Bloomsbury AI automates customer care and advice. Our AI reads background documents and any additional information, and then automates answers (with explanations) to customer questions. Questions that the AI can’t answer are passed on to a Human.

The founding team are world experts in Machine Learning and  have over 60 patents and 200 peer reviewed publications.

Guillaume Bouchard completed his PhD in statistics from INRIA. He has 15 years experience at Xerox Research and UCL in machine learning and NLP.

Luis Ulloa is a prize winning research engineer. He created the optimisation and machine learning algorithms and IP behind two of the most profitable projects at Xerox Research.

Calipsa is building a Deep Learning based cloud platform to automate traffic surveillance, monitoring and data collection. Our technology transforms existing IP cameras into smart cameras allowing them to classify what is on the road. Currently, these tasks rely entirely on human operators which is both inefficient and expensive.

Rashid Khan has a Master’s in Machine Learning from the University of Cambridge. Rashid has extensive industrial experience ranging from consulting to tech startups. He has worked at Symantec, Accenture and Wonga over the past five years.

Boris Ploix has a degree in Applied Mathematics from Imperial College. He spent the last 3 years working in the transport industry at the French Ministry of Transport and Transport for London. He worked on several data analytics projects during his time there.

LEORIX manages infrastructure for high-frequency data pipelines.

Instead of paying for hundreds of developer hours to build complex custom solutions, companies can be up and running in days. Currently, the back-end stacks of data streaming applications require multiple platforms and a different set
of experts. Businesses today spend $72B per year to build efficient systems.

We designed LEORIX to solve this problem. Now, companies can save time and money because they don’t need to pay specialised developers to build the pipelines from scratch. So far, we have partnered with several leading cloud providers in Southeast Asia.

Thana Kuganesan built and exited his tech startup SparkGrid in Sri Lanka and scaled it from 2 to 15 employees in 2.5 years by bootstrapping as CEO. He is a computer science engineer from the University of Moratuwa and was a back-end engineer for robotics and multiplayer game applications for 7 years.

Sri Kuganesan has a Master’s in distributed systems at KTH-Sweden. He has 12 years of industrial experience and is a core member of Hadoop Distributed Platform. He specialises in data streaming and has worked at Spotify and Ericsson for 4 years. He owns 2 provisional patents for data distribution and compression techniques.

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.