V7 Darwin AI features and pricing (October 2026)

V7 Darwin is a data labeling platform for computer vision and document data, used by AI teams in medicine, manufacturing, retail and agriculture to build training datasets with AI-assisted annotation.

Darwin handles images, video, PDFs, architectural drawings and medical formats such as DICOM and SVS. Multi-stage review workflows assign roles and route tasks, and an API, SDK and storage integrations with AWS, Google Cloud and Azure connect the platform to training pipelines. V7 also offers labeling services in areas such as medical imaging, video and RLHF. The company is based in London, founded in 2018, and also sells V7 Go for document workflows.

• Segments objects automaticallyAuto-Annotate and SAM2 draw masks around objects such as lesions in CT scans or parts on an assembly line. Annotators correct the proposal instead of tracing outlines by hand.
• Tracks objects in videoAuto-track follows a labeled object through a video sequence. Teams working on surgical video or retail footage label long clips with far fewer manual frames.
• Pre-labels with your own modelModel-in-the-loop connects an existing model to propose labels and flag doubtful ones for review. The dataset improves each time the model is retrained.

• Supports medical formats such as DICOM and SVS and offers annotation by medical specialists.
• Pricing combines platform fee, users and data volume in one annual package.

V7 is headquartered in London, with offices in San Francisco and New York.

Pricing is only available by quote, so define data types and volumes before the demo. Ask where data is stored and whether data can stay in your own cloud storage. For medical data, confirm the HIPAA terms and, for EU patient data, the data processing agreement.

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