We deliver comprehensive human-in-the-loop AI data annotation and model training services across vision, language, audio, and code domains.
What we deliver for LLM labs, research teams & AI deployments
Labeling dialogues for tone, intent, and clarity to improve chatbot and virtual assistant performance.
Ranking and refining model outputs via human feedback (RLHF/SFT) for better AI performance.
Bounding boxes, segmentation, and object classification in images for computer vision models.
Evaluating code snippets across multiple programming languages for AI coding assistants.
Transcription with human QC for accents, pauses, and tonal shifts in speech recognition.
Clean, labeled, human-verified training data across all modalities and domains.
We integrate seamlessly into your AI development workflow, from initial model design to production deployment.
Client builds model architecture
We provide clean, labeled, human-verified training data
Client uses our data to train / reinforce learning
We rank outputs, flag bias/errors, improve response accuracy
Client deploys AI with more confidence, explainability, and safety
Real-world examples of how we've helped clients across different domains
Satellite imagery analysis and annotation
Series A startup - Speech data annotation
Real estate AI calling and workflow
Multi-language code evaluation
Stealth companies under NDA
Tailored annotation workflows
10,000+ vetted annotators across domains
Quality over quantity, with explainability
From GenAI to speech to avatar realism
Custom tools, dashboards, audits