Deploy AI agents to mine R&D notes, patent filings, and technical documents to uncover hidden IP, innovation opportunities, and infringement risks.
Services

Deploy AI agents to mine R&D notes, patent filings, and technical documents to uncover hidden IP, innovation opportunities, and infringement risks.
Your company's most valuable assets are locked in legacy PDFs, internal wikis, and decades of R&D notes. We build AI systems that automatically surface undiscovered intellectual property, potential patent infringements, and white-space innovation opportunities from these unstructured archives.
Transform your archival data from a compliance burden into a strategic IP asset and innovation engine, reducing manual review time by 80% and accelerating time-to-patent.
Our approach integrates domain-specific language model (DSLM) training on your proprietary corpus and Retrieval-Augmented Generation (RAG) infrastructure connected to trusted knowledge bases. This ensures findings are accurate, traceable, and actionable. For related data architecture, see our services on Unstructured Data Lakehouse Architecture and Enterprise Knowledge Graph Construction.
Our AI agents don't just find data—they deliver measurable business value by uncovering hidden assets, mitigating risk, and identifying new revenue streams locked within your archives.
Identify previously overlooked inventions, processes, and trade secrets within R&D notes and technical documents that can be patented, licensed, or commercialized to create new revenue.
Systematically scan internal archives and public patent databases to identify potential infringement risks before they become costly litigation, ensuring freedom to operate.
Surface prior internal research, failed experiments, and tangential discoveries to prevent redundant work and provide new starting points for current innovation projects.
Provide a complete, AI-validated inventory of a target company's intellectual property assets and liabilities, far beyond standard legal reviews, for more accurate valuation.
Strategically map your innovation landscape to identify whitespace and guide R&D investment towards building stronger, more defensible intellectual property portfolios.
Automatically flag technical data and IP subject to ITAR, EAR, or other export controls buried within archives, preventing unintentional compliance violations.
A typical 6-8 week engagement to deploy AI agents for mining R&D archives, patent filings, and technical documents to surface undiscovered IP and innovation opportunities.
| Phase & Key Deliverables | Timeline | Inference Systems Team | Client Commitment |
|---|---|---|---|
Discovery & Archive Assessment | Week 1 | Technical deep-dive on data sources, formats, and volume; Initial IP taxonomy definition | Provide data access and subject matter expert interviews |
AI Pipeline Architecture & Agent Design | Weeks 2-3 | Custom agent workflow design; Vector database and RAG system setup; Security and access controls | Review and approve technical architecture |
Model Fine-Tuning & Validation | Weeks 4-5 | Domain-Specific Language Model (DSLM) tuning on proprietary corpus; Hallucination mitigation testing | Validate model outputs against known IP examples |
Pilot Deployment & Insight Generation | Week 6 | Deploy agents to pilot archive subset; Generate first report of discovered IP candidates and potential infringements | Review initial findings and provide feedback |
Full-Scale Deployment & Integration | Weeks 7-8 | Scale pipeline to full archive; Integrate findings into existing IP management systems (e.g., Anaqua, Clarivate) | IT support for system integration |
Ongoing Monitoring & Reporting | Post-Deployment | Monthly insight reports; Agent retuning as new data arrives; Optional SLA for 99.9% uptime | Designate internal point of contact |
Typical Project Investment | 6-8 weeks | $75K - $150K (scope-dependent) | Internal resource allocation for SME access |
Our AI-powered intellectual property discovery systems are engineered to deliver precise, actionable insights from your most complex archives, accelerating innovation and protecting your most valuable assets.
Mine decades of lab notebooks, clinical trial reports, and research papers to identify novel compound interactions, repurpose existing drugs, and uncover patentable discoveries buried in legacy data. Our systems connect disparate research silos to accelerate time-to-market.
Analyze internal code repositories, design documents, and engineering logs to surface reusable algorithms, identify potential open-source licensing conflicts, and discover patentable software innovations before competitors. We integrate with GitHub, GitLab, and Jira.
Process technical manuals, engineering drawings, and supplier communications to identify proprietary manufacturing processes, material innovations, and potential design patents. Our systems extract insights from scanned PDFs and CAD file metadata.
Deploy AI agents to conduct prior art searches across global patent databases and internal case files, identifying potential infringements and white space opportunities for clients with higher precision and lower cost than manual review.
Securely analyze classified and ITAR-restricted technical documentation, research reports, and test data within air-gapped environments to uncover dual-use technologies and strengthen patent portfolios while maintaining sovereign data compliance.
Parse internal fintech research, algorithm documentation, and regulatory filings to identify patentable financial models, trading strategies, and risk management methodologies before they become industry standard.
Get specific answers on how our AI-powered intellectual property discovery service works, from timeline and security to outcomes and support.
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