Patent Research AI

Beyond patent search.
Papers, patents and internal docs in one map.

Viewpoint matrix in 30 seconds, structured report in 10 minutes.

Designed for chemistry / materials R&D and IP teams who need cross-domain depth in their patent research.

Your research partner

Snorbe knowledge graph screenshot

Where research and IP
finally connect.

Snorbe brings public papers, patents and news together with the internal documents your team has been sitting on — all in the same knowledge graph. The latest research, the timing of filings, prior investigation results, and what nobody has connected yet are visible in one view.

  • Cross-search J-PlatPat / Google Patents / arXiv / PubMed
  • Integrate internal PDF, Word, Excel and PowerPoint into the same graph
  • Auto-generate viewpoint matrices and structured reports

Trusted by leading R&D and IP teams

Already in use across R&D and IP teams

Chemical Manufacturer
Advertising Agency
Electronics Manufacturer
Pharma Company
Functional Materials Maker
New Business Division

Capabilities

Everything IP research needs, in one agent

Search, analyze, integrate and automate — through a knowledge-graph-native research agent.

Cross-domain knowledge graph

Bring papers, patents and internal documents into a single graph and see adjacent research at a glance.

Auto-generated viewpoint matrix

Organize patents and papers along Technology × Application or Problem × Solution in 30 seconds. Export to Excel / CSV.

White-space detection

From the distribution of existing research and patents, surface under-explored regions automatically.

Human-in-the-Loop

Humans review the plan, the report and the matrix before final actions. AI broadens, people decide.

Self-host ready

Deploy on-prem with Docker. Keep unpublished filings and confidential documents inside your perimeter.

Multi-model routing

Switch between snorbe-fast / medium / quality to balance speed, cost and depth per task.

Sources Snorbe connects

J-PlatPat

Google Patents

USPTO

EPO Espacenet

WIPO

arXiv

PubMed

Semantic Scholar

Google Scholar

Internal PDF

Internal Word

Internal Excel

Internal PowerPoint

Internal Notion

Internal Drive

Patent Research Internal

Built for IP and R&D

AI that meets the rigor of IP and R&D

Audit logs and access control

Track who searched what and when. RBAC controls cross-team visibility.

Every answer is traceable

Every response carries source links — one click to the original page.

On-premise and air-gapped

Deploy via Docker Compose. Keep unfiled inventions and confidential information off the public internet.

Industry-specific templates

Industry-tailored viewpoint axes for chemistry, materials, semiconductors and pharma — search queries are built automatically by the AI.

Snorbe entity detail and side panel

Comparison

How Snorbe differs from other patent AI services

Five-criterion comparison of leading patent AI services versus Snorbe.

Snorbe

Recommended
Positioning
Knowledge-graph-native AI research agent (papers, patents and internal docs)
Pricing
From $20/mo (team plans available)
  • Cross-domain integration (papers + patents + internal)
  • Automatic white-space detection
  • HITL keeps IP-grade precision
  • Self-host for closed environments
  • Transparent pricing eases procurement
  • No proprietary patent DB, so initial retrieval can take a bit (comprehensive access to public DBs available via API)

T Inc. (Patent-search AI)

Positioning
Private AI patent platform (strong on patent search and claim drafting)
Pricing
Undisclosed (demo / free trial only)
  • End-to-end AI search and claim drafting
  • Queries never leave the customer environment
  • Specialized in generative AI for IP practice
  • Limited integration with papers and internal docs
  • Weaker upstream white-space exploration
  • Pricing opacity slows initial evaluation

L Inc. (IP-execution AI)

Positioning
All-in-one IP AI platform (prior art, infringement, invalidation)
Pricing
Undisclosed (inquiry-based)
  • Broad functional coverage
  • Strong numeric claims (40-70% time saved, claim draft in 3 minutes)
  • Audience spans startups to patent firms
  • Weak on cross-domain integration with papers and internal docs
  • Inquiry-based onboarding adds friction

P Inc. (Patent mining)

Positioning
Patent map / analysis software (operational tooling)
Pricing
¥298,000 per seat + ¥5,000/mo maintenance
  • Solid patent-map building
  • Affordable
  • Many published case studies
  • Light on AI-agent capabilities
  • No integration with papers or internal docs

W Inc. (IP information platform)

Positioning
Patent document analysis, review support and consulting
Pricing
Undisclosed (inquiry-based)
  • Customized advisory based on experience
  • Consulting + tooling hybrid
  • Limited product-facing information
  • Continuous internal operation depends on advisory

Use Cases

Industry-specific use cases for IP and R&D

Chemistry / Materials R&D

New theme exploration — solid-state battery patents and papers in one map

Integrate sulfide electrolyte, coating layers and interface resistance research with patents. Detect untouched combinations of electrode material × manufacturing process as white space. Hypothesis-building finishes in 30 minutes.

IP Team

First-pass prior art screening — organize points before consulting a patent attorney

From the invention description, extract recommended search keywords, prior art domains and novelty/inventive-step concerns. Use the output directly as discussion notes when consulting an attorney.

New Business / Strategy

Competitor × technology map — investment rationale in half a day

Combine public patents, papers and startup data to build a Market × Technology × Competitor map. Reuse the output as evidence in investment review.

FAQ

Q

How is Snorbe different from patent-search AI (T Inc.)?

Patent-search-focused AI shines at patent-execution — search and claim drafting. Snorbe sits upstream, helping you decide what to investigate by unifying papers, patents and internal docs in a single knowledge graph.

Q

How is Snorbe different from IP-execution AI (L Inc., etc.)?

IP-execution AI excels at the breadth of IP workflow functionality — prior-art search, infringement prediction, claim drafting. Snorbe's differentiator is cross-domain integration with papers and internal docs, plus automatic white-space detection.

Q

Can I self-host Snorbe?

Yes. We support Docker-based on-prem deployment with workspace / RBAC settings, audit logging and enterprise security review — going one step beyond T Inc.'s 'queries never leave' guarantee.

Q

Is pricing transparent?

Yes. From $20 / mo for individuals, with team plans available. New sign-ups get free credits so you can try Snorbe first; for continued use you move to a subscription.

Q

Can I start with just prior-art screening?

You can. We publish a free first-pass screening tool (no signup needed). For continuous use we recommend running Snorbe itself.

Q

Which patent data sources are supported?

J-PlatPat, Google Patents, USPTO, EPO (Espacenet) and WIPO. On the research side, arXiv, PubMed and Semantic Scholar. Internal documents support PDF, Word, Excel, PowerPoint, CSV and images.

Q

Does it work outside chemistry?

Yes. Semiconductors, electronics, pharmaceuticals, mechanical, software — Snorbe operates across industries. Industry-specific templates can be tailored on request.

Start patent research with Snorbe.

New sign-ups get free credits to try Snorbe. For continued use you move to a subscription. Reach out for a demo or self-host consultation.