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Create, Process, Understand and Distribute
3D data Seamlessly

Empower your business with our platform’s spatial insights, seamless integration, continuous scaling, and centralized data management. Transform enterprise operations in manufacturing, training, and maintenance through the power of AI and Spatial Computing.

Reshaping Spatial Computing Norms

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

  • Deployment Flexibility: Offers support for on-premises and cloud-agnostic deployment across public, private, and government environments (including AWS, AWS GovCloud, Azure, Azure Government, Cloud One, Platform One, and more.)
  • Enhanced Security: Significantly boosts security by streaming XR experiences directly to the device, thus eliminating the risks associated with storing all data locally.
  • Device Versatility: Employs a device-agnostic architecture for seamless integration with a wide range of XR hardware platforms, including HMDs, PCs, and mobile devices.
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

  • Data Integrity: Enable system-of-record and PLM integration for comprehensive data management and analysis.
  • Third-Party Integration: Offers standard APIs for effortless and seamless integration with third-party XR applications and systems, ensuring continuous access to the best-in-class solutions.
  • Searchable 3D Database: Enables comprehensive 3D object search and recognition, allowing identified objects to be accurately overlaid onto the real world with correct scale and orientation.

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 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.

 

ACHIEVE XR-READY CONTENT 

10X FASTER WITH 1/10TH OPERATIONAL COST

 

Critical Use Cases

CRITICAL USE CASE

Wiring Harness Verification & Validation

PLM systems that house the source of truth are rich, complex data structures and are traditionally challenging to “thread” into operational systems for manufacturing maintenance systems.

Wiring Harness verification and validation is a particularly challenging use case, where the intended design information is challenging to communicate in 2D format, and the possibilities for error in routing are virtually infinite.

GridRaster Spatial Computing platform tackles these challenges by integrating and streaming complex data right to the end user in XR, dramatically reducing the likelihood for errors.

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CRITICAL USE CASE

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.

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CRITICAL USE CASE

PLM System Integration

Traditionally, Product Lifecycle Management (PLM) systems, which store product geometry and metadata, and real-time XR experiences have functioned independently.

This separation limited the potential of XR applications in manufacturing and maintenance, especially for the aerospace, defense, and automotive industries where PLM is the crucial source of product truth.

GridRaster Workspace bridges this gap by seamlessly streaming PLM data into XR without extensive de-featuring, allowing users to experience rich product data from PLM systems within their real-time XR workflows.

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