Companies to shape our future

We are a Talent Investor. We invest in the world’s most ambitious people and then we invest in the companies they build.

We focus on funding companies solving very hard problems and doing things that many people would say are impossible - whether that’s slashing the cost of working in space or using AI to dramatically lower the world’s energy usage. Our companies have raised hundreds of millions of dollars from the world’s best investors.

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Viewing Companies in: COMPUTING HARDWARE View all

Circuit Mind

COMPUTING HARDWARE

Circuit Mind

Founders
Tomide Adesanmi Basilio Gentile

http://circuitmind.io

Circuit Mind is using AI to completely automate the design of electronic circuits. Every year £40bn and 1.5bn hours are spent globally in tedious and repetitive circuit board design work. We are building extremely complex artificial intelligence that takes in the requirements for a circuit board and outputs the circuit board final design, ready for manufacture. This means better circuits, designed orders of magnitude faster, at a fraction of the cost.

Tomide Adesanmi is an electronic systems engineer with a Master’s from the University of Leeds. He spent over four years building high integrity AR displays for pilots at BAE Systems. His expertise in complex systems design is central to Circuit Mind’s technology.

Basilio Gentile has two Master’s degrees, including one in Electrical Engineering, and a PhD from ETH Zurich with a focus on mathematical algorithms for complex systems. He declined postdocs at Harvard and Berkeley to start Circuit Mind. His mastery of high-performance algorithms is at the core of Circuit Mind’s solution.

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Plumerai Plumerai

Plumerai

COMPUTING HARDWARE

Plumerai

Founders
Roeland Nusselder Taras Iakymchuk

http://plumerai.co.uk/

Plumerai is making small machines intelligent by enabling them to use the power of deep learning locally and in real-time. We do this by using a new type of deep learning, called Binarized Neural Networks.

Roeland Nusselder has two Bachelor’s in Physics and Mathematics and a Master’s in Mathematics from Utrecht University. He researched Efficient Deep Learning algorithms at the Dutch National Research Institute for Mathematics and Computer Science, which led to several peer-reviewed publications.

Taras Iakymchuk has five years of industry experience in hardware design, a PhD in Electronics from the University of Valencia and a Master’s in Electronics from Wroclaw University of Technology. He has over ten peer-reviewed publications on implementing neural networks on FPGAs.

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Entrepreneur First

Entrepreneur First

Entrepreneur First

Companies to shape our future

Circuit Mind

Plumerai