Overfit the World.

Real-world data for physical intelligence

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

Overfitting is a bug goal.

When the dataset is the world, overfitting isn't failure — it's understanding. We have are building the whole world, one captured corner of reality at a time.

By the numbers

  1. / The frontier01

    10Mhours

    Overfit the world.

    Ten million hours of real-world experience: the data a model needs to stop guessing at physics and start knowing it.

    TARGET / REAL-WORLD EXPERIENCE

  2. / Accumulated experience02

    1Mhours

    A foundation, not a finish line.

  3. / Monthly capacity03

    500Khours / month

    Research-grade, at industrial pace.

  4. / Scene diversity04

    10Kscene types

    Diversity built in, not filtered in.

  5. / Experience density05

    9signals per hour

    Beyond raw video.

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.

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.

Build With Us.

If you are building models that need to understand, evaluate, or act in the physical world, we would like to talk.