Neuton.AI - No-code artificial intelligence for all

Learn How Neuton Creates Incredibly Compact and Accurate Models

Neuton allows building predictive models optimized in size and accuracy automatically in a single iteration. Read more about our unique neural network framework for creating compact models.

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5 Unique Features of Neuton Network Framework

Selective connections

Unique algorithm

Automatic structure growth

No manual search

Constant cross-validation

Selective tinymodels to connected features

First, Neuton uses a selective tinymodels to connected features. Neuton only needs to make connections with the most important features

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Unique patented global optimization algorithm

We leverage a unique patented algorithm to adjust the coefficients within a model. Unlike most algorithms Neuton's algorithm is not based on backward propagation of errors and the stochastic gradient descent. Furthermore, the Neuton algorithm minimizes the likelihood of hitting local minima. This is especially important when building small models where the probability of hitting local minima is particularly high. Our algorithmic tinymodels helps to avoid this issue.

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Automatic neuron-by-neuron network structure growth

The Neuton platform enables models to be built automatically, neuron by neuron, starting from learning general features and moving toward identifying the most specific ones. This allows selection of a model of almost any level of precision and size, in a single iteration.

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No manual search for neural network parameters

Neuton eliminates the time-consuming multidimensional manual search for neural network parameters (number of layers, neurons in a layer, type of activation function, batch size, learning rate, etc.) and allows one to quickly & efficiently find the optimal structure.

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Constant cross-validation

The step-by-step growth of the neural network makes it possible to cross-validate with the addition of each neuron, which is typically not feasible with a standard tinymodels. Furthermore, constant cross-validation increases the generalizing capabilities of the model, which allows for creation of compact models - without compromising accuracy.

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Evaluate the Uniqueness of our Approach

by Comparing our Benchmarks

For example, Neuton's Model for Combined Cycle Power Plant Data Set is 208.6 times smaller than TensorFlow, and 42.3 times smaller than TensorFlow Lite.

Algorithm

Size, kB

Coefficients

Target metric

Holdout metric

TensorFlow

31.08

2 338

MAE

3.35

TensorFlow Lite

6.31

n/a

MAE

3.36

Neuton

0.149

100

MAE

3.30

Combined Cycle Power Plant Data Set

The dataset contains 9,568 points collected from a Combined Cycle Power Plant over 6 years. Features consist of hourly average ambient variables (Temperature, Ambient Pressure, Relative Humidity and Exhaust Vacuum) used to predict the net hourly electrical energy output.

Explore our Benchmarks

Explore the Case Studies

Consumer

Industrial

Smart Cities

Transportation & Logistics

Utilities

Environment

Edge devices for home monitoring

Edge devices allow monitoring home appliances in real-time on the device, without sending data to the cloud with more privacy and security.

Home Security and Automation

With Neuton, it is easy to build compact ML models that will allow you to create Home security and automation systems using edge devices.

People and Pet Tracking

Neuton TinyML models are a perfect foundation for building People and Pet Tracking systems, allowing you to detect the location of your child or pet.

Asset Tracking

Neuton allows building models that can be embedded into edge devices with location-based analysis tools to perform AI-driven asset tracking

Commercial Building Automation

Tiny ML allows the creation of cutting-edge Commercial Building Automation systems. Manage energy consumption, heating, ventilation, and electricity by analyzing hundreds of variables straight from the devices.

Condition-based monitoring

Neuton TinyML models are used for real-time condition-based monitoring. Embedded edge devices provide 100% uptime and do not require an internet connection. (128)

Smart Cities

Neuton TinyML models play an important role in the development of next-generation city management systems. It's safer to regulate traffic, heat supply, lighting, and much more directly on the devices.

Smart Parking

AI-driven Smart Parking is performed at the device with the minimum energy consumption and doesn't require an internet connection, ensuring that your data remains private.

Smart Lighting

Cities can boost operational efficiency, and save costs by using AI-driven lighting to optimize dimming, or on/off schedule. All these operations can be performed right on the device.

Fleet management systems

Neuton TinyML models allow you to create Fleet Management systems right on the devices, which makes these systems more independent, sustainable and allows you to carry out logistics operations right on the device.

Heavy Transport Vehicles and Equipment

TinyML models can be embedded into compact devices, allowing you to do AI-driven calculations right on the device. Monitor the status of Vehicles and Equipment without transferring information to the cloud and consuming a minimum of energy.

Smart Cars

Neuton TinyML models allow you to create smart car control systems that do not depend on the transfer of information to the Internet. Calculate the temperature of hard-to-reach parts, predict breakdowns, diagnose problems - all this can be done right on the device.

Smart grid

Smart grid system implemented directly on the devices allows you to quickly detect irregularities in the quality of the power supply and other problems, even without constantly sending data to the Internet.

Smart meters

Neuton models are so compact that they allow creating utilities control systems directly on devices. Control gas, electricity, and other utilities without sending information to the cloud.

Air Quality

Neuton TinyML models can be easily embeded into edge devices, allowing you to do smart data analysis straight from ambience monitoring sensors.

Water Quality

TinyML models can be easily embedded into the smallest devices that allow you to control Water Quality by analyzing dozens of factors right on the device.

Radiation level

Neuton allows building compact models on the smallest devices that allow you to control Radiation levels by analyzing dozens of factors right on the device.

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Neuton Pricing and Options

Zero Gravity

Self-service free unlimited plan.

Enterprise Plan

Get assisted and supported

Use our service absolutely free of charge, covering only your Google Cloud Platform infrastructure costs. Get up to $500 in credits for infrastructure

Training

Unlimited number of models

Data Preprocessing

Feature Engineering

Prediction

Unlimited number of predictions via the web interface, REST API or downloaded models

Explainability

Exploratory Data Analysis

Model Interpreter

Model Quality Diagram

Model Decay Indicator

Infrastructure

Only pay for what you use. Google Cloud Platform Costs

Minimum 100 hours of training included

$0/mo

Use for Free

We provide a full range of data science services, from identifying the task objectives to its deployment into production. Our experts will pass the knowledge to your team enabling you to implement dozens AI solutions independently on a daily basis.

Support

Support 24/7

Free onboarding

Dedicated team: Data Scientist, Embedded Engineer, Project Manager

Comprehensive approach

Revealing the potential of AI

Identifying the most important AI cases

Identifying the necessary data for the use case

Data preparation, feature engineering

Building an optimal model, evaluating its quality and size

Identifying the most important factors and data-driven insights

Embedding a model into the device