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DeepMind poker AI trio's trading startup EquiLibre valued at $500M

Created at 30 Jun · 8:50 PM1 source↑ Market-relevant
IN SHORT

Former DeepMind researchers who developed a poker-playing AI have launched EquiLibre Technologies, an AI lab applying reinforcement learning to financial markets. The Prague-based startup, now valued at $500 million after a Series A funding round led by Creandum, trades billions daily across S&P 500 and NASDAQ.

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Key Numbers

$500 millionEquiLibre Technologies valuation after Series A
$10 millionEquiLibre's seed round funding
$140 millionEquiLibre's seed round valuation
25EquiLibre's current headcount
2025Year EquiLibre's agents rolled out on crypto markets
2022Year EquiLibre built its initial team
2024Year Rich Sutton received Turing award
2023Year Alphabet shut down DeepMind's Edmonton office

Who's Involved

Martin Schmid
CEO of EquiLibre Technologies and former DeepMind researcher
Rudolf Kadlec
CTO of EquiLibre Technologies and former DeepMind researcher
Matej Moravcik
CSO of EquiLibre Technologies and former DeepMind researcher
Creandum
Venture capital firm leading EquiLibre's Series A funding round
Cameron Sellers
Vice president at Creandum
Tower Research Capital
Quant firm partnering with EquiLibre for trading
Rich Sutton
Turing award winner and EquiLibre advisor
DeepMind
Google-owned AI research company
DeepMind poker AI trio's trading startup EquiLibre valued at $500M

↳ Why This Matters

This development highlights the growing application of advanced AI techniques, like reinforcement learning, beyond gaming into high-stakes financial markets, potentially reshaping quantitative trading strategies and demonstrating the commercial viability of frontier AI research.

Key facts

  • EquiLibre Technologies, founded by former DeepMind researchers, uses AI trained on poker to trade financial markets.
  • The company has achieved a perfect record of zero negative months since its trading agents were rolled out in 2025.
  • EquiLibre's AI trades billions in daily volume across the S&P 500 and NASDAQ in partnership with Tower Research Capital.
  • The startup announced a Series A funding round led by Creandum, valuing the company at $500 million.
  • Creandum described the Series A as its largest single investment in a company.
  • The founders are motivated by building new AI technologies rather than market efficiency.

Three former DeepMind researchers who developed an AI capable of beating professional poker players have successfully applied similar reinforcement learning technology to financial trading, leading to a $500 million valuation for their startup, EquiLibre Technologies. The Prague-based company, which also includes DeepMind alumni on its advisory board, has partnered with quant firm Tower Research Capital to trade billions daily across the S&P 500 and NASDAQ.

EquiLibre's AI agents have reportedly maintained a perfect record of zero negative months since their deployment in 2025, initially on crypto markets and subsequently on stock exchanges. The startup's success has attracted significant venture capital interest, with Creandum leading its Series A funding round, which the firm described as its largest single investment to date.

While the founders lack a traditional finance background, their motivation stems from the challenge of building novel AI systems. They established EquiLibre in their home country, Czechia, to leverage a strong local talent pool and create a stable environment for AI development, contrasting with the rapid pace of AI advancements elsewhere. The company plans to expand its compute infrastructure significantly.

EquiLibre's journey began with the development of DeepStack, an AI that defeated professional no-limit poker players, while the founders were visiting PhD students at DeepMind's former international research office in Edmonton. The company has previously secured pre-seed funding from Credo and a seed round from Blossom Capital. Despite competition from firms like Jane Street, which also utilizes AI in trading, EquiLibre's founders believe the market is not a winner-takes-all scenario.

Frequently asked questions

The founders are Martin Schmid, Rudolf Kadlec, and Matej Moravcik, all former DeepMind researchers who previously built a poker-playing AI called DeepStack.

The company is valued at $500 million following its Series A funding round.

EquiLibre applies reinforcement learning, an AI training technique where self-learning models are incentivized by rewards, similar to how their poker AI was trained.

Their algorithms trade billions in daily volume across the S&P 500 and NASDAQ, and previously on crypto markets.

What Happens Next

01EquiLibre plans to scale its compute infrastructure.
02The company aims to become known as 'the AI lab in trading'.

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Cadence

How It Developed

Three former DeepMind researchers created an AI that beat humans at poker.
They founded EquiLibre Technologies, an AI lab applying this technology to stock trading.
EquiLibre's AI algorithms have been trading billions in daily volume across the S&P 500 and NASDAQ in partnership with quant firm Tower Research Capital.
The startup claims its agents have had a perfect record of zero negative months since their rollout in 2025.
EquiLibre raised an undisclosed Series A funding round led by Creandum, valuing the company at $500 million.
Creandum confirmed the Series A was the largest single investment the firm has ever made into a company.
The founders, who do not have a finance background, are driven by building novel AI systems.
EquiLibre plans to scale its compute infrastructure, aiming for one of the largest compute clusters in Central and Eastern Europe.

Sources

T1
The DeepMind trio who built a poker AI, are now making money for quant hedge fundsTechCrunch

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