Micro-nano core designs and produces IoT and AIoT system-on-a-chip (SoC) solutions focused on ultra-low power consumption. Their chips integrate sensor acquisition and embedded AI to improve the energy efficiency, precision, and edge inference capabilities of IoT devices.
Funding
Funding not disclosed
Founders
Product
Problem
Many IoT devices require high energy efficiency, precise sensor data acquisition, and edge inference capabilities, but existing system-on-a-chip (SoC) solutions often fall short in delivering these features simultaneously. This results in increased power consumption, reduced accuracy, and limited real-time processing capabilities for IoT applications.
Solution
Micro-nano core designs and produces AIoT SoC solutions that address these challenges by focusing on ultra-low power consumption and integrating key functionalities directly onto the chip. Their SoCs combine sensor acquisition, data processing, and embedded AI inference to optimize the performance and energy efficiency of IoT devices. By tightly coupling these components, the chips enable more accurate and responsive edge computing for a variety of applications. The company's products include microcontrollers, including 8-bit 8051 MCUs and 32-bit ARM Cortex-M series MCUs, as well as dedicated chips for new energy battery management systems (BMS) and AI acceleration.
Target Audience
The primary target audience includes developers and manufacturers of IoT devices, particularly those in the smart home, industrial, consumer electronics, new energy, and AIoT sectors.
Features
- Ultra-low power design for extended battery life in IoT devices
- Integrated sensor acquisition interfaces for direct connection to a variety of sensors
- Embedded AI processing for real-time edge inference
- 8-bit MCU series with EEPROM, high-precision ADC, and motor-specific PWM
- 32-bit ARM Cortex-M series MCUs
- Dedicated BMS AFE chips for new energy applications, focusing on high-precision, real-time performance, and reliability
- Development tools including Keil support, NCCLink8 for online burning/simulation, and NCCWrite8 for offline burning
- MCU Visual Programming (MVP) platform for graphical programming
- MCU Initialization Tool (MIT)