We built a TinyML AI model zoo, featuring optimized versions of popular models like YOLO and Meta's Segment Anything, designed for embedded hardware. Quickly deploy AI on small devices and speed up your time-to-market.
ARM Processor MLPerf Benchmarking for AI with Integrated NPUs
We implemented the MLPerf benchmark suite on 2 ARM processors with NPUs, porting MLPerf Tiny to an MCU with RTOS and MLPerf Edge to an MPU with Linux, running benchmarks to differentiate chip vendors' solutions.
Automated Testing for Industrial IoT Security on Manufacturing Floors
We automated testing for an IoT security product to protect networks from threats causing downtime, damage, and IP loss. We ensured threat modeling, platform integration, and more, covering both new and existing features.
Advancing Edge Intelligence: Precision Object Detection with Low-Power MCUs
We crafted a cutting-edge microcontroller unit (MCU) that epitomizes smart, energy-efficient object detection at the edge of technological innovation.
AI-Enhanced Wi-Fi Sensing: Revolutionizing Space Monitoring and Security
We've developed a Wi-Fi Access Point system that integrates AI neural networks, bestowing APs with sophisticated sensing abilities.
Real-Time Wi-Fi Analysis: Peak Performance & Efficiency
To revolutionize Wi-Fi connectivity, we developed a real-time Wi-Fi environment analysis system designed to detect network issues, find optimal communication paths, and reduce power consumption.
Pioneering Wi-Fi 6/6E Silicon for Tiny IoT Devices
Collaborating with a well-respected silicon vendor, our team played a pivotal role in pioneering the development of a state-of-the-art Wi-Fi 6/6E IoT chip.








