SYNTIANT

SYNTIANT: Intelligence at the Edge

SYNTIANT develops ultra-low power neural processors, MEMS microphones, and innovative vibration sensors for edge AI applications.

Neural Decision Processors (NDPs)

SYNTIANT’s NDP family is purpose-built to run deep learning models directly on-device with minimal latency and power consumption. Compared to traditional MCU platforms, SYNTIANT NDPs offer up to 100x energy efficiency, 10–30x throughput and real-time AI inference without cloud dependency. Target Applications are accoustic event detection, sensor fusion, voice triggers, and even visual processing – enabling real-time AI across industries such as IoT, automotive, healthcare and industrial automation.

MEMS Microphones & Vibration Sensors

After acquiring Knowles’ MEMS business unit in December 2024, SYNTIANT expanded its portfolio with high-performance MEMS microphones and the V2S (Vibration-to-Sound) sensor. The MEMS microphones, AEC-Q103 qualified for automotive applications, offer superior noise immunity and digital signal processing. The V2S sensor converts mechanical vibrations into acoustic signals, ensuring reliable operation in harsh environments. These solutions enable high-precision audio capture and sensing for industrial, medical, automotive, and aerospace applications.

Platform-Agnostic AI Models

In addition to silicon, SYNTIANT provides optimized deep learning models that can be deployed across a broad range of platforms: CPUs & MCUs (ARM, x86), GPUs & NPUs, DSPs & FPGAs, Neural ASICs; This enables fast and secure on-device inference, reduces the need for cloud processing, and ensures data privacy – all while operating within tight power and memory budgets.