning models"; $0.65 per 1,000 comparisons versus $132 for a leading frontier model, "about 200x more cost-efficient"; a 10,000-family portfolio analysed every month for about $1,600 a year instead of $320,000; early access is limited to a small number of enterprises and firms.Source
- Your websitePolhem 1.0 (November 5, 2026): Stilta's own 345M-parameter search model over more than 170 million patent documents, trained on examiner citations; on 3,969 held-out applications, 72.6% of examiner-cited art is in the top 1,000 results, 11.5 points above the strongest open model tested (over 20 times as many parameters); first on the public DAPFAM and perf200 benchmarks.Source
- Your websiteSitemap (23 URLs, checked November 9, 2026): no lastmod dates; 2 product pages, 13 news posts and legal pages; missing the three newest posts linked from /news (/news/introducing-polhem, /news/product-update-november-26, /news/product-update-september-26) and /webinar; no pricing, benchmark, workflow, practice-area or comparison pages.Source
- Competitor research&AI's own "&AI vs Stilta" page calls Stilta "a newer entrant (founded 2026)", says its court usage should be confirmed, suggests it may fit US IPR and district court work less well because it is not US-headquartered, and offers a 7-day free trial of &AI.Source
- Competitor researchPatlytics homepage: "The Premier AI-Powered Patent Platform"; 160M+ patents and 300M+ literature items; a $40M Series B; ROI case studies such as an Am Law 100 firm finishing a 120-patent project in 20 hours instead of 100 for about $38,000 in added margin; SOC 2 Type 2, ISO 27001 and ISO 42001; no published benchmarks on the homepage.Source