Automated labeling creates noise. Our ISO 17100-vetted linguists provide high-context annotation that captures nuance, intent, and cultural subtext that machines miss.
Tagging entities, relationships, and sentiments across 250+ languages.
Expert-led ranking and scoring to align LLM outputs with human intent.
Deep-dive analysis to train models on sarcasm, slang, and regional idioms.
Correcting and labeling text within images and scanned documents for high-accuracy digitization.
Frame-by-line annotation for object detection and behavioral analysis.
Verbatim and "clean" transcription for training ASR (Automatic Speech Recognition) models.
Capturing accents, dialects, and prosody for natural-sounding TTS (Text-to-Speech) engines.
We apply the same rigor required for Machine Translation Post-Editing to our data labeling, ensuring a “Zero-Error” feedback loop.
A: No. Unlike generic platforms, we use a Private, Managed Workforce. Every annotator is background-checked and operates within our secure, audited infrastructure to ensure data integrity and security.
A: We provide PII Redaction and anonymization services as the first step of the labeling process. Our ISO 27001 certification ensures we meet GDPR, HIPAA, and CCPA requirements for data handling.
A: Yes. We specialize in Vertical-Specific RLHF. We provide legal, medical, and technical experts to “teach” your model the specific logic and terminology of your industry.
A: We support 250+ languages, including low-resource languages and rare dialects where high-quality training data is traditionally difficult to source.
Stop wasting compute on low-quality data. Partner with the experts who provide the ground-truth intelligence your AI deserves.