Patent Landscape Intelligence

Decentralized Collective Foresight Network

DCFN - Patents scans where your portfolio sits in the patent landscape, finds what's already filed next to you, and tells you what's worth filing next. It pulls the real US patent corpus, builds a structural map around your claims, and separates signal from noise — so you file on gaps that are actually open, not ground someone already covered.

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Data Sources

The real US patent corpus, not a language guess

Every scan pulls live filings from public patent data. When DCFN - Patents tells you a patent sits near yours, it can show you the number, the claims, and the similarity score.

US Patent Corpus

Full-claim text and metadata across the US patent corpus via Google BigQuery's public dataset, sourced from USPTO public data.

Primary

Your Cluster

Up to 7 US patent numbers per scan, encoded as the anchor. Your own portfolio, a competitor's filings, an adjacent research cluster, or a vertical you're considering entering — the engine maps structural gaps across whatever cluster you submit. The input doesn't have to be your own work.

Your Anchor
Run Access

Run on your portfolio — $85

$85 unlocks a 30-day window on the engine's Pro execution tier. Submit any portfolio (up to 7 patents per run). Layer 1 landscape briefing + unlimited Layer 2 deliverables (provisional drafts and Continuation Strategy Memos) are included — no per-deliverable charges during the window.

Want to evaluate the engine first without paying? Browse published reports — real engine output across multiple cluster types, generated and posted as samples.

Stripe handles payment. After checkout you're redirected back here with the run window open. Access lasts 30 days from the payment date.

What You Get

Where you sit. What's next to you. What's worth filing.

IP intelligence tools accept a cluster of patents and return a competitive landscape — that part is commodity. DCFN - Patents is different in what it does with the cluster: graph-native cognitive traversal that surfaces NOVEL / PRIOR-ART-ADJACENT / PRIOR-ART-CONVERGENT classification, kill recommendations when prior art crosses a similarity threshold, and cross-patent silent-region risks no single-patent search would catch. Detection and corrective artifact ship in one pipeline — when the engine identifies a silent-region gap, it auto-generates a §112-compliant provisional draft to fill that gap, not a separate step and not by hand. Most IP-intelligence tools do diagnosis. Most patent-drafting AI does drafting on user-supplied prompts. DCFN - Patents does both, in one pipeline. The cluster intake is not the differentiator. The structural reasoning over it is.

LAYER 1

Landscape Briefing

Included

DCFN - Patents pulls the cluster you submit, builds a domain scan around it, and produces a structural briefing. It names the clusters the input sits in, the nearest existing patents, where the cluster stands alone, and the proposed patents worth filing next — each pre-checked against the live landscape.

Portfolio cluster positioning Nearest competitor to your portfolio Clusters where you stand alone Proposed patents with abstract previews NOVEL / ADJACENT / CONVERGENT classification Downloadable .docx briefing
LAYER 2

File-Ready Deliverables

Included

Select whichever deliverables you want from the L1 briefing — no per-deliverable charges during the access window.

  • Provisional draft (.docx) — abstract, background, summary, detailed description, 10-15 numbered claims, prior-art differentiation memo. Ready to file with the USPTO once you've reviewed it.
  • Continuation Strategy Memo (.docx) — a strategic landscape memo for one of your filed patents. Where it sits, who the closest neighbors are, where the defensive edges could sharpen, whether a follow-on filing is worth pursuing. Written for a patent owner, not a coding agent.