The full picture of a technology field.
Updated continuously.
An on-demand patent landscape engine, same query, current data, refreshable any time the territory shifts.
A patent landscape maps who is filing what, where, how fast, and in which sub-domains ... across the entire global patent corpus. Traditional landscape studies take weeks and are outdated before they land. Kwintely delivers a live landscape in 90 seconds, and keeps it current with 320,000 new weekly index entries.
Q1: you commissioned a €40K landscape study. Q3: a competitor filed 60 more patents in your core domain, two new entrants appeared, one sub-field exploded. Your team is making 2026 R&D decisions against a 2025 map. The landscape didn't change because the data did, it changed because you couldn't refresh fast enough.
Before Kwintely vs With Kwintely
Teams already using Kwintely for Dynamic Landscaping
From description to result in three steps
Describe the technology domain
A paragraph, a technology description, or a set of reference patents. Plain language defines the scope.
Kwintely builds the landscape
Context-matched mapping across 295M+ documents ... assignees, geographies, sub-fields, timelines generated automatically.
Landscape updates with the index
Re-run the same query next month. The landscape reflects 320,000 new weekly additions ... no manual update required.
Four artifacts, one search
Live dashboard URL
Same query, refreshable any time. Bookmark it; share it across the team.
Boardroom PDF report
Assignee ranking, geo distribution, filing trajectory, sub-cluster map, formatted for executive presentation.
CSV of filings + assignees
Full exportable dataset, drop into your BI tool or counsel briefing.
Sub-cluster JSON
Machine-readable cluster output for downstream visualisation or portfolio benchmarking.
What teams ask before they sign.
How current is the landscape data?
320,000 new patent, paper, and clinical trial entries are indexed every week. Re-running the same query a month later reflects every filing that's published since. The landscape isn't a static deliverable, it's a live view that stays fresh because the underlying index does.
Is the output ready for counsel review?
Every result includes the source document, publication date, similarity score, and the relevant passage quoted verbatim. The output is structured the way an associate-led search would be: ranked, cited, exportable. The AI is a mapping engine; the documents it surfaces are real. Counsel still makes the legal call; Kwintely does the search and citation prep.
How does this fit with my existing patent firm?
Most teams run Kwintely before engaging counsel, to scope the work and narrow the candidate set, then walk into the review with the search prep already done. Counsel spends their hours on judgement and the legal opinion, not on assembling the candidate list.
What about pricing and lock-in?
Three ways to work with Kwintely: the self-serve SaaS platform, scoped research-service projects where our team runs the analysis for you, or the API and MCP data layer for your own tools. Full output runs on a paid plan, the free tier is for trying basic searches, not complete deliverables. See the pricing page for current plans and terms.
Run the experiment, not the procurement.
Build your first live landscape, same query, refreshable forever.
Counsel still signs off
Kwintely produces the structured search; your firm keeps ownership of the legal opinion. Nothing about your existing relationship has to change.
Run it on a real case
Pick the technology you'd already pay counsel to clear. Compare what Kwintely returns against what your firm would charge for. Decide on the second case, not the first.
No lock-in
Free tier covers the first basic experiment. Full output on paid plans. Fixed monthly fee on the way up. The cost of the test is one search.
See Dynamic Landscaping in action.
Build your first live landscape, same query, refreshable forever.