Most edge AI deployments stall on infrastructure, not technology. They stall because the operational layer takes longer to build than anyone plans for.
When CompScience deployed workplace safety video systems to customer sites, IT managers were uploading 200 hours of footage manually. Each transfer took 3-9 days. That was a reasonable approach for early deployments. As they scaled toward continuous safety monitoring—now operating across 40+ devices—automated infrastructure became essential rather than optional.
Building on Viam's platform, they automated the entire pipeline: camera discovery, local buffering, scheduled uploads, retry logic, and remote management. The 3-9 day transfer window became minutes. Biannual safety reports became daily insights. All with the same sized support team.
CompScience accelerated core infrastructure work like device management, error handling, and remote troubleshooting by building on an existing platform rather than from scratch. The result: their customers now receive weekly-to-daily safety insights and real-time hazard alerts, transforming workers' comp from a compliance requirement into an operational asset.
Full case study in the comments. #EdgeAI #Robotics #PhysicalAI
