AI Annotation & Data Labeling
Training data your models can trust.
Clean, consistent, well-documented labels for computer vision, NLP, and LLM teams — from pilot to production scale.
What's included
Everything you need,
end to end.
Image annotation
Bounding boxes, polygons, keypoints, 3D cuboids — any volume, with class-level QA.
Semantic & instance segmentation
Pixel-precise masks for autonomous driving, medical imaging, and retail.
NLP & LLM data
Intent labels, entity extraction, preference data, RLHF, and evals.
Audio annotation
Transcription, speaker diarization, emotion and event tagging in 50+ languages.
Video annotation
Frame-by-frame object tracking, action classification, temporal segmentation.
QA & calibration
Multi-pass review, gold-set calibration, inter-annotator agreement reports.
Use cases
Built for the work you actually do.
Computer vision teams
Production-grade datasets for detection, segmentation, OCR, and pose estimation.
LLM & RAG teams
Preference pairs, evals, red-team prompts, and domain-specific instructions.
Voice & speech AI
Multi-language transcription, accent-balanced datasets, and audio event labels.
Robotics & autonomy
3D cuboids, point cloud annotation, and sensor-fusion labels at scale.
Pricing
Simple tiers. Tailored proposals.
Pricing depends on scope, volume, and language pairs.
Pilot
Right-sized pilots to validate quality before scaling.
- Up to 1,000 items
- Single task type
- Gold-set calibration
- QA report included
Production
Continuous labeling pipelines for active model development.
- Dedicated annotation team
- Weekly delivery cadence
- Inter-annotator agreement reports
- Custom schemas & tooling
- Slack-based collaboration
Enterprise
Regulated, sensitive, or massive-scale programs.
- On-premise / VPC delivery
- SOC2-aligned controls
- Regional data residency
- 24/7 program management
- Bespoke tooling integrations
FAQ
Questions, answered.
We work in your tooling (Labelbox, CVAT, Scale, V7, Roboflow, Encord, Label Studio) or stand up our own pipelines.
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