Cobalt
Cobalt is an AI data platform that connects AI development teams with credentialed domain experts who generate, structure, and evaluate training data across 30+ specialties. The platform provides audit-ready provenance for every annotation and uses the same expert pool for both labeling and blinded model evaluations to ensure consistent, reliable performance metrics.
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
AI models require high-quality, domain-specific training data that general-purpose annotation services cannot reliably provide. Generic labelers lack the specialized expertise needed for complex fields like medicine, law, and finance, and inconsistent evaluation methodologies across vendors skew model performance results.
Solution
Cobalt provides an AI data platform where credentialed domain experts generate, structure, and evaluate AI data using specialty-verified judgment and consistent methodologies. The platform combines a network of over 1,300 expert institutions with an AI Data Engine that turns raw clinical inputs into decision-ready signals and model-ready data linked to traceable reasoning. Cobalt also offers Model Evaluation services, where the same experts who label data run blinded model evaluations under one rubric, ensuring scores aren't skewed by a second vendor with different calibration. Every annotation ships with audit-ready provenance, including timestamped logs of who touched the data, what rubric was followed, and what training was completed.
Target Audience
Primary customers are AI development teams, regulated industries, and enterprises needing specialty-verified training data and model evaluation, particularly in clinical, legal, and other expert-driven domains.
Features
- Credentialed domain experts with license verification and continuous re-verification across 30+ specialties
- Same expert pool for both data labeling and blinded model evaluations under one consistent rubric
- Submission-ready audit trail with chain-of-custody documentation, timestamped logs, and training records for regulatory review
- AI Data Engine converting raw clinical inputs into decision-ready signals and model-ready data
- Model Evaluation service delivering measurable performance metrics and production-readiness assessments
- RL environments with end-to-end task verification and reproducible runs for frontier technical work
- Proprietary datasets from primary-source expert intelligence across semiconductor fabs, data centers, AI labs, and agents
- Embodied AI data pipeline support with structured taxonomy across perception, actuation, and control