V7, a London, UK-based company providing a data engine to build and improve AI for computer visions, raised $33M in Series A funding.
The round was led by Radical Ventures and Temasek, with participation from existing investors Air Street Capital, Amadeus Capital Partners, Partech, Francois Chollet, Oriol Vinyals, Jose Valim, and Ashish Vaswani.
The company intends to use the funds to further expand into the US market, growing its team in its biggest market.
Led by Alberto Rizzoli and Simon Edwardsson, two-time co-founders who brought with them a team of machine learning engineers and researchers from Google, Graphcore, Onfido, Entrepreneur First, Tractable and more, V7 has developed a data engine to build and improve AI for computer vision. The solution automates the labeling process, allowing companies to solve data labeling tasks quickly. The company’s “programmatic labeling” 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.
300+ clients including GE Healthcare, Paige AI, and Siemens are deploying AI technology to support faster release of AI models in mission-critical applications. These range from major technological breakthroughs like end-to-end autonomous driving and sorting nuclear waste through robotic arms, to life saving applications like early cancer detection.
The platform now handles over 1 petabyte of AI training data, making it one of the largest libraries of human knowledge applied to images spanning radiology, engineering, and biopharma in existence.
FinSMEs
29/11/2022