Blinded target programs
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Patent analysis and structure extraction for target-focused teams.
Current benchmark signal
Live local data
What makes this different
What the local artifacts already show
A proof page first. A broader benchmark next.
This page uses real outputs already generated inside the PatWinnow workspace. Nothing below is a placeholder score. Every figure comes from local benchmark files, curated PDFs, or the blinded 13-program survey now living in ChemFTO.
Patent publications retrieved
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Target-centered evidence cases
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Context-confirmed evidence cases
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Live retrieval coverage
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KIPRIS Plus and EPO OPS coverage details load here from the current local benchmark payload.
Workflow
Search first. Filter fast. Hand off only what deserves deep analysis.
The product story should not start with a generic “AI platform” claim. It should start with a disciplined pipeline that turns raw patent noise into traceable chemistry output.
01
Search and collect
Target-driven patent retrieval, publication deduplication, family consolidation, and source-level logging across the enabled search stack.
02
Filter for relevance
Nanobot-assisted screening separates keep, target-pending, and exclude candidates before expensive downstream work begins.
03
Extract structures and evidence
Stage05 turns selected patents into structured chemistry rows, provenance-rich outputs, and review queues instead of raw screenshots.
Recent live pipeline snapshot
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The public story stays aggregate and blinded. The private workflow can still expand into full extraction when a source document set or curated PDF batch is supplied.
Explore use cases
Pick the page that matches the question you want answered.
The homepage stays brand-level. These pages go deeper into the search, analysis, and structure-extraction workflows people actually look for on Google.
Patent analysis
Investigate target or disease patent sets without starting from a blank sheet.
See how PatWinnow frames first-pass patent analysis, what we return, and what clients usually send before a free trial or pilot.
Patent structure extraction
Turn patent PDFs into structured rows with chemistry fields, names, and evidence traces.
This page explains what PatWinnow extracts from chemistry-heavy patents and when deeper PDF work is worth running.
Patent target search
Start from a target, disease, or program and narrow the patent set fast.
Review how PatWinnow handles search windows, source coverage, filtering, and what “first-pass” means before full extraction begins.
Benchmark
Show benchmark rules, public numbers, and proof assets without exposing private code.
This page separates the blinded survey metrics from the structure-extraction benchmark and explains how the public evaluation is framed.
Case studies
Use redacted examples to show what an engagement looks like before a pilot starts.
Browse target-analysis, patent-PDF extraction, and target-search case-study layouts that explain inputs, outputs, and review flow.
Benchmark snapshot
Show the numbers that matter now, and label the rest honestly.
Early product pages lose trust when they mix validated numbers with aspirational claims. PatWinnow should separate the blinded target-survey numbers from the anonymous single-document extraction benchmark that proves row-level chemistry field capture is already possible.
Anonymous structure-heavy benchmark
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Rows with structure-linked fields
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Rows with normalized name fields
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Rows with assay-linked evidence
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Run time
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Anonymous text-forward pass
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Final rows
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Rows with bioactivity evidence
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Rows with assay notes
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Wall time
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How to present this publicly
Benchmark framing that will survive scrutiny
| Sample deliverable | Preview row | What it proves |
|---|---|---|
| Patent analysis shortlist CSV | Redacted Family A, keep, deep_review |
Shows the narrowed review-set format instead of only aggregate counts. |
| Structure extraction rows CSV | Record A, structure field redacted, assay note retained |
Shows that the public proof already has row-level chemistry output shape. |
Contact
Get a free 5-year patent report for your target or disease (Available until June 30).
If you want a private pilot on your own patent set, a blinded target survey around your program, or a review of whether your workflow can surface structured chemistry fields, normalized names, assay notes, and broader bioactivity data in one pass, start with a short benchmark engagement.
What to send
Tell us what target, disease area, patent set, or chemistry extraction problem you want benchmarked. We will use that to scope a first-pass review and a realistic pilot.
- Target or program name
- Representative patents or a sample dataset
- What outputs matter: structure-linked fields, normalized names, assay notes, tables, or review workflow
- Expected timing and delivery constraints