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Leverage the first LLM built for
IP, R&D, and Life Sciences

PatsnapGPT is the only large language model designed to help innovation teams go from search to strategy with unprecedented speed, efficiency, and productivity. Get better answers, make faster decisions.

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Make the right call with AI-powered insights, references included

  • IP

    Find prior art faster. Extract the most relevant insights in seconds.

  • R&D

    Generate cross-industry ideas. Quickly assess viability, direction, and risk.

  • Life Sciences

    Accelerate drug innovation. Unlock clinical insights and make faster decisions.

Trained on the world’s most comprehensive innovation dataset

PatsnapGPT is trained on 3.5B+ expert-curated innovation sources, ensuring accuracy, legal compliance, and technical depth.

  • Patents & IP filings:

    172+

    Jurisdictions

  • Scientific literature:

    1.9B+

    Research papers, clinical trials, and technical books

  • Market & business intelligence:

    268M+

    News articles, funding data, regulatory filings

  • Biological & chemical databases:

    9.5B+

    Biological sequences, 270M+ chemical structures

PatsnapGPT consistently outperforms general-purpose LLMs

General AI falls short in complex fields. PatsnapGPT excels. Designed for IP, R&D, and Life Sciences, PatsnapGPT delivers expert-level accuracy and deeper insights where it matters most.

  • Smarter workflows,
    supercharged with AI-powered insights

    • Conversational AI
    • AI-powered search
    • Summarize
    • Scout tech trends
    Ask questions in natural language

Transform innovation in your industry

  • Life sciences & pharmaceuticals

    Identify novel drug candidates faster

    Assess regulatory pathways

    Track competitor strategies and licensing opportunities

    Accelerate molecule and biomarker discovery

  • Advanced materials & engineering

    Identify emerging high-performance materials

    Evaluate manufacturing innovations in composites, coatings, and nanotechnology

    Identify alternative materials to cut costs, enhance durability, or support sustainability goals

    Benchmark feasibility and performance using historical patent data

  • Energy, sustainability, & clean technology

    Auto-monitor advancements in solar, wind, and battery storage technologies

    Identify breakthroughs in energy-efficient materials

    Evaluate carbon capture and decarbonization technologies for investment potential

    Map supply chains and production methods for sustainable alternatives

  • High-tech & semiconductors

    Safeguard IP for chip architectures and semiconductor designs

    Auto-monitor AI, 5G, quantum computing, and IoT innovation trends

    Conduct comprehensive searches across standardized technologies and SEPs

    Identify patent infringement risks in competitive markets

Enterprise-grade security and
compliance you can trust

PatsnapGPT keeps customer data safe with world-class security and data privacy measures. Customer data is never used for training, ensuring privacy and IP protection.

  • Deep synthesis algorithm compliance

  • AI service regulatory certification

  • ISO27001:2022 certification

  • Trusted cloud security evaluation

Learn more

Unlock business growth with AI for innovation

  • 4.8x

    productivity with generative AI

    (WEF)

  • 44%

    increase in material discoveries

    (ReedSmith)

  • 39%

    increase in patent filings

    (ReedSmith)

  • 15%

    reduction in R&D cost

    (McKinsey)

Frequently asked questions

  • How is PatsnapGPT different from general-purpose LLMs?

    PatsnapGPT is designed for IP, R&D, and Life Sciences, trained on technical and legal data for industry-specific accuracy.

  • Does PatsnapGPT cite sources?

    Yes. Every response links to authoritative sources for transparency and verification.

  • Can PatsnapGPT integrate with enterprise systems?

    Yes. PatsnapGPT supports API integrations and secure deployment for enterprise users.

  • Is customer data used for AI training?

    No. User interactions remain private and are never used to train PatsnapGPT models.