Disco is an AI-powered matching platform that connects university researchers to real-world industry challenges.
Built for Technology Transfer Offices (TTOs) and Open Innovation Units, Disco uses semantic search and expert reasoning to identify the best-fit researchers for complex, often vague problem statements—turning hours of manual searching into instant, justifiable matches.
Similar companies data is computed dynamically and not stored in the entity profile. This section requires implementing a similarity query (e.g. by classification overlap, sector, district).
This entity has 7 classification IDs that could be used for matching.
Disco Internal
Recent Updates
No update log entries.
Note: Free-text notes visible in the original Finder "Internal" tab are not present in the imported profile data. Only the update audit log is available.
Admin Info
Confidence
71/100
Missing
sector, tags, video or image, funding rounds, news, markets, not claimed
BI Verification
Dana Arnon
Registrar ID
517142352
Creator
Dana Arnon
Creator email
danaa@sncentral.org
Last update
2025-06-10T00:00:00.000Z
Created
2025-06-10T00:00:00.000Z
Claimed
Yes
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