Tradespace AI helps tech transfer offices collect, review, market, and license more technology
Tradespace’s AI turns inventor materials into comprehensive disclosure packages, analyzes market potential and novelty, generates non-confidential summaries, and provides licensing contacts, all in a single platform.
Tradespace helps universities turn research outputs into market-ready inventions by automating disclosure capture and evaluation, enhancing discovery reviews, expediting summaries, and strengthening licensing pipelines.
Tradespace lets offices of any size process disclosures faster, create non-confidential summaries in minutes, generate strong filing packages, and automate workflows, allowing universities to quickly clear multi-year backlogs and increase output without proportional increases in staff.
Yes. By enriching disclosures with market intelligence, harvesting more high quality inventions, and automating partner identification and outreach, universities using Tradespace often see improved licensing monetization deals and outcomes, and stronger startup partnerships.
Roles such as Technology Transfer Directors, IP Managers, Research Office Leaders, Innovation Commercialization Teams, and University Legal Counsel benefit, as Tradespace aligns IP workflows with institutional missions, market opportunities, research outputs, and regional economic impact.
The platform ingests inventor materials (manuscripts, lab notes, slides) and automatically generates structured disclosures, analyzes novelty and business potential, produces non-confidential summaries, and prioritizes inventions — all within one unified system designed for academic environments.
Yes. The system supports multi-jurisdictional portfolios, integrates with existing IP workflows, and aligns university inventions with market and corporate partner data, letting universities to operate on the global commercialization stage.
Although individual timelines vary, many universities report meaningful improvements (e.g. reduced backlog time, faster summary creation, or improved throughput) within the first few months of adoption thanks to our automations, AI-assisted triage, and simplified workflows.
Tradespace embeds business context — such as market relevance, partner ecosystems and startup readiness — into every patent disclosure and licensing decision aid. This ensures IP operations support research impact, institutional strategy, and revenue generation rather than just patent protection.
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