0
uW
0
GOPs
0
Unlock embedded AI potential
We bring you deep learning data processing
at sub-milliwatt scale.
Applications
Warehouses and factories
Detection of abnormal
machinery noise
Food tracking in a large
refrigerated storehouse
Healthcare
Fall detection
Vital state monitoring
Agriculture
Early identification of crop infection
Pest monitoring for optimize treatment
Sport
Security
Gun fire detection
Suspicious activity recognition in restricted area
ASYGN Colibry Neural Processing Unit (NPU) is an ultra-low power microcontroller designed to accelerate AI-driven processing for image, sound, and sensor data. It integrates a fully reconfigurable and efficient Convolutional Neural Network Accelerator (NNPA), enabling high-performance solutions for a wide range of industrial applications.
Ultra-low power Microcontroller
32-bit RISC-V
Up to 300 MHz
100 uW – 10mW
128 KB sram
Neural Network Accelerator
On-chip AI
Fully reconfigurable
Up to 9.6 GOPS
640KB sram
Sensor data processing
Video & audio interface
Motion
FFT & ISP accelerator
TinyML application ready
For data and weight
Always-on AI
Best in class efficiency
Key Features
0
-bit
RISC-V
0
BK
NNPA sram
CNN
Fully reconfigurable
Our chip in your system
Image classification
From object recognition to anomaly detection, our ultra-low-power chip enables you to run your models at a sub-milliwatt scale for tinyML applications.
Sound classification
From object recognition to anomaly detection, our ultra-low-power chip enables you to run your models at a sub-milliwatt scale for tinyML applications.
Motion classification
Ideal for wearables tracking physical activity and security systems detecting motion, our ultra-low-power chip provides continuous performance.
Discover our GREENAI initiative
An energy-autonomous European industrial platform for frugal and embedded AI
WITH THE SUPPORT OF
ISO Certified
