Bespoke VR training built on 1:1 digital twins of your own substations, switchgear, plants and turbines. VR Vision reverse-engineers your SOPs, safety protocols and equipment specs into interactive CGI simulations or 360° video - from instructional design through multi-site rollout - so crews rehearse the exact procedures they perform on your assets without taking equipment offline. Trusted by Enel Green Power, Iberdrola/Avangrid, Hydro One and Toronto Hydro.
When off-the-shelf won't cut it, VR Vision builds training around your assets and your procedures. Site scans, photography, CAD/GIS data and SME walkdowns become a 1:1 CGI digital twin; equipment, tooling, interlocks and terrain, and your SOPs become scripted steps, hazards and error states validated by your own experts before release.
What we build:
• Interactive CGI simulations and full digital twins - e.g. a complete substation recreated from a real training site for Iberdrola/Avangrid, covering the full maintenance and repair procedure through transformer power-flow verification
• Renewables O&M programs - Enel Green Power's wind, substation and solar modules on Quest 3, with instructor-led and AI-guided multiplayer
• T&D field training - Toronto Hydro's switchgear, underground vault and powerline modules on a 40-headset multiplayer fleet, with trainers monitoring live feeds in Vision Portal
• Interactive 360° video - Hydro One's new-connection curriculum, the first program in Canada to train customer-care teams in 360° VR, scaling across a 2,000+ person organization
How it's delivered: capture → reconstruct → design → simulate → deploy & measure. Guided, practice and assessment modes from one build; standalone Meta Quest deployment with device management; Vision Portal analytics and LMS integration; train-the-trainer certification and change-management support; ongoing content maintenance as assets and SOPs evolve. Modules typically go from kickoff to rollout in months, not years.
Why it pays back: the tasks hardest to practice live — switching, vault entry, turbine work - become repeatable on demand. Published program results include a 30% reduction in time-to-train and projected 50% training-time savings, with payback typically inside 12–24 months from reduced travel, downtime and incidents. The same digital-twin assets extend into NVIDIA Omniverse for planning and AI-guided workflows.
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