Vertus announced it surpassed $1 billion in daily AI-driven trading transactions and delivered a 51.15% return in 2025, posting a Sharpe ratio of 2.13, as the company positioned its systems as a step forward for “machine reasoning” in live financial markets.
Vertus said the $1 billion single-day trading volume mark was first reached on November 25, 2025, and that its systems now regularly process daily transaction volumes at or above that level. The company also reported an average daily volume above $600 million. Vertus said its 2025 performance metrics were independently audited by Alpha Performance Verification Services, Certified Public Accountants, and that a verification report is available upon request.
Vertus framed the results as both an absolute outperformance versus broader equity markets and a risk-adjusted outperformance versus typical hedge fund benchmarks. The company cited an annual return of 51.15% compared with roughly 17% for the S&P 500 in 2025, and said its 2.13 Sharpe ratio exceeded what it characterized as a common range of 0.5 to 1.5 among leading hedge funds. The firm emphasized that the Sharpe ratio indicates returns were not the result of taking excessive risk, arguing that disciplined risk management was central to its approach.
The company said it developed and stress-tested its core systems in the Isle of Man, describing the jurisdiction as offering an environment suited to validating its technology under live market conditions. Vertus said what began as controlled experimentation has since moved into “production-grade” deployment, with its AI systems now used as a decision-making layer for a growing base of funds, family offices, and asset managers operating in high-velocity markets.
Looking beyond trading, Vertus said it intends to extend the same reasoning architecture into other high-stakes domains and into the computational infrastructure required for increasingly capable AI systems. The company described financial markets as an “unforgiving” proving ground—where errors are costly and decisions occur in milliseconds—and said it is using that real-world feedback loop to build systems it believes can generalize to other complex environments.
Vertus was founded by Julius Franck, Alex Foster, and Michal Prywata. The company said its technology underpins institutional trading infrastructure for professional investors today, while it pursues broader ambitions to develop autonomous reasoning systems for domains beyond finance.
KEY QUOTES:
“This milestone validates everything we built. We engineered a quantitatively backed system that thinks and acts at market speed—processing complexity, making decisions, and executing with precision that traditional algorithms simply cannot match. The independently verified billion-dollar threshold proves the architecture is performing exactly as designed.”
Julius Franck, Co-Founder, Vertus
“We’ve proven that advanced intelligence architecture outperforms decades-old algorithmic models. Financial markets were the perfect crucible—unforgiving, instantaneous, high-stakes. Our planned expansions put us at the center of the next wave: applying this reasoning power across autonomous systems and the computational infrastructure required for superintelligence.”
Alex Foster, Co-Founder, Vertus
“Financial markets are just the beginning. We built AI that learned to reason in an environment where mistakes cost millions and decisions happen in milliseconds. That same intelligence now powers capital at scale—and we’re rapidly expanding into domains that demand genuine machine reasoning. We’re not just building financial systems. We’re architecting the infrastructure for the next generation of intelligence.”
Michal Prywata, Co-Founder, Vertus
