Image coming soon
Carrier board design
Carrier boards and peripherals designed around your application.
Engineering services
Embedded & Edge AI Development
From small MCUs to high-performance ARM platforms, we choose the right hardware for performance and cost — and deploy AI models to the device.
Platform selection
From MCU to high-performance platforms
Mature boards and compute modules shorten development and reduce cost.
- 1
MCU
STM32 and others
Low power, real-time control and sensing for high-volume, cost-sensitive products.
- 2
ARM compute modules
Raspberry Pi CM4/CM5, Radxa
Linux with a balance of compute, interfaces and development speed.
- 3
High-performance AI platforms
RK3588, NVIDIA Jetson, Qualcomm
Built-in NPU/GPU, low power and fanless, for image processing, multi-camera and AI inference.
What we develop
Hardware to AI deployment, integrated
Image coming soon
OS porting & drivers
Linux builds, drivers and peripheral integration.
Image coming soon
Edge AI model deployment
Deploy vision and vibration AI models to the device and optimise inference.
Case studies
All case studiesEdge AI case studies
AI Vision Inspection
Wafer Offset AI Detection for Plating Equipment
Two cameras and AI image recognition track each wafer's path inside a plating tool in real time. When the offset exceeds the limit, a stack light, buzzer and relay trigger instantly, and every event's video and track data are kept.
AI Vision Inspection
AI Print Inspection for Coloured Foil Pouches
AI image recognition replaced the existing reader to inspect lot and expiry printing on every foil pouch inline, across light and dark packaging, triggering existing machine signals on failures with no re-tuning after installation.
Building an embedded or AI device?
Tell us your application and budget — our engineers will recommend the right platform.