AI EDGE DEVICES
Real-time data processing at the rugged edge
Our proprietary edge hardware and sensors are purpose built to suit the client application, enabling real-time data processing, machine learning, and analysis without the cloud or internet.
Challenges to be solved
Modern IOT and smart devices generate enormous volumes of sensor, video, CAN and telemetry data. Historically, this data is:
collected passively and analysed later;
dependent on high‑bandwidth connectivity; and
processed on general‑purpose hardware not designed for harsh in situ conditions,
resulting in slower test cycles, delayed fault detection, higher costs, and limited ability to act on issues as they occur.
Our edge solutions
Our solutions combine ruggedised AI hardware, industry‑grade interfaces, and embedded intelligence.
Key capabilities include:
real‑time AI inference at the edge, immediately detecting anomalies, failures and specified performance deviations;
on‑device data reduction and prioritisation with only the most valuable data logged or transmitted;
specific integrations with native support for related networks, sensors and workflows;
enhanced privacy by processing sensitive data directly on the device; and
offline and low‑latency operation with data available and processed without connectivity.
The result is faster analysis and validation, improved safety and outcomes, and reduced costs.
Our differentiators
Inspired by proven industrial edge hardware such as those produced by Rasberry Pi and NVIDIA’s DGX Spark (with the GB10 Grace Blackwell chip), we have taken the concept further by designing a device specifically for industrial use cases.
Our hardware is:
ruggedised and engineered to withstand vibration, temperature extremes, dust and electrical noise;
modular, expandable and adaptable to different sensors, scenarios and architectures;
purpose‑built for edge AI which is optimised for real‑time inference rather than general compute; and
compact and designed for embedding into prototypes and devices.
Who we help
We work for asset owners and operators, to modernise your existing fleet of sensors and devices.
We also work with sensor manufacturers to train, manage, deploy and embed AI/ML and software alongside your sensors.
Zai Node’s edge applications in production