
V7
AI data engine for computer vision automation.
Date | Investors | Amount | Round |
---|---|---|---|
investor investor investor investor | €0.0 | round | |
N/A | €0.0 | round | |
investor | €0.0 | round | |
* | $33.0m | Series A | |
Total Funding | 000k |
USD | 2019 | 2020 | 2021 | 2023 |
---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 |
% growth | - | - | (6 %) | - |
EBITDA | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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V7 is a London-based technology company developing an AI-powered platform for managing and automating data workflows, with a specialization in computer vision. The company was founded in 2018 by Alberto Rizzoli and Simon Edwardsson. The founders had previously collaborated on Aipoly, an award-winning computer vision application designed to assist the blind and visually impaired by enabling smartphones to identify objects in real-time. This experience revealed a broader market need for more efficient data labeling and AI model development tools, which led to the creation of V7.
V7 provides a data engine that enables organizations to build, train, and deploy artificial intelligence models. The company's business model is primarily subscription-based Software as a Service (SaaS). Its flagship product, V7 Darwin, is a comprehensive platform that facilitates the entire machine learning lifecycle, from data annotation and labeling to model training and management. It supports a variety of data types, including images, video, DICOM medical imaging, and documents. The platform includes features like automated data labeling, workflow orchestration to manage human annotators, and dataset versioning. Recently, the company launched V7 Go, a platform that uses multimodal AI agents to automate knowledge work and business processes.
The company targets a wide range of industries that rely on visual data, including healthcare, life sciences, retail, automotive, manufacturing, and logistics. Its clientele includes Fortune 500 companies, startups, and research institutions such as GE Healthcare, Merck, and Sony. V7 has raised a total of over $40 million through seed and Series A funding rounds, with investors including Radical Ventures, Temasek, Partech, and Amadeus Capital Partners.
Keywords: computer vision, data labeling, AI training data, MLOps, data engine, machine learning platform, image annotation, video annotation, workflow automation, neural networks, data management, AI development, automated labeling, human-in-the-loop, dataset management, model training, artificial intelligence, visual AI, document processing, GenAI