Autonomous driving perception
Multi-sensor annotation for detection, tracking and free-space estimation across camera, LiDAR and radar.
Why Us
The programmes we run most often. If yours is not here, it is probably a variation on one that is — ask us.
Multi-sensor annotation for detection, tracking and free-space estimation across camera, LiDAR and radar.
Clinician-reviewed segmentation and finding-level labelling on de-identified studies.
Field and drone imagery labelled for disease, weed and growth stage.
Pallet, carton and SKU detection with pose for robotic handling.
Attribute-rich catalogue labelling with deliberately built hard negatives.
Junction video labelled for flow, queues and events under all conditions.
Powerline and substation defect classification, graded by severity.
Field and table extraction from invoices, contracts and claims.
Fine-grained surface defect classes with accept/rework/reject grading.
Intent, entity and sentiment labelling across languages and channels.
Multi-temporal segmentation with consistent labelling across passes.
Policy-based classification with a defined escalation path.
This list is what recurs, not what is possible. The projects worth doing are usually the ones that do not fit a category yet — bring us the problem and we will tell you honestly whether we are the right people for it.
Tell us what you are building and we will come back with a plan, a sample and a price.