MechaniX unlocks the true potential of A.I. with synthetic data generation.
In the world of AI, data is fuel. Lack of datasets is the major development obstacle for deep learning systems due to the extremely high cost involved for the collection and annotation of real-life data.
MechaniX specializes in the generation of synthetic training data. We provide data that’s hard to collect, expensive to label or sometimes even impossible to replicate in real-life. This enables companies to train mission critical AI systems with 20% better sample performance at a lower cost.
By now, we have secured two paid pilots, with a hedge fund and a proprietary trading firm. We are also in early talks with a CTA fund, one of the world’s largest hedge funds and have 4 more LOIs in the pipeline.
Thomas Yue completed his PhD in Computational Physics at University of Nottingham, where he specialised in meshfree numerical simulations. Using simulation skills, he has developed a career in algorithmic trading as a strategist and was the CIO of a Fintech robo-advisor while lecturing at Hong Kong Open University.
Au Chi Chiu (David) has an MSc in Financial Mathematics and Statistics and a BEng in Computer Science both from HKUST. He began his career in Deutsche
bank and worked as a strategist at high frequency trading firm. He has more than a decade of in depth experience in applying machine learning for trading strategies development.