Custom action & semantic annotation
Define labels and delivery rules around your model. Choose an automated pipeline, a human labeling team or a hybrid workflow after a sample review.
Reference image. Exact equipment and configuration are confirmed per project. Image credits ↗
FIT YOUR TRAINING STACK
Training-format integration
Map episodes into your training schema, document coordinate conventions and test the loader before committing a full dataset conversion.
Scoped to your project · Request a quotation
No purchase commitment. Availability, scope, lead time and commercial terms are confirmed after requirements review.
THE SPECIFICATIONKnow what
Know what
you are evaluating.
| Target formats | LeRobot, RLDS or a supplied schema, subject to review |
|---|---|
| Modalities | Available video, proprioception and action channels |
| Compatibility | Version and loader pinned in the project specification |
| Retargeting | Separate feasibility scope; never assumed from format conversion |
| Validation | Episode count, dimensions, types and temporal alignment |
| Ownership | Customer usage rights established before processing |
SCOPE THE HANDOVERWhat to include
What to include
in your project.
- Source-to-target field mapping
- Units, coordinates and sampling conventions
- Small converted sample and loader check
- Batch export with validation report
- Known limitations and missing-field declaration
KEEP BUILDING
Full catalogRelated offerings.
Dataset processing & QA
Organize, validate and release datasets with reproducible manifests. Make exclusions, missing signals and transformations visible before training.
YOUR NEXT MOVE
Let's build something