The world produces more research than any team can read. PubMed adds thousands of biomedical papers a week. The patent corpus grows by hundreds of thousands of filings a year. And the people who turn that research into commercialization decisions — technology transfer offices, corporate R&D scouts, deep-tech investors — are still doing it with a search bar and a spreadsheet.

AI ResearchPartner is the missing layer. One research topic in; a 10-tab, decision-ready dashboard out — market context, IP white space, funding programs, investor activity, and the university landscape — usually in about seven minutes.

What makes it different:

▸ Grounded in eight sources your committee already trusts: PubMed, arXiv, OpenAlex, USPTO, NIH RePORTER, Grants.gov, ClinicalTrials.gov, and curated web search. Every claim cited inline, every citation a click from its source.

▸ Decision-ready, not descriptive. Every analysis ends with a prioritized shortlist of moves — real patent numbers, named PIs, concrete next steps — and exports to committee-ready PDF, DOCX, and PPTX.

▸ Honest by construction. PRO Insights computes ten deterministic signal families — publication velocity, filing-window reads, per-competitor filing pace, talent mobility, and more — and every signal shows its math, carries its confidence, and states its caveat. When the data is too thin to support a claim, we show nothing rather than something shiny.

Judge the dashboard on its citations → airesearchpartner.com


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