Catalyst AI emerged from the world renowned Computer Science and Technology Department at the University of Cambridge. By leveraging the expertise of professors, postdocs and PhDs from leading research institutions, the Catalyst Engine brings the latest in artificial intelligence and data science to industry.
Our machine learning platform, allowing you to build AI-powered solutions quickly and efficiently.
AI is quickly becoming a business-critical capability and source of competitive advantage in many industries. The Catalyst Engine allows you to unlock opportunities from data, optimise processes and improve decision making across your business.
We offer end-to-end development of bespoke AI software, delivering scalable, enterprise grade applications. Our team can
We advocate co-development where possible and ensure maximum knowledge transfer so you can build your in-house capabilities over time.
Predicted the directional shift in oil prices using signal from Twitter 
Developed a deep learning model to automatically grade essays 
Used reinforcement learning to create automated tutors for language learners 
Forecasted the success rate of marketing campaigns 
Built deep learning based intrusion detection systems 
Created a language model that understands cryptocurrency jargon 
Modelled trading behavior in the blockchain 
Predicted potato yields based on seasonal and historical data 
Raymond CEO Technology entrepreneur and engineer. Previously CEO of Ventoura - Best Mobile Service Finland 2015. MPhil at the University of Cambridge in Engineering. 
Ahmed CTO AI researcher. PhD and MPhil from the University of Cambridge in Computer Science. Previously at Accenture Strategy designing and implementing technology solutions for major multinationals. 
Evan Principal Software Engineer Full-stack developer. Excellent track record of developing secure, scalable architectures. BSc from Monash University, Australia in Computer Science and Mathematics. 
Marwa Research Consultant AI researcher. Fellow at King’s College, Cambridge. Affiliated Lecturer at the Cambridge Computer Laboratory Graphics and Interaction Group. PhD at the University of Cambridge in Computer Science. 
Muntazir Research Scientist Mathematician. PhD and MASt from the University of Cambridge in Applied Mathematics. Member of the Stephen Hawking Centre for Theoretical Cosmology, Cambridge. Previously a Lecturer at the Karachi Institute of Technology and Entrepreneurship. 
Alex Research Scientist Cybersecurity researcher. PhD and MPhil from the University of Cambridge in Computer Science working with Professor Ross Anderson. Previously a financial analyst at KPMG. 
Wenchao Software Engineer Full-stack developer with global entrepreneurial experience. Formerly consulted for Baidu. BEng from Griffith University, Australia in Computer Science. 
Talal Legal Legal Assistant. Ensuring efficient handling of industry specific intellectual property and contractual matters. BA from Birmingham University and GDL and LPC from BPP London. 
Thibaut Research Scientist AI researcher. Postdoc at Imperial College, PhD in Computational Statistics at the University of Oxford with Professors Teh and Doucet, MASt Mathematics at the University of Cambridge. Previously at Alan Turing Institute, MIT, CERN and Amazon. 
Wilson UI/UX Designer BA in Fine Arts at Australian National University, Diploma from Academy of Interactive EntertainmentDesigner at VisualDNA (acquired by Nielsen) working with Google, McDonalds, Spotify and more. 
Ted Advisor Professor of Computational Linguistics at the University of Cambridge, inaugural Director of the ALTA Institute. Has published over 100 research articles and three books on automated speech and language processing. Also a successful entrepreneur, spinning out SwiftKey (acquired by Microsoft) and iLexIR. 
Damien Research Consultant AI consultant. PhD, MPhil in Machine Learning and Bioinformatics from the University of Cambridge. MSci in Computer Science and Applied Mathematics from École polytechnique (X), France. Previously at the Stanford Linear Accelerator Centre and IBM Research. 
Much of the world’s top AI talent is locked away in universities and major tech corporations, but thousands of other businesses can also benefit from applied AI. We believe in democratising AI by making it available to the many, not the few.
Building an internal AI capability is time-consuming, high risk and expensive. Catalyst AI removes these barriers and delivers you the benefits of AI in the shortest possible time.
Would you like to explore how AI can be applied to your organisation? Please do get in touch.
