Three ex-DeepMind researchers have turned their AI expertise from poker tables to financial markets. Their startup, EquiLibre Technologies, recently hit a $500 million valuation after securing a Series A round that Creandum, a European venture capital firm, called their largest single investment ever.<\/p>\n
The team previously developed an AI that mastered poker, a game requiring bluffing and probabilistic thinking. Now, they’re using similar reinforcement learning techniques to navigate stock markets, where uncertainty and strategic decision-making are equally critical.<\/p>\n
Reinforcement learning trains models by rewarding desired outcomes. In poker, the reward was winning hands; in trading, it’s profit. This approach allows systems to learn complex strategies without explicit programming.<\/p>\n
While the exact size of the Series A remains undisclosed, Creandum’s involvement signals strong confidence. The firm’s VP Cameron Sellers described it as their biggest single investment, highlighting the potential of AI-driven finance.<\/p>\n
EquiLibre plans to expand its trading algorithms and partner with quantitative hedge funds. The company hasn’t revealed specific clients, but the valuation suggests significant traction in a competitive space.<\/p>\n
The success of EquiLibre underscores how AI research from gaming and academia can translate into real-world profits. As markets grow more complex, firms leveraging advanced machine learning may gain an edge.<\/p>\n
For now, the DeepMind trio is proving that the same principles powering AI breakthroughs can also power billion-dollar valuations.<\/p>","protected":false},"excerpt":{"rendered":"
Three former DeepMind researchers who built an AI that beat humans at poker are now applying the same technology to trading stocks. Their Prague-based lab, EquiLibre Technologies, has reached a $500 million valuation after a massive Series A round led by Creandum.<\/p>","protected":false},"author":0,"featured_media":163229,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"googlesitekit_rrm_CAowl-PACw:productID":"","footnotes":""},"categories":[1103],"tags":[3002,15880,15878,15877,15872,15873,15875,15874,15876,15879],"class_list":["post-163228","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology-en","tag-ai","tag-ai-in-finance","tag-algorithmic-trading","tag-creandum","tag-deepmind","tag-equilibre-technologies","tag-quantitative-hedge-funds","tag-reinforcement-learning","tag-series-a-funding","tag-tech-startup"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\n\t\t