AI stock trading startup EquiLibre has raised new funding at a valuation above $500 million, marking a big jump for the Prague-based company. The startup, founded by three former DeepMind researchers, builds AI systems that use reinforcement learning to trade stocks and other assets.
EquiLibre’s latest Series A was led by Creandum, according to reports. The firm did not disclose the exact amount raised, but it said the deal was its largest single investment in one company so far.
The startup’s trading algorithms are already being used at scale. In partnership with quant firm Tower Research Capital, EquiLibre says its models have traded billions of dollars in daily volume across the S&P 500 and Nasdaq. The company also claims its agents have had a “perfect record of zero negative months since inception,” though that statement comes from the startup itself.
The new valuation is a sharp rise from earlier funding. Dealroom data shows EquiLibre previously raised a $10 million seed round led by Blossom Capital at a $140 million valuation. That means the company’s worth has more than tripled since its earlier stage, showing strong investor interest in AI-driven trading tools.
The deal also reflects a larger trend in markets. Investors are backing AI infrastructure and software that can handle complex financial decisions, especially after the success of reinforcement learning in games like poker and trading-style environments. EquiLibre’s founders believe the same methods can help machines make better stock-picking decisions over time.
FAQs [Frequently Asked Questions]
1. What does EquiLibre do?
EquiLibre builds AI trading systems that use reinforcement learning to buy and sell stocks and crypto with help from market data.
2. Who led the funding round?
Reports say the Series A was led by Creandum, which called it its biggest single investment in one company.
3. Why is this funding important?
It lifts EquiLibre’s valuation above $500 million and shows rising investor confidence in AI tools for stock trading and quantitative finance.