[Funding alert] AI Platform Machine Discovery Secures £4.5M in Funding

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This latest round of funding will allow the company 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.

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Bijan Kiani, CEO at Machine Discovery, said: “Machine Discovery is pioneering the use of machine learning to reduce product development cycles in a variety of sectors.

“We thank our partners for their continued support at a key stage of the company’s development, enabling us to expand the number of users utilising our Discovery Platform and drive forward the company’s future innovations.”Machine Discovery, a software company which uses machine learning technology to accelerate compute-intensive optimisation and simulation tasks.

Machine Discovery, a software company which uses machine learning technology to accelerate compute-intensive optimisation and simulation tasks.

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Luke Rajah, investor at BGF, said: “With cutting-edge machine learning technology and a management team with deep industry expertise, we believe Machine Discovery is poised for rapid adoption and growth. “Early customer results in analog semiconductor design have shown the potential of the technology to massively accelerate the time to develop new products, which will enable leading semiconductor players to differentiate themselves in the market.”

About Machine Discovery

We jump-start innovation — we speed up your simulation workflow by orders of magnitude.We’re an Oxford University spin-out, founded by world-class physicists and machine learning engineers.The benefits of our technology have been covered by Science Mag and Nature Physics, and we’re already delivering a substantial competitive advantage to our early customers.

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We leverage proprietary neural network technology to accelerate expensive calculations — and we do it with minimal data and 99.9% fidelity.
You describe your simulation, we provide everything else — from automatic optimization of parameters to advanced statistical insights.

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