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Neuton AutoML
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Neuton Currently Features
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Neuton
Automated Machine Learning
Explore data insights and make predictions leveraging Automated Machine Learning without any coding
Start for Free
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Neuton's Business Outcomes
Solve regression, time series, binomial and multinomial classification problems to:
Explore business insights
Do predictive analytics
Make smart forecasts
Reveal correlations
Perform rankings
Perform segmentation
Learn more Use cases
Old way
A lot of companies, especially those from the small and midsize segments, face many or all of the following significant challenges when attempting to implement AI:
Lack and high cost of data scientists
Rigorous tech and math skills
High cost of implementation and support
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with Neuton
Have unlimited number of data scientist for the cost of Neuton’s subscription.

As a result, Neuton makes the process of AI solution implementation easy, fast and inexpensive.
10 times faster Go to Market
70% less cost of implementation
90% less cost of support
Ease of Use
Straightforward interface with a fully automated process
Beautiful and user-friendly interface and layout
AI solution creation in 3 clicks
No coding or experience in data science needed
Learn more
Upload your data
Train your Models
Make Predictions
Ease of Use
Upload your data easily via drag & drop
Work with text, categorical variables, floats, integers, and time series
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Train your Models
Fast and fully automated process
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Use your models for prediction
via Web interface, REST API or on your on-premise software
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State of the Art Data Preprocessing and Feature Engineering
Missing values imputation using tree based machine learning models
Analysis of feature correlations with the target variable
Creation of feature interactions
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Unique Resulting Models
Self-growing and learning
Up to 100 times smaller and faster than those built with other solutions
Accuracy is not affected by compactness
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Neuton Explainability Office ®
Exploratory Data Analysis
Feature Importance Matrix with class granularity
Model Interpreter
Feature Influence Indicator
Validate Model on New Data
Model-to-Data Relevance Indicators historical and for every prediction
Model Quality Diagram
Confidence Interval
Extensive list of supported metrics with Radar Diagram
Learn more
Neuton AutoML let us automate the entire model lifecycle and freed our heads for more complicated tasks. Such tasks should definitely be solved automatically, without the involvement of expensive highly qualified specialists.
ANDREW K.
Head of Data, LITRES
Read how the largest ebook retailer in Europe forecasts new books sales
Case Study
We look forward to further using Neuton to provide high quality forecasting products to Wavemaker clients. We are positive that it will stimulate customer satisfaction rate and revenue growth by applying more effective and efficient marketing campaigns.
Anton Kolesnikov
Head of Technology Hub, Wavemaker
Read how the media agency optimizes media planning
Case Study
Accurate forecasting using Neuton models allowed our clients to correctly push the sales of products to retail outlets and reduce lost revenue.
Vinay Singh
CEO, BeatRoute
Read how Sales Force Automation CRM Software predicts the demand for each product at each point of sale in advance
Case Study
What makes our members stay with Redwood CU is that we anticipate their needs and we find the solution that helps them with their financial lives. AI helps us drive that making us successful.
TONY HILDESHEIM
Chief Administrative Officer, Redwood Credit Union
Watch Video
When we tested Machine Learning against actual human performance in blind studies and measured the results over time, we found out that in every case ML was more accurate than a human.
RICHARD D. LUTKUS
Partner, eDiscovery and Information Governance, Seyfarth
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Neuton Pricing and Options
gravity
free
Test your hypothesis
FIRST LAW
Solve your urgent business needs
SECOND LAW
Use AI at scale in the cloud
THIRD LAW
Use AI at scale on your premise
Training
GPU Training and Model Creation
Unlimited
Prediction
Web interface
100 Rows per Prediction File
100 Rows per Prediction File
Unlimited
REST API
5000 API Requests Per Month
5000 API Requests Per Month
Unlimited
On-premise
No Downloadable Models
No Downloadable Models
Downloadable Models
Infrastructure
Google Cloud Platform Costs:
Storage - $0.04 GB/month
Prediction Time - $0.04 per hour
Training Time - $0.88-4.82 per hour
(Depends on the number of rows in a dataset. See details)
Average Monthly Costs:
$65.00
Get up to $500 in credits
$0/mo
For Direct use only
Start for Free
One year commitment
Training
GPU Training and Model Creation
Unlimited
Prediction
Web interface
Unlimited
100 Rows per Prediction File
Unlimited
REST API
Unlimited
5000 API Requests Per Month
Unlimited
On-premise
No Downloadable Models
No Downloadable Models
Downloadable Models
Infrastructure
Google Cloud Platform Costs:
Storage - $0.04 GB/month
Prediction Time - $0.04 per hour
Training Time - $0.88-4.82 per hour
(Depends on the number of rows in a dataset. See details)
Average Monthly Costs:
$65.00
Get up to $500 in credits
$499/mo
$699/mo
For Direct use only
Start for Free
One year commitment
Training
GPU Training and Model Creation
Unlimited
Prediction
Web interface
Unlimited
100 Rows per Prediction File
Unlimited
REST API
Unlimited
5000 API Requests Per Month
Unlimited
On-premise
No Downloadable Models
No Downloadable Models
Downloadable Models
Infrastructure
Google Cloud Platform Costs:
Storage - $0.04 GB/month
Prediction Time - $0.04 per hour
Training Time - $0.88-4.82 per hour
(Depends on the number of rows in a dataset. See details)
Average Monthly Costs:
$65.00
Get up to $500 in credits
$499/mo
$699/mo
For Direct use only
Start for Free
Training
GPU Training and Model Creation
Unlimited
Prediction
Web interface
Unlimited
100 Rows per Prediction File
Unlimited
REST API
Unlimited
5000 API Requests Per Month
Unlimited
On-premise
Downloadable Models
No Downloadable Models
Downloadable Models
Infrastructure
Google Cloud Platform Costs:
Storage - $0.04 GB/month
Prediction Time - $0.04 per hour
Training Time - $0.88-4.82 per hour
(Depends on the number of rows in a dataset. See details)
Average Monthly Costs:
$65.00
Get up to $500 in credits
$899/mo
For Direct use only.
