AI-Powered Vision Inspection
Deploy computer vision models directly on your edge nodes to inspect parts, surfaces, and assemblies in real time at line speed, without sending video to the cloud. Catch defects, dimensional deviations, and labeling errors before they leave the station.
Vision inference runs locally on EmberNet hardware, keeping cycle times tight and keeping your production imagery on-premises.
AMRs and Robots Running VLA Models
Vision-Language-Action models let robots understand their environment and act on natural-language instructions. Not just follow hard-coded paths. Run VLA inference at the edge on EmberNet nodes so your AMRs and robotic arms respond in real time without a cloud dependency in the loop.
Low-latency edge compute is the prerequisite for autonomous robotics in production. EmberNet provides the infrastructure layer that makes it viable on the floor.
Scheduling and Production Coordination at the Edge
AI scheduling models that run on-site, not in a cloud that your production floor can't wait for. Sequence jobs, balance machine loads, and adapt to real-time constraints like downtime, material shortages, and priority changes. All without a roundtrip to a remote optimizer.
When the WAN link drops, production doesn't stop. Decisions are made locally, against live shop-floor data.
Chat Assistant for Maintenance
A conversational AI interface built for maintenance technicians. Ask about equipment history, fault codes, recommended procedures, and parts inventory in plain language. Get answers grounded in your actual asset data, not generic documentation.
Runs on the EmberNet platform so your maintenance team has access on the floor, whether or not there's a cloud connection.