Gridraster Digital Twin

Introducing the GridRaster Digital Twin solution, where we enable the transformation of the XR/3D modeling and simulation landscape. With our Spatial Computing platform, we empower industries to create content at speeds ten times faster and costs one-tenth of traditional methods.

By leveraging commercial equipment, we enable rapid scanning and creation of 3D digital twins, unlocking the full potential of real-world data and immersive experiences. Gone is the need for exotic scanning equipment – our accelerated XR model creation algorithm ensures accurate representations without compromising on quality or efficiency.

Solving the XR content challenge

Gridraster Digital Twin can scan large area models and achieve XR-ready content in minutes.

GridRaster addresses the challenges of legacy systems:

  • Lack of Extensive 3D CAD Models: Traditional methods of generating 3D models are expensive and time-consuming. GridRaster streamlines this process, leveraging advanced XR interfaces and cloud computing to create precise models from inexpensive consumer hardware.
  • Integration into SysML Workflows: Incorporating 3D models into existing workflows is essential. GridRaster’s platform seamlessly integrates generated models into SysML tools, enabling comprehensive system simulations and analysis.

Key Benefits of the Gridraster Approach


Achieves millimeter precision, critical for precise simulation, defect detection and analysis


10 times faster 3D scanning and model generation.

Cost Efficiency

Significantly reduce hardware costs, enabling accessible digital twin creation to a wider audience


Handles models with 500 times more polygons.





Critical Use Cases


Large Area Scanning

In the realm of large area scanning, GridRaster Digital Twin stands at the forefront, pioneering advancements that redefine the possibilities of XR content creation.

Through our innovative technologies, we’ve enabled automatic mesh model generation of vast aircraft parts, facilitating seamless path planning for maintenance robots. Demonstrating our capabilities, we’ve showcased how these generated 3D models empower robots to execute intricate tasks such as painting, anomaly detection, and defect identification with unparalleled precision. 

Our solutions are not just about efficiency; they represent a paradigm shift in how industries approach maintenance operations. By streamlining processes and leveraging the power of automation, we’re empowering organizations to achieve new levels of productivity and reliability in their operations. 


Detailed Component Scanning

GridRaster Digital Twin empowers you to capture detailed 3D scans of even the most complex equipment, right down to individual subcomponents. Consider using your mobile device – a lidar-equipped tablet or smartphone – to meticulously scan equipment and its wires, hoses, parts and fasteners.

GridRaster Digital Twin refines the captured lidar and camera data, transforming it into functionally valuable, high-fidelity 3D models. This relieves countless hours of labor to manually model wire harnesses, and unlocks powerful analytics to address questions such as “Is this hose connected to the right fitting?”

With GridRaster, you can delve deeper into your equipment in its current and past states, gaining a comprehensive understanding of its inner workings at a fraction of the traditional cost. This empowers informed decision-making for maintenance, repair, and future design iterations.


High-Fidelity Asset Creation

Traditionally, creating high-fidelity digital twins of legacy equipment required specialized scanners, reducing accessibility and increasing costs. GridRaster Digital Twin breaks down these barriers with a revolutionary approach, requiring only commercially available lidar-equipped tablets or smartphones a fraction of the cost.

Imagine scanning a critical piece of machinery, like a this Flight Engineering Panel, with your iPad. GridRaster’s Digital Twin meticulously refines the captured lidar and camera data, resulting in a hybrid 3D model where even the smallest instrument markings are legible. This multiplies the utility of digital twins in the field and across many use cases.