Real work, everywhere.
Our own rigs record at real work sites: a head-mounted stereo pair and a wrist view, synced.
The infrastructure layer.
We run the end-to-end system that enables efficient training cycles.
Capture
Our sites, our rigs.
Wearable rigs record video where the work happens, mounted at the head, wrist, chest, cap or neck. Also captured: raw IMU and camera calibration.
Index
Every action, indexed per hand.
Each hand's actions become time-stamped segments, so the lake can be searched by action.
ExploreLeft and right hand · action segmentsClip S8 · 06:54 → 07:19
L · GraspR · Grasp
Retrieve
Curate what's usable.
We query the lake for the video you need, then annotate it against your taxonomy.
# retrieve.py · illustrative
moments = lake.retrieve(
venue="construction site",
scenes=["rebar area",
"formwork area"],
skill_level="hard",
where="both hands on the tool",
exclude=["hand idle", "walking"],
)
moments.annotate(
taxonomy="your_taxonomy.yaml")
# → rebar and formwork moments, labelledAnnotate
Dense captions, to the frame.
Each hand gets a caption for every segment, written against your taxonomy frame by frame.
Explore
07:00.043RightThe hand holds an item stationary in a pinch grip, then shifts slightly inward while adjusting its fingers around it.
07:01.376LeftThe hand holds the item stationary in front of the body, slightly shifting its thumb and fingers to maintain its grip.
Deliver
Annotations as JSON, per segment.
Every segment ships with its hand, label, start and end time and caption, ready for training.
See the delivery format# s8-segment.json · excerpt
{
"clip": "S8",
"track": "right_hand",
"label": "Grasp",
"primitive": "grasp",
"start": 427.079,
"end": 430.876,
"text": "The hand holds the component…"
}Start with a free sample.
Pulled from the Video Datalake. For partnerships, pricing, support or press, use the same form and our team will get back to you.
We work with the best of the best pushing the frontier of physical AI.
Thank you for the information
A member from our team will be in touch shortly.
Oops! Something went wrong while submitting the form.