We create intelligent autonomous robots that navigate indoors and outdoors - anywhere

We have developed a comprehensive suite of cutting-edge technologies to enable robotic applications in mixed-use environments, ranging from crowded indoor spaces to busy urban streets. Our technology has run on robots spanning last-mile delivery on footpaths to a self-driving car which completed the UK’s longest autonomous drive without disengagement on the M1 motorway. Our technology has been comprehensively tested and deployed in the harshest weather conditions over a vast variety of operating environments.

Deep Learning

Proprietary deep neural networks for semantic segmentation, depth estimation, and scene understanding

Computer Vision

State-of-the-art technologies for object detection, motion estimation and tracking

3D Mapping & AR

Camera-based 3D mapping and localization technology with in-house Augmented Reality software stack


Real-time remote inspection and control of robot fleets using custom browser enabled system


Full-stack software for end-to-end autonomous decision making and robot control

We are launching - 'Challau'

Robot powered remote online tourism

Challau is a social interaction and tourism platform unlike any before it.
Challau is a Hindi/Urdu word which means to ‘operate’, ‘initiate’, ‘drive’, ‘begin’, and ‘launch’. The Challau platform is made up of a shared fleet of robots that anyone, anywhere, can see, access, and interact through. Experience the world in unique ways, explore places you’ve never been to before and pilot your robot to go wherever you want. We are launching in BETA very soon!
Each of our robots is fitted with an array of sensors, and powered by our advanced AI scene understanding technology with ultra-fast real-time communications systems. Simply dial into a robot directly from your browser to see the world like never before. 

Challau opens up tourist sites and visitor attractions to a global audience and lets travellers from around the world remotely visit and explore places from their homes

For Travellers

Visit far flung places instantly – completely online. Dial into a Challau robot from any location in the world and visit and explore that place from your home. See, hear, and move around by piloting your robot from your browser and keyboard. Take photos and record videos of your trip – all for the cost of a cup of coffee (completely free to try out in BETA).

Travel like you’ve never done before!

For Tourists Sites

Open up your tourist site to a worldwide audience of travellers 24/7. Bring in more visitors in less time with an added source of revenue and no setup or operating costs – we’ll own, manage, upgrade and maintain the Challau robot for your site completely FREE. Give your travellers an enhanced experience by overlaying augmented reality tours and games for delightful visitor experiences.

Challau Robot


Advanced computer vision and deep learning based scene understanding and spatial awareness


Powerful 4G connectivity with WiFi support for high bandwidth communications indoors or outdoors


Accesible online by anyone, anywhere, at any time and supports concurrent experiences for large groups


Enriched with our Augmented Reality technology for user information, navigation and bespoke content layers

Autonomous ready

Fully autonomous driving technology for mission-based or exploratory navigation


360 degree collision avoidance technology using Vision and Ultrasound - Cybersecure by design


Durable, weatherproof, and built to last


Piloted directly from your browser at the click of a button - no downloads required

Our Technology


Processing of millions of 3D points per second to identify, cluster and track objects of any size, shape or type


3D environment modelling as cm-accurate digital maps built using cameras, for navigation, position estimation and augmented reality


Classification of image pixels into over 30 object categories including pedestrians, animals, cyclists, vehicles, sky, road, and vegetation


Image analysis to remove the effects of glare, shadows and reflections for improved scene understanding


Deep learning based per-pixel depth estimation and corresponding 3D pointcloud creation using camera video


Classification of 3D points into object candidates using low-level shape invariant data primitives


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