DeepMind alums' poker AI scores $500M valuation in quant trading
From beating poker pros to trading billions daily — with zero negative months.
Three former DeepMind researchers who built DeepStack, the first AI to beat humans at no-limit poker, are now applying reinforcement learning to stock trading at their Prague-based lab EquiLibre Technologies. The startup raised a Series A led by Creandum (its largest-ever single investment), hitting a $500M valuation. In partnership with Tower Research Capital, their algorithms trade billions daily in S&P 500 and Nasdaq, boasting zero negative months since inception. The team next plans to bring online what it expects will be one of the largest compute clusters in Central and Eastern Europe.
- DeepStack creators apply reinforcement learning to stock trading, achieving zero negative months since inception.
- Series A led by Creandum (its largest single investment) at a $500M valuation; team of 25 in Prague.
- Algorithms trade billions daily in S&P 500 and Nasdaq via partnership with Tower Research Capital.
Why It Matters
DeepMind alumni prove reinforcement learning can revolutionize quant finance — and attract big VC bets.