EquiLibre Technologies announced the closing of its Series A funding round at a valuation of more than $500 million. The round was led by Creandum, and the company plans to use the capital to scale compute infrastructure, expand into more markets, and grow its team of researchers and engineers.
EquiLibre is a Prague-based frontier AI trading research lab applying reinforcement learning to financial markets. The company builds AI agents that trade billions of dollars across financial markets daily.
The company was founded in 2022 by three former DeepMind researchers and members of the team behind DeepStack, the first AI system to defeat professional players at no-limit poker. EquiLibre was created with the goal of applying self-learning AI more broadly, before reinforcement learning-trained reasoning models became a major focus across the AI industry.
EquiLibre first proved its technology in crypto before transitioning into traditional financial markets. The company said it went live in early 2025 and became the first company to deploy reinforcement learning agents live on some of the world’s largest and most competitive financial instruments.
The company said its agents now trade billions of dollars daily and have never had a negative month. EquiLibre plans to use much of the new funding to scale its compute infrastructure and bring online one of the largest compute clusters in the region.
The expanded compute capacity is expected to help the company improve model profitability and expand across additional products and markets. EquiLibre is also hiring researchers and engineers at its Prague headquarters over the coming months.
The company’s small team includes researchers and engineers from DeepMind, Google, Jane Street, G-Research, and Optiver. Its early backers include Richard Sutton, a Turing Award laureate widely regarded as a founding figure in reinforcement learning.
Sutton also sits on EquiLibre’s advisory board. The company’s advisory board also includes one of the authors of Deep Blue, the first computer to beat the reigning world chess champion, along with other AI leaders.
EquiLibre said it aims to build a global AI trading company from Prague. The company’s approach focuses on applying reinforcement learning in markets where feedback is immediate, measurable, and highly competitive.
KEY QUOTES:
“Trading is one of the few fields where technology is the entire game. There’s no sales cycle, and no marketing spend can rescue a weak product. The market is the judge, and the verdict updates every millisecond. That’s what drew us to the problem, and it’s why reinforcement learning is such a natural fit. The question is no longer whether this approach works. It’s how big it can get. We’ve proven the technology in the world’s biggest and most liquid markets.
We want to build a global business from Prague. We are by far the most exciting company working on the frontier of applied AI research here, and this allows us to attract and retain amazing talent. Our ambitions are global, and we aim to build the world’s leading AI trading company.”
Martin Schmid, Co-Founder of EquiLibre
“This is the largest investment we have ever made, showing the belief that we have in the future scaling of the technology. EquiLibre is doing what the best frontier labs do: picking a domain where the feedback loop is brutal and honest, and letting the technology speak for itself. Martin and the team have proven the approach in the hardest possible environment. We’re thrilled to back them as they scale.”
Cameron Sellers, Vice President at Creandum
