Data Annotation Services That Scale With Your AI Ambitions
Centric Labs provides managed data annotation services across every data modality — images, video, text, audio, and 3D point clouds. Our dedicated annotation teams combine domain expertise with AI-assisted tooling to deliver production-ready datasets that meet the accuracy, speed, and security demands of enterprise AI programs. From computer vision pipelines to LLM fine-tuning workflows, we handle the complexity so your ML engineers can focus on building models, not managing data.
Annotation Services Across Every Data Modality
Image Annotation: bounding boxes, polygons, semantic segmentation, keypoints, and instance segmentation for computer vision. Video Annotation: frame-by-frame and interpolated annotation for object tracking, activity recognition, and autonomous driving. Text & NLP: named entity recognition, sentiment analysis, text classification, relation extraction, and document annotation. Audio & Speech: transcription, speaker diarization, emotion detection, and intent classification. 3D Point Cloud & LiDAR: cuboid annotation, semantic segmentation, and sensor fusion labeling for robotics and autonomous vehicles.
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
Multi-Tier Quality That Protects Your Model Performance
Every annotation passes through our four-stage quality pipeline: AI-assisted pre-labeling for consistency, senior annotator review, automated validation checks against your taxonomy, and random-sample audit by domain specialists. We track inter-annotator agreement scores in real time and provide full traceability for every label. Our standard is 98 percent or higher accuracy, with custom SLAs available for mission-critical use cases. Unlike crowdsourcing platforms where quality is an afterthought, quality is architecturally embedded in every Centric Labs engagement.
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
Your Dedicated Annotation Workforce
We do not rely on anonymous crowd workers. Every Centric Labs project is staffed by a named, trained, and managed annotation team. Your team includes a dedicated project manager based in the US or UAE, trained annotators with domain-specific onboarding, quality analysts embedded in the workflow, and a technical integration specialist for pipeline setup. This model ensures consistency, accountability, and the institutional knowledge that crowdsourcing cannot provide.
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
Seamless Integration With Your ML Pipeline
Our platform connects directly to your existing infrastructure via RESTful APIs. We support all major annotation formats — COCO, Pascal VOC, YOLO, and custom schemas. Data flows in, annotated datasets flow out, with full version control and audit trails. We also offer on-premise and air-gapped deployment for clients with strict data residency requirements.
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
Flexible Engagement Models for Every Scale
We offer three engagement tiers: Pilot, which includes a free proof-of-concept with up to 1,000 annotations to benchmark quality; Growth, which provides dedicated teams with monthly capacity commitments and volume pricing; and Enterprise, which delivers custom SLAs, security configurations, and embedded teams with full pipeline management. All pricing is transparent with no hidden per-annotation markups.
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
FAQ
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.