V7 powers more than 300+ commercial AI projects.
In healthcare, logistics, manufacturing, and more.
Before V7 Darwin
Manual, slow labeling
Hours spent drawing boxes, masks, and keypoints by hand.
Inconsistent quality
Annotation errors and no standardization across team members.
Scattered workflows
Switching between tools for annotation, reviews, and approvals.
Zero visibility
No tracking of progress, productivity, or dataset quality.
Limited file support
Struggling with videos, DICOMs, microscopy, or 3D formats.
After V7 Darwin
Automated labeling
AI-assisted tools complete annotations in seconds — including complex shapes.
Consistent quality
Built-in QA, consensus stages, and annotator performance tracking ensure precision.
Unified workflows
Multi-stage workflows with automation, roles, and logic-based routing.
Complete visibility
Full project dashboards, metrics, and review stats to monitor everything in real time.
Supports any file
Seamlessly label any format — from time-lapse microscopy to multi-camera footage.
Use an intuitive interface and AI-assisted tools to turn complex labeling tasks into a few simple clicks and adjustments. Work with any size dataset and file type, from videos, PDFs, and architectural drawings to specialized medical formats like SVS or DICOM.
V7 allows you to design multi-stage review workflows to orchestrate your labeling process. Assign roles, tasks, and manage project completion. Use conditional logic and automations to always route data to the right stages or team members.
