Expert-verified training data with 99%+ accuracy. Enterprise-grade security, transparent QA, and teams that scale with your model.
From bounding boxes to sentiment analysis — training data optimized for your model's domain.
Bounding boxes, segmentation, keypoint annotation, and polygon labeling for autonomous vehicles, security, retail, and medical imaging.
Sentiment analysis, named entity recognition, text classification, and intent labeling for robust NLP and LLM fine-tuning pipelines.
Transcription, speaker diarization, and audio categorization for voice assistants, customer service automation, and media analysis.
A transparent, repeatable workflow designed for quality at every step.
We define project guidelines, labeling schemas, and quality metrics aligned with your model's goals.
Our trained teams label your data using your preferred tools or our in-house platform — at scale.
Multi-tier review with automated checks ensures >98% accuracy before any data leaves our pipeline.
We combine cost efficiency with the quality enterprise clients demand — no compromises.
NDA-protected workflows, encrypted transfers, and strict access controls for sensitive data.
Spin up from 5 to 500+ annotators within 72 hours. Pay only for what you use.
Annotators trained in your vertical — medical, legal, autonomous driving, e-commerce, and more.
40-80% lower than US-based alternatives with no hidden fees or lock-in contracts.