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V7 Darwin
London, United Kingdom
What it is
V7 Darwin is a data-labeling platform for creating training data for AI models. It handles images, videos, DICOM and NIfTI files, microscopy, reinforcement-learning feedback, PDFs, and architectural drawings. Annotation options include polygons, bounding boxes, tags, skeletons, keypoints, lines, ellipses, masks, and attributes. Auto-Annotate and SAM2 provide AI-assisted object segmentation, while video tools track objects across selected time ranges and mark when they enter or leave view. External or built-in models can pre-label data, identify quality issues, and be compared with human labelers in blind tests. Teams can build multi-stage reviews with assigned roles, conditional logic, and automated routing. Darwin runs on the web and through an API and SDK. Integrations include AWS, Google Cloud, and Azure, with TensorFlow- and PyTorch-compatible exports. AWS support includes private S3 buckets and Amazon SageMaker. Exports include Darwin, COCO, CVAT, YOLO, PNG, and Pascal VO formats. V7 lists ISO 27001, HIPAA, SOC 2 Type II, and GDPR compliance. Pricing is custom, with usage-based data-processing charges and no published dollar amount.
For and against
For
- Supports medical, microscopy, video, PDF, and architectural data
- AI-assisted labeling includes Auto-Annotate and SAM2
- Multi-stage reviews support roles and conditional routing
- Exports to COCO, CVAT, YOLO, and other formats
- Web, API, and SDK access available
Against
- Custom pricing has no published dollar amount
- Data-processing charges vary with usage
- Enterprise access includes single sign-on and monitoring summaries
The verdict
V7 Darwin combines broad annotation support with model-assisted labeling, review workflows, and developer access. Its custom pricing and unclear free-tier limits mean prospective teams need a quote before planning costs.
Who it suits
It suits teams preparing varied datasets for AI models, especially those needing structured reviews, model-assisted labeling, or cloud integrations. API and SDK access supports workflow automation.
Plans and prices
Custom pricing
Custom package · volume-based data charges · user licenses
Read 5 Oct 2026 · v7darwin.com
On the record
- AI labeling
- AI-assisted labeling includes Auto-Annotate and SAM2 for segmenting objects.v7darwin.com · read 5 Oct 2026
- AWS integration
- Darwin can connect to private AWS S3 buckets and is integrated with Amazon SageMaker.v7darwin.com · read 5 Oct 2026
- Compliance
- The maker states that V7 Darwin is ISO 27001 certified, HIPAA compliant, SOC 2 Type II audited, and GDPR compliant.v7darwin.com · read 5 Oct 2026
- Data location
- The security FAQ says Darwin data received by V7 is stored in AWS S3 servers in Ireland and is not moved outside the EU for storage.v7labs.com · read 5 Oct 2026
- Data types
- It supports images, videos, DICOM and NIfTI, microscopy, RLHF, PDFs, and architectural drawings.v7darwin.com · read 5 Oct 2026
- Developer tools
- V7 offers an API and SDK for automating workflows and customizing integrations.v7darwin.com · read 5 Oct 2026
- Enterprise access
- Single sign-on and access monitoring summaries are available on the enterprise tier.v7labs.com · read 5 Oct 2026
- Free tier
- The homepage invites visitors to try a free tier, but does not state its limits or whether it applies to Darwin pricing.v7darwin.com · read 5 Oct 2026
- Integrations
- The maker lists AWS, Google Cloud, and Azure, with annotation exports compatible with TensorFlow and PyTorch.v7darwin.com · read 5 Oct 2026
- Model workflows
- External or built-in models can pre-label data, flag quality issues, and be compared with human labelers in blind tests.v7darwin.com · read 5 Oct 2026
- Pricing limits
- The maker says pricing is custom and data-processing charges vary with usage; the pricing page does not publish a dollar amount.v7darwin.com · read 5 Oct 2026
- Purpose
- V7 Darwin is a data labeling platform for creating training data for AI models.v7darwin.com · read 5 Oct 2026
- Review workflows
- Teams can create multi-stage review workflows with assigned roles, conditional logic, and automated task routing.v7darwin.com · read 5 Oct 2026
- Support
- V7 lists average first response time as 11 minutes and average resolution time as 5 hours.v7darwin.com · read 5 Oct 2026
- Video annotation
- Its video tools can track objects across selected time ranges and mark when they enter or leave view.v7darwin.com · read 5 Oct 2026
