Our Organisation

The Company

Founded on ancient philosophy, modern science, and the technology of the future

We believe that we can help create a healthier, more sustainable human environment by applying the lessons we are learning from building some of the world’s most successful high- and medium-frequency trading systems to a wider range of data sets.

We call the new science – built on the foundation of quantitative finance, algorithmic trading, machine learning (ML), deep learning (DL), artificial intelligence (AI), reactive programming, and big data – neocybernetics.

The Level39 member fintech Thalesians Ltd are a neocybernetics company using the new science and technology to revolutionise finance, insurance, transportation, shipping, and medicine in the United Kingdom and worldwide.

We do this by implementing real-time ML/AI software for neocybernetic systems, providing education, and consulting services.

We are experts in the application of ML/AI techniques to time series data, particularly Big Data and high-frequency data. Our areas of expertise also include the mathematics of ML/AI, Deep Learning (DL), Python, and kdb+/q.

The company was founded on 11 March, 2009, by Dr. Paul Bilokon, Prof. Matthew Dixon, and Saeed Amen, leading experts in quantitative finance, ML, and AI.

The Community

The Thalesians are a bridge between the scientific and technological communities around the world

The Thalesians have hosted more than 250 seminars and workshops around the globe. Through the efforts of Attila Agod, Saeed Amen, Paul Bilokon, Matthew Dixon, Swati Mital, Pavel Motuzenko, Jan Novotny, Joerg Osterieder, Jochen Papenbrock, Hans-Peter Schrei, Peter Schwender, Harvey Stein, Richard Warnung, Adrian Zymolka and others, the Community has reached a truly global scale, counting over 3,000 members in Budapest, Franfurt, Lisbon, London, New York, Paris, and Prague.

The Thalesians’ seminar speakers have included some of the most famous names in machine learning, electronic trading, quantitative finance, and mode broadly, mathematics, computer science, engineering, finance, economics, and psychology.

Sophie Bismuth explaining quantum computing at a Thalesian seminar at City University Club in the City of London