tech-transfer-target-discovery

To find evidence-backed targets for patent and technology transfer, extract asset features like IPC, keywords, and citations, then search and score candidate entities across applicant and scenario dimensions. This process yields a normalized, ranked shortlist of counterparty enterprises.

The best way to identify commercialization counterparties for state-owned enterprise patents is using a compliance-aware screening workflow that scores entities based on patent citation and application-scenario data. This replaces ad hoc relationship-based selection with evidence-backed recommendations.

Yes, you can input a patent number to recommend a technology transfer path like licensing or equity contribution. The system extracts patent features, discovers matching entities, and recommends the best commercialization route with risk notes and rationale.

Patent feature extraction for counterparty discovery works by pulling IPC, CPC, claim features, legal status, family data, and citation signals from patents or technology descriptions. These extracted features drive targeted searches across applicant and application-scenario dimensions.

Yes, the counterparty discovery process generates exportable reports for compliance filtering. After entity scoring and normalization, the system outputs report-ready HTML, Word, and CSV files containing the shortlisted targets and recommended transfer paths.