The DeepMind trio who built a poker AI are now making money for quant hedge funds

The AI tools making headlines aren't built for your business. They're built for hedge funds and research labs. And yet somehow you're supposed to pick one by Friday. You've probably already paid for

The AI tools making headlines aren't built for your business. They're built for hedge funds and research labs.

And yet somehow you're supposed to pick one by Friday.

You've probably already paid for something that sounded right in the demo and sat unused for months. That's not a you problem. That's a vendor problem. The gap between what AI can do at a $500M research firm and what it can do for your operations next quarter is enormous — and nobody's being straight with you about it.

Here's what the EquiLibre story actually tells us: the best AI implementations are narrow, specific, and built around one repeatable problem. Not everything. One thing. These researchers didn't try to automate all of finance. They picked a defined decision and made AI exceptional at it.

That's your actual starting point.

Find the one task your team does repeatedly that follows a predictable pattern — quoting, intake forms, first-draft responses, internal reports. That's your pilot. Run it for 30 days. Measure the time saved. That single win tells you more than any consultant ever will.

What's the one repetitive task in your business that costs your team the most time each week?

#AIStrategy #BusinessGrowth #SmallBusiness #AIImplementation

Original Source

EquiLibre Technologies, a Prague-based AI lab founded by three ex-DeepMind researchers, is now valued at more than $500 million.