EquiLibre Technologies, a Prague-based AI lab developing reinforcement learning trading agents for stocks and other financial markets, has raised an undisclosed Series A round led by Creandum. TechCrunch reported that the company is valued at $500 million following the financing.
Founded by former DeepMind researchers, EquiLibre is building AI trading systems that learn and adapt in fast-moving market environments. The company says its agents are already handling billions of dollars in daily trading volume through a partnership with Tower Research Capital.
The startup’s work builds on research roots in game-playing AI, including systems designed for complex decision-making under uncertainty. EquiLibre is now applying those reinforcement learning techniques to trading, where models must respond continuously to changing conditions and competing market participants.
The new capital will be used to expand the company’s compute infrastructure. EquiLibre plans to bring online what it expects will be one of the largest compute clusters in Central and Eastern Europe as it scales research and deployment.
Founded by former DeepMind researchers, EquiLibre is building AI trading systems that learn and adapt in fast-moving market environments. The company says its agents are already handling billions of dollars in daily trading volume through a partnership with Tower Research Capital.
The startup’s work builds on research roots in game-playing AI, including systems designed for complex decision-making under uncertainty. EquiLibre is now applying those reinforcement learning techniques to trading, where models must respond continuously to changing conditions and competing market participants.
The new capital will be used to expand the company’s compute infrastructure. EquiLibre plans to bring online what it expects will be one of the largest compute clusters in Central and Eastern Europe as it scales research and deployment.