AI COMPUTE: EDGE DEVICES

Real-time data processing at the rugged edge

IOT and smart devices generate enormous volumes of sensor, video, CAN and telemetry data. Our proprietary edge hardware and sensors are purpose built from NVIDIA’s DGX Spark, enabling real-time data processing, machine learning, and analysis without cloud or internet.

Our edge devices solve for …

Passive data

Data that is collected passively and analysed later, which is too late or introduces data safety issues.
High bandwith requirements

Most devices need high‑bandwidth connectivity and function online only.
Ineffective hardware

General‑purpose hardware is not designed for harsh conditions or offline discussions.

Our core AI edge capabilities

Our solutions combine ruggedised AI hardware, industry‑grade interfaces, and embedded intelligence.

Real time

Inference at the edge immediately detects anomalies, failures and performance deviations.

On device

Reducing and prioritising data with only the most valuable data logged or transmitted.

Integrated

Native support for related networks, sensors and workflows.

Private

Processing sensitive data directly on the device, complete privacy.

Offline

Offline and low‑latency operation with data available and processed without connectivity.

Ideal for operators & manufacturers

Zai Node supports asset owners and operators to modernise existing sensor and device fleets. We also work with sensor manufacturers to train, manage, deploy and embed AI/ML and software alongside your sensors.

Zai Node’s edge AI in production

Vehicle monitoring and testing

We design and manufacture edge AI–based testing devices purpose‑built for the automotive industry. Our hardware is embedded directly into automotive prototypes, test vehicles and pre‑production platforms to deliver real‑time, AI‑driven test intel to global automotive manufacturers and Tier 1 suppliers.
Our solution processes data at the edge, inside the vehicle or test environment. This enables immediate insight, fast iteration, and reliable operation in conditions where connectivity, latency and robustness are critical.
AI in the Boardroom

Powered by the groundbreaking NVIDIA DGX Spark, our real-time board governance device brings enterprise-grade AI supercomputing directly into the Boardroom. Ideal for recording meetings, minute and action taking, and for Board director Q&A. During meetings, the device securely captures every verbal and digital conversation with complete data sovereignty and zero cloud dependency.
The DGX Spark’s massive 128 GB memory hosts a fully private, local, small language model which has access to all of the organisation’s data. This allows Board directors and the executives to run immediate, secure inference enabling instant queries, cross-referencing past minutes, analysing compliance, and simulating financial or strategic scenarios right from the device, with absolute data privacy guaranteed.
Safety, security cameras

Zai Node’s small, rugged AI computer is installed near or inside a camera, ingesting live video and running a local VLM to detect predefined conditions, e.g. near misses with vehicles or equipment, unsafe or unauthorised acts including theft.
Decisions happen in milliseconds (low latency), works with no connectivity, and data is processed locally.
Our edge device includes a GPU, suitable ports, rugged design, wide temp tolerance, CAN and Ethernet interfaces.
Asset & machine monitoring

We embed edge AI devices into assets to continuously assess their condition, detect early signs of failure and alert operators in real time.
This is where our rugged edge hardware excels with always-on operation/low power; wide temperature range; dust, moisture and vibration resistance; data privacy; and multi-sensor (analog, digital, CAN, Modbus).
Our devices can ingest data from many sensor types at once, e.g. load, vibration, temperature, water, humidity, gas, pressure, current etc.
Mining

Our team have deployed edge-AI devices at the blast bench to continuously monitor drill hole condition, verify charging integrity, and detect safety risks in real time, without connectivity. This allows miners to move from manual inspection to intelligent, data-driven drill and blast operations.
Our client’s in-hole sensors collect and real time process distance/depth, incline, water content, temp, sound, gas/air mix, pressure and vibration.