We enable and enrich sensors with hidden intelligence for energy-starved smart devices.
Up to 500x more energy-efficient than existing solutions.
System-level solutions incl. neural network models optimized for the application.
Support for a wide variety of sensory data and neural network models.
Neural network acceleration for the edge
Our chips intelligently reconfigure themselves in real-time to consume the least possible amount of energy for the active task. delivering between 4 to 100 TOp/s/W of energy-efficiency.
Designed for smart sensing
Consumer devices such as hearing aids, wearables, AR/VR, and health monitoring.
Aerospace & automotive such as drones, condition monitoring and in-car intelligence.
Smart sensors for industrial IoT and other energy-starved applications.
Designed for easy development
Train your networks with Tensorflow or PyTorch.
Developers require no specialized understanding of hardware
Our Python-based optimization libraries maximize energy-efficiency and performance
Our core technology: Adaptiva
Evaluation board: AdaptiveStorm
We are working with CSEM on building an evaluation SoC for Adaptiva, called AdaptiveStorm. A high level overview of the planned chip is as follows:
Dual-core RISC-V ASIC
Watchdog mode for ultra-low power
Nullhop mode for high throughput
Neural network co-processor: Adaptiva
Supported neural networks
Convolutional neural networks including resNet, VGG, MobileNet
Recurrent neural networks with multiple layers
Access to software emulation of Synthara’s accelerators and customization features from Q4 2021
Support available on request
Early access to AdaptiveStorm evaluation board from Q4 2022
Price on request
For more information, please send an email to contact-us(at)synthara(dot)ai or complete the contact form below.