AI Data Labeling for Computer Vision, NLP, and Audio
Accurate, scalable ground truth for machine learning teams. Human-validated annotation with AI-assisted workflows built for production-grade model training.
Annotation Services Across Every Modality
End-to-end data labeling for computer vision, natural language, audio, and document AI workflows.
Image & Video Annotation
Bounding boxes, polygons, semantic segmentation, keypoint annotation, and object tracking. We also support data collection and sourcing for vision datasets.
Text & NLP Labeling
Named entity recognition, intent classification, sentiment analysis, and text categorization for language models.
Audio Annotation
Transcription, speaker diarization, timestamping, and phonetic labeling for speech and audio AI systems.
Document AI
OCR correction, form field extraction, table parsing, and document classification for structured data pipelines.
AI-Assisted Pre-Labeling
Machine learning pre-annotation accelerates throughput. Every output is reviewed and validated by trained human annotators.
QA & Review Workflows
Multi-stage validation with consensus scoring, gold standard testing, and expert audit for production-grade accuracy.
From Pilot to Production
Scoping
We define annotation guidelines, acceptance criteria, and project architecture based on your model requirements.
Pilot
A sample batch validates our approach — typically delivered within 5–7 business days. We calibrate quality, refine guidelines, and align on delivery format.
Production
Managed annotators work with AI-assisted pre-labeling. Multi-stage QA ensures every label meets your accuracy threshold.
Delivery
Labeled datasets delivered in your preferred format with full audit trail and quality documentation. Production SLAs defined per project.
A Managed, Professional Annotation Workforce
Every project is staffed by vetted, trained annotators who work under professional agreements. We scale teams from 5 to 50+ annotators per project, with native-level support in English and Chinese (Mandarin).
Vetted & Trained
Annotators are screened, onboarded, and tested on project-specific guidelines before production begins.
Domain Specialists
We staff projects with annotators who have relevant background — medical imaging, autonomous driving, financial documents, content moderation.
Accountable & Secure
All team members operate under NDAs and data handling agreements. Work is tracked, auditable, and tied to named individuals.
Multilingual Operations
Native English and Chinese (Mandarin) annotation teams. We support bilingual labeling, cross-lingual QA, and CJK-specific text processing.
Three-Stage Validation for Every Project
Consensus Annotation
Each task is independently labeled by multiple annotators. Agreement scoring ensures only high-confidence labels advance.
Gold Standard Testing
Annotators are continuously evaluated against pre-verified reference data. Performance below threshold triggers retraining or removal.
Expert Review
Senior reviewers audit output samples. Clients receive quality reports with precision, recall, and inter-annotator agreement metrics.
Domain Expertise Where It Matters
Healthcare & Life Sciences
Medical image annotation, clinical document labeling, and de-identified dataset preparation for health AI applications.
Automotive & Robotics
LiDAR point cloud annotation, 3D bounding boxes, lane marking, and object tracking for autonomous systems.
Financial Services
Document extraction, fraud detection labeling, and transaction classification for compliance-aware AI models.
Trust & Safety
Content moderation labeling, policy violation detection, and sentiment classification for platform integrity teams.
Your Data, Protected
We design every workflow around data security and client requirements.
Encryption
All data encrypted in transit (TLS 1.2+) and at rest (AES-256).
Access Control
Role-based permissions with least-privilege enforcement across all environments.
Client-Owned Tools
We work inside your annotation platform — CVAT, Labelbox, Label Studio, Supervisely, or custom tooling — so data never leaves your environment.
PII Handling
De-identification, masking, and redaction workflows for sensitive datasets.
Audit Trails
Every annotation action is logged. Full provenance documentation on every delivered dataset.
Privacy-Conscious
Workflows designed to support GDPR, CCPA, and HIPAA-adjacent requirements. We adapt to your compliance framework.
Ready to Start a Pilot Project?
Tell us about your annotation requirements. We will scope a pilot, deliver a sample batch, and show you what production-quality labeling looks like.