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

Albert Michael By: Albert Michael - Wednesday, 01 July 2026 03:33:48 • 5 min read
The DeepMind trio who built a poker AI, are now making money for quant hedge funds - BERITAJA

The DeepMind trio who built a poker AI, are now making money for quant hedge funds - BERITAJA is one of the most discussed topics today. In this article, you will find a clear explanation, key facts, and the latest updates related to this topic, presented in a concise and easy-to-understand way. Read more news on Beritaja.

Three erstwhile DeepMind researchers who created an AI that hit humans astatine poker person now applied the aforesaid exertion to trading stocks — and the stake appears to beryllium paying off. Their Prague-based AI lab, EquiLibre Technologies, is now weighted astatine $500 cardinal aft raising an undisclosed-sum Series A, TechCrunch learned.

The information was led by Creandum, and, though the VC besides declined to disclose the size of the round, vice president Cameron Sellers confirmed that it was the largest azygous finance the patient “has ever made successful 1 spell into a company,” he told TechCrunch.

The communal denominator betwixt poker and Wall Street is that they are good suited for reinforcement learning, an AI training method wherever self-learning models are incentivized by rewards. According to Martin Schmid, EquiLibre CEO, “The bully point about trading and markets is that the scoring is ace simple: really overmuch money did the supplier make?”

This isn’t conscionable crippled money. In business with quant patient Tower Research Capital, EquiLibre’s algorithms person been trading billions successful regular measurement crossed the S&P 500 and NASDAQ. The startup claims its agents person been doing good since their rollout connected crypto markets successful 2025, and now connected banal exchanges, pinch “a cleanable grounds of zero antagonistic months since inception,” meaning they person vanished each period pinch their investments up overall.

By applying its AI to quant hedge funds, the startup is successful a section wherever automation is commonplace and, if successful, improvements could quickly move into cash. That made the startup appealing to Creandum, Sellers said.

“The imaginable full addressable marketplace of trading successful the financial markets is 1 of the biggest connected earth, and location are countless costs complete the years that person generated quantums of profit that make about venture-backed successes look small,” Sellers said. But he noted that EquiLibre explicitly defines itself arsenic “a laboratory first, not a finance firm.”

Schmid and his 2 founders — CTO Rudolf Kadlec and CSO Matej Moravcik — don’t person a inheritance successful finance, and it is not what drives them, he told TechCrunch. “I’m not doing this because I’m excited about making markets efficient. I’m doing this because we are each excited about building caller things that person ne'er been built before, and this is simply a batch of nosy to build,” Schmid said.

The imaginable of frontier AI by by DeepMind alumni is an area of basking pursuit by VCs arsenic well. Another caller specified illustration is Ineffable Intelligence, which precocious raised 1.1 billion. Most of these are based successful the U.K., but location are notable exceptions, including EquiLibre. 

In the lawsuit of EquiLibre’s founding trio, they were visiting PhD students astatine the Google-owned company’s first world AI investigation agency successful Edmonton, Alberta, Canada (which Alphabet shut down successful 2023.) While there, they built DeepStack, the first AI programme to conclusion pro players astatine no-limit poker, besides known arsenic Texas hold’em. They besides worked pinch professors who are now portion of the startup’s high-profile advisory committee — including Rich Sutton, who went connected to person the Turing grant successful 2024 for his activity connected reinforcement learning.

To build their startup, EquiLibre’s founders decided to move backmost to their location country, Czechia. “This is wherever we had a batch of group we had worked with, and location was a ample Czech diaspora astatine Google and different places,” Schmid said. “These were our friends, truthful we told them, “Hey, guys, we are moving backmost to Prague, do you want to subordinate us?”

That helped EquiLibre build its first squad backmost successful 2022 and scope its existent headcount of 25 people; but according to Schmid, that prime of location keeps paying dividends. Compared to San Francisco, “It’s overmuch easier to support the bully group here, because there’s not a caller sexy AI point happening each 2 months.”

Not that EquiLibre is the only basking AI startup successful town. BottleCap AI is based successful the aforesaid building.

Still, this is 1 of the much notable AI companies successful the region for talent. It adjacent plans to standard its compute infrastructure, bringing online what it expects will beryllium 1 of the largest compute clusters successful Central and Eastern Europe (CEE).

While the startup besides declined to disclose its full backing to date, Schmid said it antecedently raised 2 different backing rounds, pinch pre-seed backers including CEE-focused VC patient Credo, which besides backed ElevenLabs and UiPath. According to Dealroom data, Equilibre’s $10 cardinal seed information was led by Blossom Capital astatine a $140 cardinal valuation.

Sellers confirmed that the Series A $500 cardinal valuation was a large jump. But it besides comes aft the winds person changed favorably for reinforcement learning (RL), including successful trading. “When we started, group were skeptical,” said Schmid. But now RL is the standard. “Because we started 4 years back, we judge we are ahead.”

Still, location is simply a consequence that the startup will get leapfrogged by competitors. Trading elephantine Jane Street, for instance, states it already uses RL pinch LLMs, “or immoderate other we request to train bully models.” It besides claims it has “tens of thousands of high-end GPUs,” while EquiLibre is seeking to compression much compute retired of measurement less chips and “get much from less,” Schmid said.

Considering how profitable Jane Street is, EquiLibre will person to play its cards good successful bid to scope its extremity to beryllium known arsenic “the AI laboratory successful trading.” But this isn’t poker, and location mightiness beryllium nary losers. Says Schmid: “This is not a winner-takes-all market.”

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