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Perception, grasping and navigation

Training Data for Robotics and Automation

Robots fail on the objects and situations nobody labelled. We build the perception data that closes that gap.

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Perception for Machines That Touch Things

A robot has to be right about geometry, not just category — where the object is, which way it faces, where it can be gripped. That demands annotation with real spatial rigour, and validation against what the robot did next rather than only against a held-out set.

Where Robotics & Automation AI Programmes Struggle

Pose matters as much as class

Knowing it is a box is useless without knowing how it sits.

Sim-to-real gaps

Synthetic data transfers imperfectly and needs real data to anchor it.

Cluttered, deformable objects

Bags, cables and stacked goods defeat rigid-object assumptions.

Failures are physical

A perception error becomes a dropped item or a collision.

AI Use Cases We Support

6-DoF pose estimation

Object position and orientation for pick-and-place.

Grasp-point annotation

Where an object can actually be gripped, by gripper type.

Bin-picking datasets

Cluttered, overlapping scenes labelled instance by instance.

Navigation and free space

Traversable-area segmentation for mobile robots.

Human-robot safety

Person detection and proximity labelling for shared workspaces.

Defect and completion checks

Verifying an assembly or pick succeeded.

Data Types We Handle

  • RGB-D capture Colour and depth annotated together.
  • Point clouds Instance segmentation and pose in 3D.
  • Synthetic renders Generated scenes validated against real capture.
  • Robot telemetry Joint and force logs aligned to perception frames.

How We Run the Programme

  • Geometry checked, not eyeballed Pose labels are verified numerically before delivery.
  • Gripper-aware guidelines Grasp annotation reflects the hardware that will use it.
  • Failure-driven sampling The robot's own failures decide what gets labelled next.
  • Sim and real together Synthetic volume anchored by real batches rather than trusted alone.

Build Robotics & Automation AI on Data You Can Trust

Tell us what you are building and we will come back with a plan, a sample and a price.

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