London-headquartered V7, the data engine which has built technology to automate notations and other categorising of data needed for AI training models, has announced the conclusion of a £27 million Series A funding round.

The AI technology is used to support the faster release of AI models in mission-critical applications, ranging from end-to-end autonomous driving to sorting nuclear waste through robotic arms and early cancer detection in healthcare.

V7 uses programmatic labelling workflows which use AI models and “minimal human steering to apply labels to data at scale”.

The funding round was co-led by Radical Ventures and Temasek, with participation from Air Street Capital, Amadeus Capital Partners, and Partech.

“The next generation of software won’t run on code; it will run on models fuelled by training data,” said Alberto Rizzoli, chief executive at V7.

He added: “We let our clients easily turn human knowledge into AI models, improving the safety and accuracy of AI.”

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