Welcome to the Knowledge center
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Getting started
Build, train and deploy AI models faster than ever. Start today
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Tutorials
Discover the Peltarion Platform's capabilities and features. Join us on the journey to operational AI!
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Snippets
Pre-built and ready to use neural network models
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Create your own house price valuation model
Solve a regression problem using multiple sets of input data
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Video examples
Watch our webinar recordings for walkthrough examples of how to use the Platform
The Peltarion Platform
The Project view gives you an overview of all your projects. These can be projects that you collaborate with colleagues on or projects that you have created yourself.
The Datasets view shows all the information you need about your available datasets. You can upload your own datasets or access ones that have been shared with you.
It’s in the Modeling view that you and your team build AI models. Share, learn and build on the work of others. You can run multiple experiments simultaneously on cloud GPUs while building new models.
The Evaluation view lets you analyze in real time if the experiment is going in the right direction or not. It’s quick and easy to compare performance between models using various metrics to identify the ones you want to deploy.
From the Deployment view, you can make your model quickly available via an API for integration with external applications and services. Your AI modeling cycles from data through to deployment are made exponentially faster.
The Project view gives you an overview of all your projects. These can be projects that you collaborate with colleagues on or projects that you have created yourself.
The Datasets view shows all the information you need about your available datasets. You can upload your own datasets or access ones that have been shared with you.
It’s in the Modeling view that you and your team build AI models. Share, learn and build on the work of others. You can run multiple experiments simultaneously on cloud GPUs while building new models.
The Evaluation view lets you analyze in real time if the experiment is going in the right direction or not. It’s quick and easy to compare performance between models using various metrics to identify the ones you want to deploy.
From the Deployment view, you can make your model quickly available via an API for integration with external applications and services. Your AI modeling cycles from data through to deployment are made exponentially faster.