Industrial Systems
We build the control systems, edge hardware, and autonomous machinery that run factories, supply chains, and industrial infrastructure.
No cloud dependency. No third-party data leaving the floor. Every system designed to operate disconnected from the internet by default.
Overview
Most industrial automation runs on proprietary PLCs, locked-down SCADA systems, and contracts with vendors who control the software stack. If the vendor goes under, or the satellite link goes down, the line stops.
We replace that model with open-architecture edge controllers running our own inference stack on commodity hardware. The same system that runs a packing line can run a water pump station or a grain elevator. No licensing fees. No cloud dependency. No vendor lock-in.
Everything is designed to be repaired, replaced, and reprogrammed by the people who operate it.
Powering the backbone of American industry. From raw materials to finished goods, our platform enables seamless coordination across the entire supply chain ecosystem.
Capabilities
Edge controllers that run production lines without phoning home. Real-time quality inspection, adaptive process control, and automated material handling — all on local hardware.
Tracking and verification nodes at every handoff point. Raw material intake, work-in-progress, finished goods — each node operates independently and syncs when connectivity allows.
Every system boots and runs without internet access. Configuration, logging, and control are all local. Network connectivity is treated as optional, not required.
Vibration, thermal, and acoustic sensors feed into local models that flag bearing wear, belt slip, and motor degradation before they cause unplanned downtime.
Material handling, palletizing, and inspection robots that navigate and make decisions on-device. No WiFi required. No cloud dependency. Just the work.
Neural processing on sub-dollar microcontrollers. Object detection, anomaly detection, and control logic running on the same chip that drives the actuator.
System Architecture
Technology
We run neural inference on ARM Cortex-M and RISC-V microcontrollers — the same class of chip found in a microwave. Object detection, anomaly detection, and control logic all execute locally. No GPU, no cloud, no latency.
Each node in the network makes its own decisions. If a conveyor controller loses contact with the central server, it keeps running. If a sensor node goes offline, the rest of the line adapts. No single point of failure.
Thermal, vibration, acoustic, and visual data streams are combined into a single model running on the edge controller. The system sees bearing wear in the vibration signature before it hears it in the acoustic data — and flags it before the line stops.
The hardware and software stack is designed to be maintained by the people who use it. Standard connectors, open protocols, no proprietary tooling. If a controller fails, you replace it with a $30 board, not a $3,000 service call.
Vision
Industrial automation is dominated by proprietary systems that lock you into a single vendor. If that vendor raises prices, stops supporting a product line, or goes out of business, you rebuild from scratch.
We build systems that belong to the people who operate them. Open hardware. Open protocols. Controllers that cost tens of dollars, not thousands. Software that runs on anything with a processor.
The goal is not to sell you a subscription. The goal is to give you a system that works, that you can fix, and that you still own in ten years.
Industrial infrastructure that answers to you.