Coming soon
Technology-Augmented Human Intelligence
Our proprietary platform combines AI-assisted pre-labeling with expert human verification, delivering 98%+ accuracy at scale while reducing annotation time by up to Below 60%.
Smart Pre-Labeling That Accelerates Every Task
Our platform leverages model-assisted labeling and active learning to pre-annotate data before human experts refine it. This hybrid approach reduces per-task annotation time by 40-60% without sacrificing the precision your AI models demand.
- Model-assisted pre-labeling across image, video, text, and audio
- Active learning prioritizes the most impactful samples for review
- Continuous model improvement as annotations feed back into the loop
- Support for bounding boxes, polygons, segmentation, NER, and more
Real-Time Visibility Into Every Annotation
Monitor inter-annotator agreement, task completion rates, accuracy scores, and throughput metrics through live dashboards. Our quality system catches inconsistencies before they reach your training pipeline.
- Live inter-annotator agreement (IAA) tracking
- Four-stage quality pipeline: pre-label, review, validation, audit
- Configurable SLA thresholds with automated alerts
- Exportable quality reports for compliance and governance
Built for Enterprise Scale
Every feature is designed for teams that need production-grade reliability, security, and integration flexibility.
API-First Integration
RESTful APIs for seamless integration with your ML pipeline. Push data in, pull annotations out, and trigger workflows programmatically.
Secure Environments
SOC 2 aligned infrastructure with role-based access control, encrypted data at rest and in transit, and full audit trails on every action.
Multi-Format Export
Export annotations in COCO, Pascal VOC, YOLO, Cityscapes, or custom schemas. One-click format conversion for any framework.
Custom Workflows
Design multi-stage annotation pipelines with conditional routing, consensus voting, and escalation paths tailored to your project.
Team Management
Assign annotators by domain expertise, track individual performance, and manage capacity across concurrent projects from a single control panel.
Active Learning
Intelligent sample selection identifies the most informative data points, reducing the volume of annotations needed to reach target model performance.
Platform Performance
See the Platform in Action
Request a free pilot and experience how our technology-augmented human intelligence platform delivers enterprise-grade annotation quality at scale.