The startup develops a low-power system on a chip (SoC) with an integrated AI accelerator, designed for use in smartwatches, electronic shelf labels, and battery-powered IoT devices. This technology enables manufacturers to create energy-efficient smart devices that enhance user experience and functionality.
Funding
Funding not disclosed
Founders
Product
Problem
Many battery-powered IoT devices, smartwatches, and electronic shelf labels require significant power, limiting battery life and increasing maintenance costs. Integrating AI functionality into these devices further exacerbates power consumption challenges, hindering the deployment of advanced features.
Solution
UpbeatTech develops ultra-low-power system-on-chips (SoCs) that incorporate an integrated AI accelerator, enabling energy-efficient edge computing. Their dual-core RISC-V MCUs leverage near-threshold computing techniques to minimize power consumption while maintaining performance. In addition to MCUs, UpbeatTech offers ultra-low-power MEMS bone-conducted microphones (BCMs) optimized for high-quality sound capture in power-sensitive applications. These components allow manufacturers to create smart devices with extended battery life and advanced AI capabilities.
Target Audience
The primary target audience includes manufacturers of IoT devices, wearable technology, and electronic shelf labels seeking to enhance energy efficiency and integrate AI capabilities into their products.
Features
- Dual-core RISC-V MCU architecture
- Integrated AI accelerator for on-device machine learning
- Near-threshold computing for ultra-low power operation
- Ultra-low-power MEMS bone-conducted microphones (BCMs) for efficient audio capture
- Optimized for battery-powered IoT devices, smartwatches, and electronic shelf labels