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GridRaster

GridRaster provides a cloud-based XR platform that utilizes distributed edge computing, low-latency remote rendering, and AI-driven spatial mapping to create 3D digital twins and facilitate real-time collaboration in industrial settings. This technology enables enterprises to generate accurate digital representations of physical assets ten times faster and at a fraction of the cost, enhancing efficiency in manufacturing, training, and maintenance operations.

San Francisco, United StatesFounded 2014311K+ followers
Updated 20 months ago

Funding

$2.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Creating accurate 3D digital twins of industrial assets is often slow and expensive, requiring specialized scanning equipment and extensive manual processing. This makes it difficult for enterprises to leverage digital twins for real-time collaboration, training, and maintenance optimization.

Solution

GridRaster offers an AI-enabled spatial platform that accelerates the creation and utilization of 3D digital twins in industrial environments. The platform leverages distributed edge computing, low-latency remote rendering, and AI-driven spatial mapping to generate high-fidelity digital representations of physical assets. By using commercial equipment and AI-powered processing, GridRaster enables enterprises to create digital twins up to ten times faster and at a fraction of the cost compared to traditional methods. The platform supports multi-user XR collaboration, real-time data integration, and seamless integration with existing PLM systems, empowering businesses to improve productivity, reduce costs, and increase revenues.

Target Audience

The primary target audience includes enterprises in aerospace & defense, automotive, energy, medical, and telecommunications industries seeking to improve productivity and reduce costs through spatial computing and AI.

Features

  • Rapid 3D digital twin creation using commercial scanning equipment
  • AI-enabled dynamic XR for precision markerless alignment and object recognition
  • Multi-user XR collaboration within a bespoke UI/UX environment
  • Real-time data ingestion and display from external sensors and data endpoints
  • Flexible deployment options supporting on-premises and cloud environments
  • Device agnostic platform compatible with HMDs, PCs, and mobile devices
  • Secure data streaming directly to devices with enhanced cybersecurity measures
  • API access for custom applications and seamless integration with other XR solutions
This profile is AI-generated and may contain inaccuracies.