Machine Discovery, an Oxford, UK- and Santa Clara, CA-based software company which uses machine learning technology to accelerate compute-intensive optimisation and simulation tasks, raised £4.5M in funding.
The round was led by BGF, and East Innovate, alongside Foresight WAE Technology Funds, UK Innovation and Science Seed Fund (UKI2S), independently managed by Future Planet Capital (Ventures) Ltd, and Oxford Technology.
The company intends to use the funds to grow its engineering and business development teams in the UK and the USA, driving commercial adoption of its technology across the semiconductor design space and in other markets.
Led by CEO Bijan Kiani, and and Non-Executive Chair Janet Collyer, Machine Discovery provides an AI platform that offers the ability to manage complex collaborative projects across large teams, with a high number of simulation runs. Its novel emulation technology creates, from conventional simulation outputs, neural- network-based models for real-time prediction and its optimisation engine uses AI algorithms for optimisation and sampling and combines simulation and neural-network model outputs to enable the exploration of large design space at speed.
Machine Discovery was spun out of the University of Oxford by researchers in the physics department. Co-founders include CSO Muhammad Kasim, CTO Brett Larder, and advisors Professor Gianluca Gregori and Professor Sam Vinko.
FinSMEs
27/09/2023