The reliance on public data — mostly web data — to train AI is holding back the AI field. That’s according to Daniel Beutel, a tech entrepreneur and researcher at the University of Cambridge, who co-founded a startup, Flower, to solve what he sees as a growing problem in AI research.
Who to call at Flower, and when
A new round usually means Flower is about to hire and buy. The teams that reach out first get the meeting.
An alert the day Flower raises, hires an executive or expands, scored against what you sell
The decision-makers there, with verified emails
Who you already know at Flower, from your own LinkedIn network
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Company Information
Company
Flower
Location
Stockholm, Stockholm County, Sweden
About
In its pre-seed round, the startup raised $3.6 million. Relying on a technique called federated learning, Flower doesn’t provide direct access to data, making it ostensibly “safer” to train on in situations where privacy or compliance are concerns. “Customers can build AI systems using Flower where user privacy is strongly protected, and yet they are still able to leverage more data than they ever could before …
AI made execution free. Knowing first is the whole game now.
Fundz sees it the moment Flower raises, hires an exec or expands, usually minutes after it happens, and tells you who to reach.
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