Physical AI and Robotics: Consulting, Development and Training Data
We help physical AI and robotics teams go from strategy to shipped models: multimodal training data, teleoperation capture and model development for robot foundation models, VLAs and world models. Consented at the source and delivered LeRobot-ready.
What we do for physical AI and robotics teams
From strategy through delivery, across five specialized solutions. We scope the data, run the capture, and help you train the models, so multimodal physical AI data and the pipeline around it come from one team.
Physical AI strategy and consulting
We scope the data and model plan for your robot program, from task taxonomy to acceptance criteria.
Multimodal training data
Stereo depth, tactile, IMU and hand pose on one clock, far beyond mono RGB.
Teleoperation and data collection
Managed capture on real partner sites, teleoperated and egocentric.
Model development
Fine-tune OpenVLA, pi0 or GR00T on real demonstrations, with retargeting handled.
World-model data
Real video with metric depth and action labels for world foundation models.
Tactile and manipulation data
Per-finger force arrays for contact-rich manipulation that vision alone misses.
Building a physical AI or robot foundation model?
Tell us your tasks, embodiment and target model. We will map the data and model plan and send a representative sample pack.
Why Capture-First Physical AI
Scraped web video is mono and scale-ambiguous. Synthetic cannot fake contact, friction or slip. We capture first-hand on real floors, so depth, force and motion are measured, not inferred, and every episode carries consent and provenance you can audit. The result closes the sim-to-real gap that pure simulation leaves open.
Capture the signal, don't infer it.
Metric depth, tactile and 200Hz IMU on one synced clock: the multimodal signal a physical AI policy needs, and the one mono RGB cannot provide.
How We Work With Physical AI Teams
We start with a scoping call on your tasks, embodiment and target model, then deliver a representative sample pack you can evaluate in an afternoon. From there we scale the capture program and, where you need it, help with model development and retargeting. Every episode ships LeRobot-ready, with RLDS/TFDS and ROS 2 / Foxglove MCAP on request.
Scoping Call
We start with a scoping call on your tasks, embodiment and target model.
Representative Sample Pack
We deliver a representative sample pack you can evaluate in an afternoon.
Scale the Capture
From there we scale the capture program to match your task diversity and volume.
Model Development & LeRobot-Ready Delivery
Where you need it, we help with model development and retargeting. Every episode ships LeRobot-ready, with RLDS/TFDS and ROS 2 / Foxglove MCAP on request.
Why Physical AI Teams Work With Us
Scraped web video is mono and scale-ambiguous. Synthetic cannot fake contact, friction or slip. We capture first-hand on real floors, so depth, force and motion are measured, not inferred, and every episode carries consent and provenance you can audit. The result closes the sim-to-real gap that pure simulation leaves open.
We partner with robot foundation model teams, humanoid robotics companies, AI labs and physical AI startups, from a first sample pack to an ongoing capture and development program. If you are building physical AI, we provide the data layer and the hands to train on it.
If you are building physical AI, we provide the data layer and the hands to train on it.
Solutions Within Our Services
Physical AI training data
Multimodal field capture for robot foundation models and VLAs.
World-model training data
Real video with metric depth and action labels for world foundation models.
Embodied AI and VLA training data
Human demonstrations for robot policies, ready to fine-tune OpenVLA or GR00T.
Tactile and manipulation data
Per-finger force arrays for contact-rich manipulation.
Frequently Asked Questions
Physical AI is AI that perceives and acts in the physical world, robots and their foundation models. Physical AI training data is the multimodal, real-world capture those models learn from: synchronized video, depth, tactile, IMU and hand pose with action labels, not scraped mono video.
All three, as one program. We scope the data plan, run the capture, and help you fine-tune and retarget onto your embodiment. You can start with any one and add the others.
Datasets ship LeRobot-ready and load with LeRobotDataset, and are available as RLDS/TFDS or ROS 2 / Foxglove MCAP on request, so they drop into an OpenVLA, pi0 or GR00T fine-tune with the retargeting step budgeted in.
Open X-Embodiment is robot trajectories; ours is human demonstration data with richer sensing (metric depth, tactile, 200Hz IMU) and broader diversity. They are complements, and most teams train on both.
Book a strategy session. We scope your tasks, embodiment and target model, then send a representative sample pack you can evaluate before any commitment.
Start your physical AI program
Book a strategy session and we will map your data and model plan, then scope a representative sample pack for your stack.