Neuton Platform Structure

The Neuton Platform enables fast and seamless creation of optimal models, offering a high level of automation in data processing and neural network pipeline generation. In addition, the platform significantly optimizes cloud resource usage.

Below you will find an overview which showcases the core components that Neuton leverages in its workflow to provide exceptional results.

Data Validation Windowing Feature Extraction Feature Selection Neuton Neural Network Creation Exploratory Data Analysis Feature Importance Matrix Model quality and size evaluation tools С Library Inference runner Automated Storage Provisioning Automated Virtual Machine Provisioning

Google cloud

Automated Storage Provisioning

The platform automatically executes provisioning and de-provisioning of storage for each respective model to ensure maximum data security.

Automated Virtual Machine Provisioning

During both the training and prediction phases, the platform automatically executes provisioning and deprovisioning of virtual machines with the most suitable configurations, based on dataset parameters.

During the prediction phase, virtual machine usage/time is controlled by the user through a user-friendly interface.