Data labeling & annotation · V7 Labs Ltd.

V7

Annotation platform for images, video and documents, strong in medical imaging formats, with AI-assisted and auto-tracking labeling.

Visit V7 Alternatives

V7 Darwin is V7's training-data annotation platform, supporting 50+ data formats including medical imaging standards (DICOM, SVS), video with automated object tracking, PDFs and architectural drawings — a breadth that has made it popular in healthcare, life sciences and manufacturing. It combines manual annotation tools with AI-assisted labeling (auto-segmentation, tracking across video frames) to speed up throughput, plus workflow orchestration for human-in-the-loop review. V7 also sells a separate product, V7 Go, which automates document-heavy business workflows (underwriting, claims, deal review) using foundation models rather than producing training data — a distinct product from Darwin aimed at a different buyer. Darwin is cloud-hosted with custom pricing based on platform access, user seats and data volume processed.

At a glance

Vendor V7 Labs Ltd.
Pricing model Quote only
Free tier —
Deployment Cloud
Open source No
Best for Teams annotating medical imaging, video or document data that need format breadth beyond standard image/text labeling.

Pricing

Custom pricing combining a platform fee, per-user licenses and volume-based data-processing charges; no published tiers.

Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted.

Features

  • Support for 50+ data formats including DICOM and SVS medical imaging
  • Automated object tracking across video frames
  • AI-assisted auto-segmentation and pre-labeling
  • Workflow orchestration for human-in-the-loop review
  • PDF and document annotation support
  • Role-based access and QA stages
  • API/SDK for pipeline integration

Integrations

Profile last reviewed September 21, 2026

Alternatives

Labelbox Enterprise annotation and data-curation platform (Annotate, Catalog) that has expanded into RLHF and agent-training data services. Encord Multimodal data platform covering curation, AI-assisted annotation and model evaluation for vision, video, audio, text and medical imaging. SuperAnnotate Multimodal annotation and MLOps platform with a customizable editor, data curation and analytics for scaling AI training-data projects. Scale AI Large-scale data-labeling and data-engine platform combining tooling, managed human workforces and RLHF services for AI training data.

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Terms to know

Machine learning Building models that learn patterns from data to make predictions or decisions, rather than following hand-coded rules. Workflow orchestration Scheduling, sequencing and monitoring interdependent data tasks so each step runs only after the ones it depends on succeed.

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