DEPLOYING A NEW INTERFACE

Syntiant is a leader in edge-AI deployments, bringing deep-learning to any device with industry-leading Neural Decision Processors and hardware-agnostic machine learning models.

Before we entered the market, running machine learning on always-on, battery-powered edge devices was inconceivable. Artificial intelligence was relegated to the cloud, unconstrained by area and power, large and energy-hungry GPUs and CPUs were used for running machine learning models.

Our founders tackled this fundamental challenge by developing custom silicon that delivers best-in-class performance, while meeting size, power and cost constraints. We also streamlined the conversion of raw and synthetic data into quality machine learning models, while providing a training pipeline optimized for edge applications. We shorted time to market for our customers so they could quickly take advantage of the benefits of machine learning.

Tens of millions of our ultra-low-power Neural Decision Processors and deep learning algorithms have since been deployed all over the world, bringing always-on intelligent edge processing to audio, video, speech and sensors. Our smallest design is in a hearing aid and our largest is in an automobile.

Our deep learning algorithms not only run on our silicon but can run on almost any processor from the biggest GPUs to the small MCUs. These efficient models bring the performance of large cloud-based solutions to almost any edge device.

Our technology can equip almost any device with powerful deep learning capabilities, real-time data processing, and decision making with near-zero latency, and at a fraction of the power of traditional solutions.

Whether it is an acoustic event detector for security applications, advanced video processing in a teleconferencing device, or real-time monitoring of battery health, we provide developers with proven hardware and software solutions that can take you from concept to product deployment in the shortest time possible.