Solutions
Edge AI solution categories
Sixteen structured categories covering the full edge AI stack — silicon, systems, software, infrastructure and applied deployments. Each category page explains what the technology does, who builds it and how teams evaluate it.
Hardware
Hardware
Edge AI Chips
Processors, NPUs and accelerators built for inference at the edge
Hardware
Industrial Edge Computers
Fanless, ruggedised systems for factories, energy and transport
Hardware
AI Workstations
Desktop and mobile machines for model development and local inference
Hardware
Smart Cameras
Cameras with inference built into the device
Software
Infrastructure
Applications
Applications
Computer Vision
Detection, inspection, tracking and scene understanding
Applications
Robotics
Compute for mobile robots, arms and cobots
Applications
Autonomous Systems
Vehicles, drones and self-directed machines
Applications
On-Device AI
Inference inside phones, PCs, wearables and appliances
Applications
Healthcare Edge AI
Clinical imaging, monitoring and point-of-care intelligence
Applications
Retail Edge AI
Loss prevention, shelf intelligence and checkout automation
Applications
Automotive Edge AI
In-vehicle compute, ADAS and cabin intelligence
Applications
Smart Cities
Traffic, transit, utilities and public infrastructure intelligence