Syntiant is a leader in physical AI, bringing deep learning directly to devices through our industry-leading Neural Decision Processors (NDPs), sensors and hardware-agnostic machine learning models.
Before we entered the market, running AI at the edge was virtually impossible. Intelligence was confined to the cloud, relying on large, energy-intensive GPUs and CPUs, where size and power constraints were minimal.
Founders Kurt Busch, Jeremy Holleman, Pieter Vorenkamp and Stephen Bailey solved this challenge by creating custom silicon that delivers best-in-class performance within strict size, power and cost limits. We also streamlined the conversion of raw and synthetic data into high-quality machine learning models, with a training pipeline optimized for physical AI applications, dramatically shortening time to market.
Today, tens of millions of NDPs and ML models have been deployed worldwide, along with billions of MEMS microphones and sensors, powering Physical AI applications in speech, audio, sensor and vision processing.
Our deep learning algorithms not only run on our silicon but can run on almost any processor from the biggest GPUs to small MCUs. These efficient models bring the performance of large cloud-based solutions to almost any edge device.
From always-on acoustic detectors that separate glass breaks from background noise, to on-device video processing for intelligent framing and speaker tracking, to real-time battery monitoring that predicts degradation, Syntiant delivers practical, production-ready physical AI.
Our ultra-low-power sensors, hardware, and software work seamlessly together, bridging the physical and digital worlds. The result: developers move from concept to prototype to full-scale deployment faster, with lower power, smaller form factors and fewer integration hurdles.
