AONDevices, Inc. develops super low-power edge AI chips and algorithms for always-on devices, enabling high-accuracy voice and sensor processing in applications such as wearables, smart home, and automotive systems. Their technology addresses the challenge of energy efficiency in battery-operated devices while maintaining performance, allowing for continuous operation without reliance on cloud processing.
Funding
$5.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many battery-powered devices require continuous voice and sensor processing, but traditional solutions consume significant power, limiting battery life and hindering always-on functionality. Processing data in the cloud raises privacy concerns and introduces latency, making it unsuitable for real-time applications.
Solution
AONDevices provides edge AI chips, hardware IP, and algorithms designed for ultra-low-power, high-accuracy voice, sound, and sensor processing in always-on devices. Their solutions enable devices to perform AI tasks locally, eliminating the need for cloud connectivity, preserving user privacy, and enabling real-time responsiveness. The company's technology supports a broad range of applications, including voice command recognition, acoustic event detection, gesture recognition, and sensor fusion, all while consuming minimal power. AONDevices offers a comprehensive platform that includes hardware, algorithms, and software, allowing for customization and scalability across diverse device types and applications.
Target Audience
The primary target audience includes manufacturers of wearables, hearables, smart home devices, automotive systems, industrial IoT equipment, and toys seeking to integrate always-on, low-power edge AI capabilities.
Features
- Super-low power consumption, with the AON1100 consuming less than 260μW during processing
- High accuracy in noisy environments, achieving over 90% accuracy in sub-0dB SNR conditions
- On-device processing for enhanced privacy and security, eliminating cloud dependency
- Support for a wide range of AI tasks, including voice command recognition, acoustic event detection, gesture recognition, and sensor fusion
- AONx360 platform for AI model development, featuring advanced data augmentation and inference simulation
- Compatibility with RISC-V processing architecture
- Algorithm flexibility, allowing training with diverse datasets for various use cases
- Single-microphone denoiser that delivers crystal-clear audio with <1ms latency