EquiLibre Technologies, founded by three former DeepMind researchers who built a poker-beating AI, has pivoted their reinforcement learning technology to the financial markets, generating billions in daily trading volume and achieving a flawless track record of positive months since inception.
- EquiLibre applies poker AI tech to stock market trading with reinforcement learning.
- Partners with Tower Research Capital to trade billions daily on S&P 500 and Nasdaq.
- Raised a record Series A led by Creandum, reaching $500 million valuation.
What happened
EquiLibre Technologies, an AI startup founded by three ex-DeepMind researchers, successfully transitioned their poker AI technology into the domain of financial trading. By using reinforcement learning, the company designed algorithms that have been consistently profitable since their launch in 2025, first in cryptocurrency markets and now across stock exchanges such as the S&P 500 and Nasdaq. The startup has partnered with Tower Research Capital, a leading quant trading firm, to handle billions of dollars in daily trading volume leveraging their AI agents.
Recently, EquiLibre closed a Series A funding round led by the European venture capital firm Creandum. This round, whose exact size was undisclosed, represents Creandum’s largest-ever single investment in one company. With this capital infusion, EquiLibre’s valuation reached approximately $500 million, underscoring strong investor confidence in the startup’s approach to AI-driven trading and its market potential.
Why it matters
EquiLibre’s evolution from a poker-focused AI lab into a driving force in quantitative finance highlights the versatility and growing economic impact of reinforcement learning technologies. Unlike other AI applications, trading algorithms can be directly measured by their financial returns, offering clear feedback loops for continual optimization. EquiLibre’s reported streak of zero negative months demonstrates the robustness of their AI in volatile markets and its practical utility beyond research prototypes.
The company’s rapid ascent also reinforces the interest of venture capitalists in frontier AI developed by alumni of leading research labs like DeepMind. The combination of DeepMind expertise, reinforcement learning advancements, and close collaboration with established quant firms creates a powerful foundation that could accelerate the automation and sophistication of financial markets. Furthermore, with headquarters in Prague, EquiLibre highlights Central and Eastern Europe’s growing role in AI innovation and fintech.
What to watch next
EquiLibre plans to scale up its computing infrastructure to build one of the largest AI compute clusters in Central and Eastern Europe. This expansion will support more complex models and higher trading volumes, potentially increasing their market impact and revenue generation. The company’s continued growth will be an important indicator of the scalability and sustainability of AI-driven strategies in high-frequency and quantitative trading.
Investors and the broader financial technology community will also watch how EquiLibre balances its identity as a research-focused AI lab with its commercial ambitions in the finance sector. Its partnerships with firms like Tower Research Capital will be critical to integrating and adapting AI models in live markets. Additionally, competition from other AI startups leveraging reinforcement learning in finance will shape the dynamics of this emerging niche.