Rigr AI

Synthetic data for autonomy

Badb Loop

Autonomy, perception, and control.

Photoreal synthetic environments, precisely-labelled datasets, and perception AI — for the UGV and UAV systems that have to work in snow, mud, fog, and the dark.

Join the waitlist See the data
  • High-fidelity ground truth
  • Every season & light condition
  • UGV + UAV
  • Built for the edge

Ground truth

Every pixel, labelled. Automatically.

Because the world is synthetic, every frame ships with precise segmentation and detection labels — no annotation queues, no human error, nothing missed in the treeline. Drag the handle to compare the rendered frame with its ground truth.

The same synthetic scene with every vehicle and person segmented and bounded by Badb Loop's ground-truth labels.

Hard conditions

Trained for the conditions that break models.

Generate the rare, the dangerous, and the degraded as easily as the everyday — then balance your dataset across the whole long tail.

  • Synthetic autumn woodland with an armoured vehicle detected among the trees. Seasonal woodland
  • Snowbound forest with a truck and personnel segmented in low contrast. Snow & low contrast
  • Dense understory with foliage and trunks segmented for occlusion-heavy scenes. Dense occlusion
  • Broken ground and mud surfaces labelled for traversability. Mud & broken ground
  • Top-down aerial view of a vehicle convoy detected on a forest trail, each vehicle in a labelled bounding box. Aerial convoy detection
  • Overhead view of armoured vehicles segmented among snow patches and dense foliage. Top-down segmentation

The platform

One loop, from world to model.

01

Synthetic environments

Build worlds you can't safely or affordably film. Compose and re-compose seasons, weather, time of day, and sensor models at will — and reproduce any scene exactly, as many times as you need.

A photoreal synthetic woodland environment generated by Badb Loop.

02

Ground-truth datasets

Training-ready datasets with precise labels, balanced for the cases that matter. Segmentation, detection, and depth — exported to the formats your pipeline already speaks.

A snow scene exported as a labelled training dataset with segmentation and detection.

03

Perception AI

Detection and segmentation models tuned for cluttered, low-contrast, real-world scenes — plus the tooling to keep them sharp as conditions drift in the field.

Badb Loop perception models detecting vehicles and personnel in a snow scene.

In trials

When GPS fails, the terrain doesn't.

When GPS can't be trusted — jammed by an enemy, or by your own defences — our systems find their place by what they see. Over land, along the coast, and across the lakes.

  • Holds position when GPS is jammed or spoofed
  • For drones, ground vehicles, and boats alike
  • Navigates coast and lakes, not just open ground
Talk to us about navigation

Build with Badb Loop

Everything you need to build on it.

Data, models, and the tools to put them to work — packaged for the teams building autonomy and navigation. Take what's ready today; the rest is in preview.

Available

Synthetic flight data

Photoreal rendered flight video with perfect ground-truth telemetry, from 3D reconstructions of real terrain — ready to train and evaluate against.

Explore the data Available

Navigation & detection models

Visual positioning for GNSS-denied navigation and aerial object detection, packaged with edge-ready binaries for the hardware a real vehicle carries.

Browse the models In preview

Developer & integration docs

Reference documentation and integration guides to wire the data and models into your own pipeline. In preview — request access.

Request access Coming soon

Interactive sandbox

A hands-on demo to try the models against sample imagery before you commit. Coming soon.

Request early access