One year commitment.
Start for Free
News
See all
Event
Video
06.08.2021
Neuton CTO Delivers the Keynote Speech at TinyML Forum
Neuton CTO Blair Newman delivers the keynote speech on how to build tiny but extremely accurate models with our Neuton Platform.
Watch Video
Article
06.07.2021
Machine learning at the edge: TinyML is getting big
Being able to deploy Machine Learning applications at the edge is the key to unlocking a multi-billion dollar market. TinyML is the art and science of producing ML models small enough to work at the edge, and this area is currently seeing rapid growth.
Read More
Podcasts
07.06.2021
Machine Learning at the edge
TinyML is getting big. Featuring Qualcomm Senior Director Evgeni Gousev, Neuton CTO Blair Newman and Google Staff Research Engineer Pete Warden.
Read More
Features
Differentiators
Neuton’s key value proposition
Neuton Currently Features
Neuton’s key capabilities
Problems Neuton solves
Regression, time series, classification
Positioned for the Future
Support of Image/Audio/Video, multi host training
Release Notes
New features and bug fixes
Support
FAQ
Most frequently asked questions and detailed answers
Video Tutorials
Neuton’s brief and detailed overviews
USER GUIDES
Learn how to subscribe and to use Neuton
Webinars
Technical and business focused webinars
All Things Neuton
About Us
Our company and team overview
Media about Neuton
ZDNet, Forbes, Forrester and other media about Neuton
Use Cases
Top use cases for every industry
Neuton’s Divine Journey
Our story and inspiration
Free Credits
You can use Neuton’s free Gravity plan, accompanied by eligible free trial credits to cover infrastructure costs.
Register as a new customer within the Google Cloud Platform to be eligible for up to $300 in free trial credits.
Corporate customers are also eligible for an additional $200 in credits on top of the $300 free trial credits. In order to be qualified to redeem the additional $200 credits, customers must register as a new customer with Neuton using a corporate email domain (no personal email accounts allowed, e.g. Gmail, Yahoo).
Once you have exceeded your available credits, or after 90 days (whichever comes first) you will then be charged infrastructure fees when training models and making predictions, until you stop usage or terminate the subscription. You may cancel the subscription at any time by cancelling your plan.

IMPORTANT NOTE: You must upgrade to a paid Cloud Billing account during this period (within 90 days and before you have exceeded your credits) in order to continue using Google Cloud. Otherwise, Google automatically terminates the account when the credits are used or the 90 days expire, and when they do so, you will immediately lose all data and created models.
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Google Cloud Platform Costs:
Training Time
Traning Time (0-1000 rows of data) - $0.88 per hour
Traning Time (1001-5000 rows of data) - $1.44 per hour
Traning Time (5001-50000 rows of data) - $2.56 per hour
Training Time (>50,000 rows of data) - $4.82 per hour
Hosting Time
$0.04 per hour
Storage Time
$0.04 GB/month
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Neuton AutoML
Features
Differentiators
Neuton Currently Features
Neuton Core Components
Explainability Office
Problems Neuton solves
Positioned for the Future
Release Notes
Try and Buy
Start for Free
Pricing Plans
Support
FAQ
Video Tutorials
Quick Start
User Guide
Registration Guide
Contact Us
All Things Neuton
About Us
News
Business Outcomes
Use Cases
Neuton’s Divine Journey
Webinars
Neuton Framework
Unique features
How is it Different?
Neuton vs. Others
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