The Next Generation of Algorithmic Trading

Frontier AI Trading Research Lab.

EquiLibre is building reinforcement learning based AI trading systems that learn, adapt, and compete at the highest level. We are at the very frontier of AI research in trading - our models trade billions of dollars every day on the world's most challenging markets.
Explore Our Technology ›› Open Positions
Our Approach
From poker AI to Wall Street
It all started with DeepStack - the first AI to beat humans in no-limit poker. Now we're applying those same principles where the stakes are much higher.
Reinforcement Learning

Reinforcement Learning

Self-learning agents that learn to trade just like they would learn to play poker, chess or go - finding strategies humans would never discover.

Trading

Trading

No sales, no marketing, no bullshit. Our success is all about the quality of the models and algorithms we develop. We trade on the world's most challening markets, making the world more efficient place.

Continual Learning

Continual Learning

The world constantly changes, and so must our agents. Our agents need to adapt quickly to the ever changing environment and other market participants.

Founders
World-class AI researchers and engineers
Our team is a great mix of people coming from big tech AI labs, top tier trading companies, and academic research labs. We are all builders and dreamers, team who enjoys working together on challenging problems.
Martin Schmid, Ph.D.

Martin Schmid, Ph.D.

CEO & Co-Founder
Ph.D. in algorithmic game theory. Previously project lead and senior research scientist at DeepMind, project lead and research scientist at IBM. Co-author of DeepStack and Player of Games.
Matej Moravcik, Ph.D.

Matej Moravcik, Ph.D.

CSO & Co-Founder
Ph.D. in algorithmic game theory. Previously research scientist at DeepMind, research scientist at IBM. Co-author of DeepStack and Player of Games.
Rudolf Kadlec, Ph.D.

Rudolf Kadlec, Ph.D.

CTO & Co-Founder
Ph.D. in episodic memory modeling. Previously tech lead and senior research engineer at DeepMind, senior research scientist at IBM. His work at IBM dealt with neural language modeling, and is referenced by the GPT family. Co-author of Player of Games.
Advisory Board
Guided by pioneers in AI
Our advisors include some of the most influential researchers in reinforcement learning, game theory, and artificial intelligence.
Prof. Rich Sutton

Prof. Rich Sutton

Turing award laureate and one of the founding fathers of reinforcement learning. Previously distinguished research scientist at DeepMind, currently professor of computing science at the University of Alberta.
Prof. Michael Bowling

Prof. Michael Bowling

Previously site lead & research team lead of the Edmonton DeepMind office. Currently professor at the University of Alberta. Under his lead, the Computer Poker Research Group published two ground-breaking papers in Science.
Prof. Csaba Szepesvari

Prof. Csaba Szepesvari

Lead of the reinforcement learning theory team at DeepMind. Professor at the University of Alberta. Principal investigator at Alberta Machine Intelligence Institute. World expert on bandit and reinforcement learning algorithms.
Prof. Michal Pechoucek

Prof. Michal Pechoucek

Previously Chief Technology Officer at Avast technologies, the world's largest antivirus company. Currently president of the Czech Technical University in Prague.
Murray Campbell

Murray Campbell

Distinguished Research Scientist at IBM Research. Co-author of Deep Blue, the first computer to defeat a world chess champion (Garry Kasparov).
Our Office
Based in Prague, one of Europe's most beautiful cities
We chose Prague as our home — a city where centuries of history meet a thriving tech scene, world-class talent, and an unbeatable quality of life.
Prague Castle skyline at dusk Prague Charles Bridge Prague Old Town rooftops

A city built for deep work. Prague consistently ranks among the top cities in Europe for quality of life, safety, and affordability. Its compact size, excellent public transport, and vibrant café culture make it the perfect place for a team that values focus and collaboration.

World-class technical talent. Prague attracts the best technical talent from the region. Local universities then produce exceptional mathematicians, computer scientists, and engineers.

At the heart of Europe. Less than hours from London, Paris, Berlin and Vienna by air, Prague sits at the heart of Europe.

A growing tech hub. Central europe has become a vibrant and growing startup ecosystems, mixing strong local talent with experienced professionals moving from all over the world.

Contact
Get in touch
Hiring hiring@equilibre.ai
General Inquiries schmid@equilibre.ai
Join Us
Help us build the future of trading
We're a team of researchers and engineers who love hard problems. If you want to work at the intersection of AI and finance, we'd love to hear from you.
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