Coldstack for Agricultural robotics
Robot log search for agricultural robotics
Your weeders, sprayers, and tractors stream field cameras all season. Coldstack finds the misfires and edge cases across the whole fleet — and turns them into training data.
Your data
Ag robots — laser weeders, see-and-spray rigs, autonomous tractors — run vision on every plant, all day, across a full growing season. That is a steady stream of high-resolution camera and telemetry data per machine, most of it a normal field, a small fraction the odd cases that break your models.
The problem
Your CV team curates training frames by hand
Improving a weed- or crop-detection model means finding the frames it got wrong across the fleet. Today that is a manual slog through recordings, so you only fix what you happen to notice.
Misfires are invisible until a customer reports them
A sprayer that misses a weed, or hits a crop, is one moment in petabytes of field footage. Without search across the fleet you cannot find every instance of a failure mode.
Storing every season's footage hot is ruinous
Keeping years of camera logs in hot storage to keep them searchable does not pencil out — so the data, and the training signal in it, gets archived or deleted.
What you can ask
Search your whole fleet in one query — by signal, image, and metadata.
- frames where the weed detector fired but no weed was present
- every time spray pressure dropped below threshold for 2 seconds
- camera frames that look like lodged or damaged crop
- all runs from tractor block 7 last week with a navigation fault
Matched moments export straight to a LeRobot-compatible dataset. Raw MCAP stays in your own bucket the whole time.
Questions
Can Coldstack search camera frames by what they look like?
Yes. Coldstack embeds sampled frames with a CLIP-class model, so you can search by image or by a text description like 'weed the model missed' and get ranked matches across the whole fleet, not just one field.
Do our field recordings leave our storage?
No. Raw MCAP logs stay in your own S3 bucket. Coldstack builds a compact index (about 1–3% of raw) that points back into your bucket; matched clips are read with short-lived signed URLs.
Can we export matches as training data?
Yes. Matched moments export straight to a LeRobot-compatible dataset, so the failures and edge cases you find go directly into your next training run.