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Neural Designer

Perform advanced analysis on your data using neural networks, without programming, or building block diagrams.

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What is Neural Designer?

Machine learning in your hands

Perform advanced analysis on your data using neural networks, without programming, or building block diagrams.

Main benefits

Advanced algorithms

You can use Neural Designer to discover complex relationships by recognizing unknown patterns, predicting real trends, or recognizing data bindings.

Easy usability

The user interface guides you through a sequence of steps, to operate the software intuitively. It also helps in viewing and understanding the results through many tables and graphs.

High performance

Neural Designer manages data very efficiently, so no project is limited by your computer. It also uses CPU parallelism and GPU acceleration reducing analysis time.

Industries and Solutions

Bank and security

Customer segmentation

Identify who is interested in your products and services. Create groups of people with the same characteristics for more relevant interactions.

Risk assessment

Assess risks by minimizing the impact of unwanted unfortunate events, significantly reducing costs.

Churn Rate Prevention

Identify customers who are likely to leave, allowing companies to take action in advance.

Engineering and manufacturing

Fault detection

Identify when a failure has occurred and be able to accurately locate it.

Predictive maintenance

Predict when equipment failure may occur and prevent the error from occurring.

Improving quality

Improve product quality by using an itethanised process linked to a predictive model.

Performance optimization

Track the behavior of a system and operate it at peak level by optimizing the result.

Retail and customer

Sales forecast

 Analyze market moving events based on past data and predict future results using predictive analytics techniques.

Health care

Activity recognition

Recognize the actions a person takes, identify the type of movement of an individual.

Early medical diagnosis

Use artificial intelligence for clinical data analysis allowing early stage disease identification and diagnosis for more successful treatments.

System Requirements

Windows

Mac

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