About Ryelore Ai

We are a team of dedicated technical and finance personnel with strong academic and professional backgrounds. UK-based

Artificial intelligence products require sophisticated algorithms that mimic the human brain. Large quantities of data and performance computing are required to train algorithms. Those adopting Ryelore Ai will see powerful insights at reduced cost and benefit from our developments and industry changes in coming years.

This means even more computing power and algorithms doing ever more complex work with richer and more complex data from a greater number of sources including Internet of Things. This will in return mean more informed decisions that achieve more success for the early adopters. Late adopters risk getting left behind.

Artificial intelligence has become pervasive, informing successful investment decisions

  • Algorithms



  • AI products become simpler to build


    AI products become simpler to build

    More satellites, higher resolutions, more coverage and live video

  • Significant increases in computing power


    Significant increases in computing power

    Drone technology matures

  • 2020

    'Internet of things' better connects the world

  • Extremely sophisticated algorithms


    Extremely sophisticated algorithms

    Exponential increases in rich complex data

The team

  • Max Diébold

    Conservatoire National des Arts et Métiers MSc Mathematics and Statistics, CNAM - ESSEC MSc Market Finance & Capital management, EPITA MSc Computer Science

    Ex-Credit Agricole CIB, Reuters, Societe Generale

  • Oliver Hill

    University of Southampton
    BA Law & Politics

    Ex-IAC, Ask.com, BT

  • Niannan Xue

    Imperial College London PhD in Computer Science, University of Cambridge Masters in Mathematics, University of Cambridge BA Hons Experimental and Theoretical Physics

    Deep learning researcher

  • Vladimír Tomeček

    MSc Computer Science Comenius University in Bratislava, Kaggle competition winner Draper Satellite Image Chronology

  • Anu Chandra

    London Business School MBA, Edinburgh University BSc Hons Computer Science, Solomon Smith Barney prize

    Ex-Nokia, Bain & Company

  • Charlotte Werger

    Economics PhD, European University Institute,
    Fulbright Scholar, MSc Economic Theory and Econometrics Toulouse School of Economics, MSc Economics Wageningen University

    Ex-Blackrock, Man AHL

  • Senthil Purushwalkam

    MS in Robotics Carnegie Mellon University, Bachelor of Technology Indian Institute of Technology (IIT) Guwahati, Honda Young Engineer and Scientist Award

    Deep learning researcher

  • Salman Allana

    MBA Imperial College Business School, BA Political Science and Economics University of British Columbia


  • Tzuta Lin

    MS Electrical Engineering National Taiwan University, BA Electrical Engineering, National Central University

    Ex-Asus, Nvidia, HTC

  • Ivan Partsianka

    MS Applied Mathematics and Computer Science St. Petersburg State University, Belarusian Republic Mathematical Olympiad prize

    Ex-Radium One, Merchenta

  • Hashir Sherwani

    University College London PhD Resource Management in Cognitive Networks, King's College London BSc Electronics Engineering

    Ex-Man AHL

  • Amit Tewari

    MSc Machine Learning Royal Holloway University of London, Bachelor of Technology Uttar Pradesh Technical University

    Ex-Dell, Graphnile

Selected partners