Ruggedized, high-density computing designed to run complex perception and control models directly at the point of work, deployed against three concrete outcomes.
A high-performance, low-latency "brain" for machine vision, robotics, and industrial control, running complex vision-transformer and multi-billion-parameter models directly on device.
Real-time motion planning and environmental perception for robotic platforms, with direct interfaces for multi-axis joints and balance sensors.
3D vision-guided trajectory tasks, spraying, gluing, assembly, with tight synchronization between motion control and visual feedback.
Low-latency, high-concurrency inference for defect detection and random bin picking, communicating directly with PLCs and robotic arms.
Industrial-grade stability for long-running telemetry and inspection workloads in outdoor and harsh environments, where uptime, not raw throughput, is the constraint.
On-site processing of battery-management and power-quality data for critical energy assets.
Automated visual inspection of power lines and photovoltaic installations, running continuously in the field.
Groundwork for identifying degradation before failure, built on stable long-duration local compute.
Native cellular connectivity means field equipment stays visible and manageable, without relying on fixed infrastructure or a permanent wired network.
Native sub-6GHz cellular backhaul designed for remote sites, roadside deployments, and mobile fleets.
On-device processing for in-vehicle ADAS-style perception, or roadside deployment for traffic monitoring and vehicle-infrastructure coordination.
Centralized oversight and model updates for a distributed fleet, while operational inference stays local.
A configurable, industrial-grade capability profile for vision, robotics, and monitoring workloads.
Three environments where local compute converges with a clear, measurable operational problem.
Multi-camera quality inspection, worker-safety analytics, and production-line monitoring, evaluated on the line in real time.
Local perception, navigation support, vision-guided automation, and direct CAN-connected control environments.
Container and yard vision, gate intelligence, fleet safety, and local analytics in bandwidth-constrained zones.
Illustrative use cases shown for context; no customer deployment, partnership, or operator relationship is implied.
We'll help define a pilot around the safety, quality, latency, uptime, or throughput indicator that matters most to your site.
