EquiLibre Secures Series A at $500M+ Valuation to Scale AI Trading Agents
By Lauren Towner · 1 July 2026

Quick Summary
EquiLibre Technologies solves the challenge of market volatility for institutional trading by deploying AI trading agents powered by reinforcement learning. These autonomous models currently trade billions daily across the S&P 500 and NASDAQ, maintaining a perfect record of zero negative months since their 2025 launch.
How Does EquiLibre Use Reinforcement Learning for Trading?
EquiLibre Technologies leverages reinforcement learning agents to navigate the world's most competitive financial instruments. Unlike traditional algorithmic trading, these self-learning models treat the market as a continuous feedback loop where the verdict updates millisecondly. By applying techniques originally developed for DeepStack - the first AI to beat poker pros - the firm has successfully transitioned from crypto to traditional equities.
- Billions in daily volume traded across major US indices.
- Zero negative months recorded since the platform went live in early 2025.
- Frontier AI research applied to high-stakes, liquid financial markets.
What Will the $500 Million Valuation Funding Support?
The Series A capital, marking Creandum's largest investment to date, is primarily earmarked for scaling compute infrastructure. EquiLibre plans to bring online one of the largest compute clusters in Central Europe to increase model profitability and market reach. This AI trading agents expansion will allow the Prague-based lab to move into new asset classes and global territories.
- Massive compute clusters to power next-gen deep learning models.
- Talent acquisition from elite firms like DeepMind, Jane Street, and Google.
- Global market expansion beyond the S&P 500 and NASDAQ.
"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." said Martin Schmid, co-founder of EquiLibre.
Why is Prague Becoming a Hub for Frontier AI?
By establishing its headquarters in Prague, EquiLibre is positioning the region as a leader in applied AI research. The company attracts top-tier engineers by offering the opportunity to work on high-stakes feedback loops that define the future of finance. With backing from Turing award laureate Richard Sutton, the firm is bridging the gap between academic AI breakthroughs and real-world financial performance.
FF NEWS TAKE:
EquiLibre is not just another AI startup; it is a fundamental shift in how capital moves. By proving that AI trading agents can maintain a perfect monthly record while trading billions, they have moved past the 'hype' phase into pure utility. This $500M+ valuation signals that the industry expects reinforcement learning to eventually dominate all high-frequency environments. EquiLibre is effectively building the 'AlphaGo' of Wall Street.
Companies in this story: EquiLibre Technologies, G-Research, Google, Jane Street, Optiver, DeepMind, Creandum
People in this story: Richard Sutton, Martin Schmid, Cameron Sellers