Founded by three former DeepMind researchers, the Prague AI lab EquiLibre Technologies recently completed its Series A funding round, with a valuation of $500 million. This round was led by Creandum and has been confirmed as its largest single investment to date.

EquiLibre focuses on applying reinforcement learning (RL) technology to financial trading and has already partnered with quantitative investment company Tower Research Capital. Its algorithmic agents execute billions of dollars in daily transactions on the S&P 500 and Nasdaq indices. Since entering the cryptocurrency market in 2025, the company has maintained a monthly record of zero losses and has successfully expanded its operations to traditional stock exchanges.

The core team of EquiLibre is legendary. Founders Martin Schmid, Rudolf Kadlec, and Matej Moravcik previously led the development of the first AI program, DeepStack, that defeated human professional players in no-limit Texas Hold'em while working at the Alberta Artificial Intelligence Research Office under Alphabet (which closed in 2023). The team also has strong academic backing, with members of its advisory board including 2024 Turing Award winner and reinforcement learning pioneer Rich Sutton.

Despite competition from industry giants like Jane Street, which have tens of thousands of GPUs, EquiLibre is committed to extracting more computing power from fewer chips and plans to launch one of the largest computing clusters in Central and Eastern Europe. Previously, the company received a $10 million seed round led by Blossom Capital, with a valuation of $140 million. As reinforcement learning gradually becomes an industry standard in quantitative trading, EquiLibre, leveraging its early technological expertise, is accelerating the industrial application of AI decision-making from game theory to the world's top financial markets.