A complete data execution layer for physical AI.
Datafy Lab combines expert cognitive data operations, dedicated AI capability teams, and real-world field capture to help physical AI companies build better datasets faster.
Cognitive DataOps
Desk-based, expert-led, AI-first data operations for model improvement. We turn raw, messy, or incomplete datasets into precise, certified, training-ready assets.
- ML & CV teams scaling training data
- Robotics teams improving model reliability
- Teams with inconsistent or unlabeled data
Data Failure Audit
Identify missing edge cases, label noise, imbalance, duplication, and weak coverage.
02Multimodal Annotation
Human-in-the-loop labeling for images, video, text, speech, sensor data, and trajectories.
03Filtering & Certification
Clean, validate, score, and certify datasets for quality, rights, and training readiness.
04Expert Evaluation Data
Eval sets, failure taxonomies, preference data, reasoning traces, and quality benchmarks.
Combine all three into one closed-loop data pipeline — diagnose, capture, annotate, certify, improve.