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Neuton

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About

Neuton is an automated, no-code TinyML platform that enables users to automatically build extremely tiny and accurate machine learning models without manual coding or traditional compression techniques. Powered by a patented neural network framework, Neuton creates models averaging less than 5 KB, allowing them to be natively embedded into 8, 16, and 32-bit microcontrollers and sensors. This results in models up to 10 times smaller and 33 times faster than other existing algorithms, often achieving high accuracy in a single iteration. The platform is designed for edge devices with strict constraints, such as total on-device memory less than 100 kB, W scale energy, and processors under 100 MHz. Neuton achieves these compact sizes without compromising accuracy or using post-creation compression methods like quantization or pruning.

Platform
Web
Task
model building

Features

silicon agnostic deployment

single iteration model creation

fast inference speed

patented neural network framework

embed into 8, 16, and 32-bit microcontrollers

high accuracy without compression

extremely tiny models (<5kb average)

no-code automated tinyml

Pricing Plans

Free for Developers
Free Plan

Automated TinyML platform access

Build extremely compact and accurate models

Embed models into microcontrollers

No coding required for model creation

Utilizes patented Neural Network Framework

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