Luminous XR vs Prisms

Luminous XR combines survey-grade 3D scanning, digital twins, and immersive training for industrial operations. Its training covers safety and hazard recognition, procedures, technical skills, and asset familiarisation, with assessment and competency tracking. Teams can commission recreated real-world environments and equipment for project-specific content, or create and edit scenarios in FLOW using a visual graph of predefined nodes. FLOW modules include assisted learning, practice, and assessment; sessions support up to 20 participants in one virtual environment. Content runs on Meta Quest and HTC Vive through OpenXR and on Windows desktop, with desktop mode available on a laptop or tablet. PORTAL supports SSO, LMS integration, MDM, and device management, and provides training step logs and class and individual performance reports. Deployment options include on-premise, single-tenant regional cloud, and secure private hosting. Luminous describes integrations with Unity and NVIDIA Omniverse and displays ISO/IEC 27001:2022 certification. The company was founded in 2004 and is based in Newcastle upon Tyne. Pricing is available on request; listed offerings include a £1,450 creator package and a $6000 workshop.

Prisms is a spatial learning platform for grades 6–12 math and science. Students work through physical, first-person experiences and then connect those experiences to symbolic notation. The curriculum contains more than 100 content and skill-building modules. A classroom package includes VR headsets, charging and storage equipment, and mobile device management software; listed headset support includes Oculus Quest 1. Teachers can watch activity in real time through casting or an event timeline and provide feedback during lessons. Prisms AI gives short written responses to math and science answers and classifies mastery for teachers, who can override the classifications. Released modules can be translated into Spanish, Haitian Creole, Portuguese, Vietnamese, Mandarin, and Russian. The company says student data is not used to train third-party AI models and that sensitive or personally identifiable data is not sent to its AI. AI processing uses Anthropic models through AWS Bedrock and is described as FERPA- and COPPA-compliant. Support includes on-demand technical help and professional development with dedicated coaching. Partnerships use fixed license quantities and one-year initial terms unless an order form says otherwise.