What We Do

Mesonomics is a UK-based technology start-up. We use blockchain-based transactional data to analyse market activities and develop predictive modelling.

Our modelling allows clients to:

  • Better understand behaviours in these markets

  • Develop models that can be applied to other related markets

  • More efficiently invest – maximising returns and exploring new opportunities.

We provide consultancy and are developing products in the following areas:

  • Blockchain

  • Data analytics

  • Networks

The Team

Dr Steve Phelps
Co-founder and Chief Technology Officer

Dr. Phelps has over ten years commercial software-development and R&D experience working with blue-chip companies, SMEs, and start-ups.

He has a proven scientific track-record in the area of computational finance.

He is an associate of Fitch-Learning, and provides training on machine-learning and data-science to practitioners in the financial services sector on Fitch’s flagship Certificate in Quantitative Finance (CQF) programme.

He is a full-stack developer, and actively contributes to the open-source software community.

Dr Kiran Kalidindi
Co-founder and Chief Scientific Officer

Dr. Kalidindi has over five years of experience as a data scientist and four years of experience as a technical business analyst within derivatives trading, with a strong record of project delivery.

He has developed and implemented machine learning solutions, one of which has been instrumental in delivering $18 million revenue for a blue-chip company.

He has published papers applying machine learning and statistical methods to test hypotheses about human decision making and medical treatments.

Scientific Advisor Board

Mesonomics’ scientific advisory board consists of the top scientists in the fields of Artificial Intelligence and Computational Finance.

Professor Dave Cliff, Bristol University

Professor Dave Cliff is the inventor of the seminal “ZIP” trading algorithm, one of the first of the current generation of autonomous adaptive algorithmic trading systems, which was demonstrated to outperform human traders in 2001 by IBM.

He has spent roughly half his career in industry: initially for Hewlett-Packard Labs, where he was Department Scientist; and latterly for Deutsche Bank London, where he was a Director/Trader in their Foreign Exchange Complex Risk Group.

Professor Michael P. Wellman, University of Michigan

Michael Wellman is Professor of Computer Science & Engineering at the University of Michigan.

For the past 25 years, his research has focused on computational market mechanisms and game-theoretic reasoning methods, with applications in electronic commerce, finance, and cyber-security.

As Chief Market Technologist for TradingDynamics, Inc., he designed configurable auction technology for dynamic business-to-business commerce.

Professor Mike Wooldridge, Oxford University

Professor Mike Wooldrige is head of the Computer Science department at Oxford University.

He is is one of the foremost scientists in the field of AI, having published more than three hundred articles on the theory and practice of autonomous agents and multiagent systems.

As Chief Market Technologist for TradingDynamics, Inc., he designed configurable auction technology for dynamic business-to-business commerce.

Find out more

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