Founder & CEO of Matta - a startup building AI to manufacture the impossible, leveraging the latest AI research and intelligence to digital manufacturing to ultimately change how humans make things. Completed my PhD at the University of Cambridge on "Learning AI 3D Printers" in the Complex Additive Materials Group (CAM Group) in the university's Department of Engineering. I graduated with 1st Class Honours in Electronic & Information Engineering from Imperial College London with the Governors' Prize for the outstanding student. Previously, I was an Ash Music Scholar on the recorder at the Royal College of Music and a recipient of the Royal Commission for the Exhibition of 1851 Industrial Design Fellowship.
ContactFounder & CEO of Matta – a startup building AI to manufacture the impossible, leveraging the latest AI research and intelligence to digital manufacturing to ultimately change how humans make things.
Completed my PhD at the University of Cambridge on “Learning AI 3D Printers” in the Complex Additive Materials Group (CAM Group) in the university’s Department of Engineering. I graduated with 1st Class Honours in Electronic & Information Engineering from Imperial College London with the Governors’ Prize for the outstanding student. Previously, I was an Ash Music Scholar on the recorder at the Royal College of Music and a recipient of the Royal Commission for the Exhibition of 1851 Industrial Design Fellowship.
Matta creates AI copilots for advanced manufacturing that automate machines throughout the factory to improve quality, yield, and unlock new design possibilities.
AI, Deep Tech, Software, B2B, Advanced Manufacturing, University Spin-out
$230k in convertible instruments, $700k in grants (UK version of SBIR/STTR)
Head office in Old Street, London, UK | Research in Cambridge, UK
The latest advanced manufacturing technologies hold tremendous potential, unlocking exciting new design and production capabilities, but the controls and expertise required to leverage them are not in place. The sector is plagued by high failure rates, unplanned downtime and an ever-wideneding skills gap. In the additive manufacutring space alone, an estimated $2B is wasted each year on manufacutring errors.
Unlike our competitors, our AI can can detect and correct errors in objects it has never seen before, made with unseen machines, materials, and even manufacturing processes.
Since founding in Nov 2022: built MVP, secured 2 pilots & 5 companies in pipeline ($200k ARR), and won $700k in government funding. Viral AI demo with 2M views, 300+ waitlist users, filed patent, 3 peer-reviewed papers in journals like Nature Comms.
Early-stage investors (Angels, VCs, seed-stage) with an interest in and track-record of accelerating the growth of deep tech, AI, and manufacturing companies.
Manufacturing professionals to help us truly understand the myriad of pain-points faced by the sector.
Potential customers: users of advanced manufacturing technologies like: extrusion 3D printing, robotic welding, CNC machining etc.