EquiLibre Technologies, a frontier AI trading research lab applying reinforcement learning to financial markets, announced the close of its Series A round. The Prague-based startup, founded by three former Google DeepMind researchers, builds AI agents that trade across the Nasdaq.
The round was led by Creandum, reportedly its largest investment to date. The company's valuation exceeds $500 million (€438 million according to EU-Startups). The majority of the capital will go toward scaling its AI trading agents, which already handle billions of dollars in daily volume.
EquiLibre operates at the intersection of AI research and high-frequency finance. Its founders previously built an AI that beat professional poker players, and the firm now competes with other quantitative trading shops and AI-native hedge funds. The size of the round signals strong investor appetite for AI-driven finance.
This funding marks a significant signal for European AI startups. A $500M-plus pre-revenue valuation for a Prague-based lab suggests investors are betting heavily on reinforcement learning in financial services. The deployment of AI agents on public markets is likely to accelerate, raising questions about market stability and regulatory oversight.
EquiLibre's founding team brings deep reinforcement learning expertise from DeepMind. The company has declined to disclose detailed financial metrics or name additional investors, adding some uncertainty about the true market traction behind its lofty valuation. At such a premium, the firm faces pressure to deliver consistent profitable trading strategies.