The Data Labeling Platform Built for Enterprise AI Teams
Centric Labs Platform combines AI-assisted annotation with human expertise in a unified workspace designed for enterprise scale. Unlike standalone labeling tools that leave you managing quality, workforce, and integration separately, our platform integrates everything — annotation, QA, workforce management, and ML pipeline connectivity — in one secure environment. Whether you use our managed teams or bring your own annotators, the platform accelerates every step from data ingestion to labeled dataset delivery.
Enterprise Features That Eliminate Data Pipeline Friction
AI-assisted pre-labeling using your existing models to accelerate annotation. Multi-stage quality assurance with consensus labeling and automated validation. Real-time dashboards for project progress, quality metrics, and annotator performance. API-first architecture for seamless integration with your ML pipeline. Role-based access control with SSO and enterprise authentication. On-premise and air-gapped deployment options for sensitive data. Multi-format export supporting COCO, Pascal VOC, YOLO, and custom schemas.
What you get
- Dedicated managed teams, no anonymous crowd
- Multi-stage QA with measurable SLAs
- Secure workflows designed for enterprise data
- Fast pilots with clear success criteria
Works With Your Existing ML Stack
Our platform integrates with the tools your team already uses: cloud storage including AWS S3, Azure Blob, and GCP Cloud Storage, ML frameworks and experiment trackers, existing annotation tools including Label Studio and CVAT, CI/CD pipelines for automated dataset versioning, and custom integrations via our RESTful API and webhooks.
What you get
- Dedicated managed teams, no anonymous crowd
- Multi-stage QA with measurable SLAs
- Secure workflows designed for enterprise data
- Fast pilots with clear success criteria
Deploy Wherever Your Security Requirements Demand
Cloud-hosted SaaS for standard enterprise use. Private cloud deployment within your AWS, Azure, or GCP environment. On-premise installation for full data sovereignty. Air-gapped deployment for classified and restricted environments. Hybrid configurations combining cloud management with on-premise data processing.
What you get
- Dedicated managed teams, no anonymous crowd
- Multi-stage QA with measurable SLAs
- Secure workflows designed for enterprise data
- Fast pilots with clear success criteria
See the Platform in Action
Request a live demo tailored to your use case. Our team will walk through the features, integration options, and deployment configurations that matter most for your AI program.
What you get
- Dedicated managed teams, no anonymous crowd
- Multi-stage QA with measurable SLAs
- Secure workflows designed for enterprise data
- Fast pilots with clear success criteria
Ready to validate quality and security in a pilot?
We will scope a small, measurable dataset, define acceptance criteria, and stand up a managed team fast.