V7

AI data labeling (Darwin) and document automation (V7 Go)

Hand-reviewed by the Toolglade team·Updated Aug 2026

data-labeling#data-labeling#annotation#document-automation#multimodal

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About V7

V7 offers V7 Darwin for AI data labeling and annotation and V7 Go for agentic document automation, applying foundation models to multimodal extraction across regulated industries.

V7 (V7 Labs) built its reputation on V7 Darwin, a high-quality data labeling and annotation platform for computer vision and multimodal ML, serving around 350 enterprise customers including Mars, Bayer, Merck, Genentech, and Insitro. Darwin remains a core product for teams that need to build training datasets and domain-specific models. With the rise of foundation models, V7 launched V7 Go, an AI work automation platform built on models from OpenAI, Anthropic, and Google. V7 Go automates document-intensive knowledge work through multimodal extraction across text, tables, handwriting, images, and diagrams, and enables human-plus-AI collaboration with orchestrated review steps for domains like finance, legal, and insurance operations. Together the two products span the modern data-centric AI stack, from labeling training data to deploying agentic document automation. V7 has raised roughly $36 million in verified funding and was recognized as one of Europe's fastest-growing startups, making it a credible choice for enterprises modernizing document and data workflows.

TL;DR

V7 (V7 Labs) provides V7 Darwin for enterprise data labeling and V7 Go for agentic document automation, using foundation models for multimodal extraction.

Company overview

V7 Labs is a London-based AI company that first became known for V7 Darwin, a data labeling and annotation platform used by around 350 enterprise customers including Mars, Bayer, and Genentech. It was recognized as one of Europe's fastest-growing startups.

As foundation models matured, V7 launched V7 Go to move up the stack into agentic document automation, positioning the company across both training-data creation and AI-driven knowledge work.

Product features

V7 Darwin handles data labeling and annotation for computer vision and multimodal ML, enabling teams to build training datasets and domain-specific models. V7 Go automates document-intensive workflows with multimodal extraction across text, tables, handwriting, images, and diagrams.

V7 Go is built on foundation models from OpenAI, Anthropic, and Google, and emphasizes human-plus-AI collaboration with orchestrated review steps, targeting regulated domains like finance, legal, and insurance.

Target market

V7 targets enterprise ML teams and operations groups in document-heavy, regulated industries that need both high-quality labeling and AI document automation.

Buyer personas

End users

Annotators, ML engineers, and operations analysts.

Buyers

Enterprise ML and operations leaders.

Key influencers

Data science teams and compliance stakeholders.

Ideal customer profile

Large enterprises in finance, legal, insurance, life sciences, and CV-heavy fields that need both training-data labeling and agentic document automation.

Funding & performance

V7 has raised roughly $36 million in verified funding, including a $3M seed (2020) and a $33M Series A (2022). Verify current figures with the vendor.