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ATLAS (Automatic Tracking, Localization, and Augmentation System) is GridRaster’s cutting-edge platform, engineered to transform workflows in industrial and defense settings. It creates, processes, understands, and distributes 3D data seamlessly, delivering precision and automation through adaptable AI tailored to your needs.
ATLAS harnesses multimodal AI to ingest and process 3D data effortlessly—using images, 3D models, point clouds, and technical documents. It builds customer-specific AI models for accurate spatial mapping and analysis, streamlining operations in manufacturing, training, and maintenance.
ATLAS redefines spatial computing with standout features:
Deployment Flexibility: Deploys on-premises or across cloud platforms like AWS, Azure, and GovCloud.
Enhanced Security: Streams XR content securely to devices, minimizing risks with no local data storage.
Device Versatility: Works seamlessly with Apple Vision Pro, HoloLens, iOS, and Android XR devices.
Experience high-fidelity 3D scenes with near-zero latency, surpassing edge device limitations.
Unrivaled Real-Time Performance
Data Integrity: Syncs with PLM systems for reliable data management.
Third-Party Integration: Connects effortlessly via standard APIs.
Searchable 3D Database: Powers AI-driven 3D object recognition and real-world overlays.
ATLAS uses cloud streaming to deliver complex 3D models and digital twins, overcoming mobile hardware constraints. Enjoy immersive XR experiences on devices like HoloLens with unmatched performance.
Streams high-polygon 3D meshes instantly.
Processes data 10X faster with AI.
Scales across cloud and on-premises setups.
Uses standard mobile devices and cameras.
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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.
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.
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.
