V7 bags $33m to help teams build robust AI


V7, a data engine building and improving AI for computer vision, has raised $33m in Series A funding to help teams build robust AI.

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

According to V7, this represents the largest Series A funding round in its category by more than double, and will allow the company’s further expansion into the US market, growing its team in its biggest market.

Machine learning-powered computer vision models are helping tackle a range of challenges facing society today, V7 said, from spotting cancers to robotic farming.

However, when building a machine learning system, 80% of a team’s time is spent managing training data. This is a slow process that helps refine and augment the “knowledge” that models have learned by having humans perform laborious, manual labelling tasks.

V7 automates the labelling process, allowing companies to solve data labelling tasks ten times more quickly.

The company’s unique “programmatic labelling” workflows use AI models and minimal human steering to apply labels to data at scale. The product comes with general-purpose AI models built in, which automatically segments objects in images and video, acting as a co-pilot for human annotators. After about 100 human-guided examples, V7’s platform can start identifying objects at scale on “autopilot”, routing edge-cases it doesn’t yet understand to human reviewers.

Alberto Rizzoli, CEO of V7, said, “The next generation of software won’t run on code, it will run on models fueled by training data. We let our clients easily turn human knowledge into AI models, improving the safety and accuracy of AI.

“This is incredibly powerful, and in the right hands, can literally save lives. If we want to build software that tackles unsolved frontiers in human health, or our climate, this is the only way.”

Applied AI Company, a London-based AI technology company, recently raised $42m in a seed funding round to reimagine regulated industries.

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