Companies are profiled across 10 distinct signals. Ask any complex question — requirement, solicitation, patent — and get a prioritized, evidence-backed shortlist.
One firm shows up as a parent, a dozen subsidiaries, an IP-holding arm, and a pile of misspelled patent assignees. Until that's resolved, every search is counting the same company four times and missing it twice.
Hoover resolves the signals — patents, products, publications, clinical trials, FDA clearances — to the companies behind them, and holds each as a single canonical profile carrying that company's expertise, capabilities, and technologies. Search runs against the resolved graph, not a keyword index, so a question phrased in your terms finds companies described in theirs.
A requirement, a solicitation, a patent portfolio, or a plain question — extract what's actually being asked.
Match the question against every canonical company profile — not a keyword index.
Return a ranked shortlist with an evidence-backed justification memo for each company.
Unknown firms are surfaced, resolved, and onboarded — the next search starts from a bigger universe.
Read a solicitation, extract the required capabilities, and return the companies that meet them.
Surface non-obvious candidates to bring into the MTEC OTA.
Assemble complementary teams by matching partners whose capabilities fill each other's gaps.
Find out-licensing targets (who needs this IP) and in-licensing sources (who owns IP you need).
Identify partners with complementary technology.
Map competitors and the ownership positions that constrain you.
An asset that is slow and costly to assemble, and compounds as each new source is added.
Bring a requirement, a portfolio, or a question you can't answer with a keyword search — and see the shortlist with the reasoning behind every name on it.
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