Overfit Lab

Data infrastructure for physical intelligence.

We help robotics, autonomy, and embodied AI teams build the data systems, evaluation benchmarks, and operational playbooks required to make models work in the real world.

What we do

Data Production: high-fidelity multimodal data pipelines for collection, annotation, QA, edge-case mining, and continuous dataset improvement.

Evaluation & Benchmarks: task taxonomies, scenario suites, model scorecards, and robustness metrics for real-world AI systems.

Strategy & Systems Design: advisory and systems design for robotics companies, frontier labs, automakers, and industrial AI teams.

The physical world is not text. Physical-world data is continuous, multimodal, noisy, embodied, and expensive to evaluate. Building capable real-world AI requires more than annotation — it requires data systems, benchmark methodology, expert judgment, and operational feedback loops.

Capabilities

Multimodal Data Operations: video, LiDAR, 3D, telemetry, and sensor fusion.

Expert Annotation & QA: domain-specific labeling and review systems.

Benchmark Design: scenario suites and robustness evaluation.

Data Strategy: dataset roadmaps and model feedback loops.

Physical AI Advisory: consulting for deployable embodied intelligence.