Bridging the virtual and real worlds
at unprecedented speeds

Gridraster’s groundbreaking Spatial Computing Platform represents a seismic shift in how industries can capture, model, and interact with physical reality in immersive 3D environments. Our pioneering technology combines advanced computer vision, real-time 3D reconstruction, and streaming capabilities to enable the rapid digitization of spaces, objects, and scenes at up to 10X the speed and 1/10th the cost of traditional methods.

By leveraging accessible depth-sensing hardware like smartphone cameras and LiDAR, we eliminate the need for costly, specialized 3D capture equipment. Our platform’s robust algorithms can rapidly process this data into photorealistic 3D meshes and dynamic, data-rich digital replicas ready for visualization, analysis, and interaction across AR/VR, CAD/BIM, digital twin, and simulation environments.

Unlock new frontiers where physical and digital converge with Gridraster’s transformative platform.

Reshaping Spatial Computing Norms

Legacy spatial computing approaches are plagued by slow processing times, data constraints, and mobility limitations. GridRaster upends these by:

  • Ubiquitous Sensor Compatibility: Capture 3D data from any smartphone, tablet, headset or IoT camera – no specialized hardware required.
  • Rapid 3D Reconstruction: Our GPU-accelerated engine generates complex 3D meshes up to 10X faster than conventional photogrammetry pipelines.
  • Real-Time Streaming: Experience immersive, reality-mirrored digital replicas by streaming full spatial data remotely with near-zero latency.
End users experience photorealistic, high-polygon count scenes with minimal latency.
These levels of visual fidelity and performance are impossible to achieve when processing models on the edge device itself.

Unrivaled Real-Time Performance

  • Lightning Speed: Quickly digitize entire buildings, factories, objects and environments.
  • Uncompromising Quality: Flawlessly capture and interact with ultra-high polygon meshes beyond mobile hardware constraints.
  • Ubiquitous Access: Remotely stream live 3D data to any device, from lightweight AR headsets to powerful workstations.
  • Infinite Scalability: Our cloud-native platform elastically scales from on-premises edge deployments to global cloud infrastructure.

Key Benefits of the Gridraster Approach

Real-Time Fidelity

Stream ultra-high polygon 3D meshes with virtually no latency for flawless real-time visualization.

Accelerated Digitization

Advanced algorithms process spatial data up to 10X faster than traditional photogrammetry.

Limitless Scalability

The cloud-native architecture elastically scales across environments to support any scale of deployment.

Universal Sensor Support

Capture spatial data from ubiquitous mobile devices and cameras – no specialized hardware required.

Transcend Mobile Hardware Limitations with Cloud Streaming


While wearable AR/VR devices are constrained by their limited computing power, Gridraster’s Spatial Computing Platform leverages the cloud to remotely render and stream even the most complex 3D models, CAD data, and digital twins. End users experience photorealistic, high-polygon count scenes with minimal latency – levels of visual fidelity and performance that would be impossible to achieve when processing on the edge device itself. Our platform empowers you to deliver immersive experiences uncompromised by the technical limitations of mobile chipsets.





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. 


Real-Time Sensor
Data Streaming

GridRaster Digital Twin leverages cutting-edge technology to provide real-time sensor data streaming, revolutionizing the way industries manage their assets.

At the core of this innovation is high-resolution “sensor” data streaming (for example, scanners) combined with algorithms that enable precise localization, mapping, and visualization of practical data and metadata.

A critical use case is defect mapping. By integrating the scanning sensor data seamlessly into GridRaster Digital Twin, users are empowered to gain unparalleled insights into the real-time condition of their assets long their life cycle. Applications include monitoring infrastructure integrity, optimizing maintenance schedules, or facilitating rapid response to defects.

GridRaster Digital Twin sets a new standard for asset management efficiency and effectiveness.


Understanding the 3D Scene

GridRaster Digital Twin pioneers breakthroughs that revolutionize how industries interpret and interact with their environments. Through our state-of-the-art AI-enabled platform, we empower users to gain deeper insights into complex spatial data, facilitating enhanced decision-making and operational efficiency.

Leveraging advanced machine learning algorithms, our solution provides unparalleled capabilities in scene classification, object recognition, and spatial mapping. This allows users to effortlessly generate detailed 3D models tailored to their specific use cases, whether it’s for manufacturing, maintenance, or training simulations.

By seamlessly integrating with existing workflows and providing open formats for data export, GridRaster Digital Twin ensures compatibility and interoperability across diverse applications.