Scraped clips and rushed gig recordings look like data. Then your team loses weeks cleaning it, or your policy learns the mistakes.
Commodity data
Training-ready data
Mix and match. Most programs combine a capture type with annotation, then close the loop with evals.
Skilled operators drive your robot through real tasks with leader arms or VR, so every action is recorded in your robot's own joints and sensors. Trains imitation and VLA policies on your exact embodiment.
People wear head cameras while they do real tasks, capturing exactly what their hands see and do. Trains world models and manipulation pretraining, at a scale robots can't collect alone.
Operators use a handheld gripper with a wrist camera, so demos match a robot's view and grasp without a robot on site. Trains policies that transfer to parallel-jaw grippers.
Tradespeople record skilled procedures start to finish: a brake job, a panel wiring, a dinner service, multi-angle and narrated. Trains long-horizon planning and expert technique.
We label new or existing footage to your schema: step segments, hand-object contact, keypoints and pose, 3D boxes, and step-by-step captions.
We test your policy in real settings or review your rollouts, score them against a rubric, tag failures, and collect data where it breaks.
We match the capture kit to your model and robot, then deliver in the format your pipeline already reads: MCAP, ROS bag, HDF5, LeRobot, RLDS, MP4 with JSON labels, or your own schema.
First-person video of hands at work. Operators wear a light camera while they do the job, so your model sees what they see and how their hands move, from the first step to the last.
A camera on the hand or the gripper gives a robot's-eye view of every grasp: close-up footage of contact and placement, where most policies go wrong.
Depth, color, and motion recorded on one clock. You get the 3D shape of the scene and how the camera moved through it, synced frame by frame.
Operators work with a handheld gripper that matches your robot's grasp, its width logged with the video, so demos transfer to parallel-jaw grippers without a robot on site.
Skilled operators drive your own robot with your leader arms or VR setup, so every action is recorded in your robot's joints and sensors, ready for imitation learning.
Robots learn the technique in the data. If the person on camera is guessing, your policy learns to guess. Ventra grew out of an AI recruiting company, so finding and vetting skilled people fast is what we do best.
Finds working mechanics, electricians, chefs, assemblers, and warehouse pros, not just whoever is on a task app.
Test real procedure knowledge before anyone records a minute.
Check hand skill, framing, and instruction-following against your spec.
Scores every operator's batches and pulls anyone who slips.
Warehouses, factories, kitchens, auto shops, homes, and labs: data from the places your robot will work.
Share the basics. We'll come back with questions, a plan, and a pilot quote.
Small on purpose. A typical pilot covers one or two tasks in a few settings, with enough episodes for your team to judge quality and run a quick training test. We size it with you during scoping, and it's paid, so you get our full effort.
Scoping takes a call or two. Once you sign off on the spec, we recruit and vet operators for the pilot. Recruiting is our core skill, so this part moves fast. You get a dated plan before you commit.
Ownership and usage rights are set in writing before collection starts. Custom collections are built for you, and every participant consents to that use. We'll walk through exclusivity and licensing terms on the scoping call.
Human video and handheld gripper data work across embodiments. For teleoperation, we run sessions on your robot or rig. Tell us your arm, gripper, and sensors, and we'll match the capture setup to them.
Every batch gets checked against the acceptance criteria in your spec: sync, framing, task completion, and label accuracy. Reviewers sample episodes, flag failures, and we re-collect what doesn't pass. Each delivery comes with QA notes.
Every operator signs consent for the specific use. Participants can opt out. Faces, screens, and documents get blurred, and businesses review footage from their site before it ships. We only record where we have permission.
Yes. Our annotation team can segment, label, and caption footage you've already collected, using your schema and tools or ours.
Scoped per project. Price depends on the data type, settings, sensors, labeling depth, and volume. You get a clear quote for the pilot first, then pricing for scale once you know the data works.