One founder. One engine. Institutional grade.
Axiom Capital was founded on a simple belief — that systematic, AI-driven trading should not require a 50-person quant team or a billion-dollar infrastructure budget.
We are building a proprietary trading engine that combines the signal intelligence of institutional quant funds with the speed and agility of a solo, AI-native operation.
Every decision is data-driven. Every trade is rules-based. Every risk is controlled.
"I built the system I wished existed — institutional-grade, AI-native, and fully autonomous."
Soumya Dasgupta is a Doctor of Philosophy (PhD) in Systems and Control and Senior Machine Learning Engineer with over 8 years of production AI experience across financial services, healthcare, and government.
At Aviva, he built predictive models operating on a £13.04 billion pension portfolio. At Deloitte, he delivered over £1 million in client value through data-driven strategies across major financial institutions. He currently serves as an AI Developer at the UK Civil Service, designing large-scale ML and data engineering systems.
A DAAD Fellow and published researcher, Soumya brings rare depth to Axiom Capital — combining academic rigour in control systems with real-world experience building models that operate at institutional scale.
Axiom Capital is the convergence of that career — a proprietary trading engine built from first principles, fusing NLP, macroeconomic regime detection, and quantitative signal logic into a single autonomous system.