Our deep learning platform allows you to create, test & deploy AI models on your own

  • Ease of use

    Solve problems with AI by learning one tool instead of a patchwork of many.

  • No boring bits

    We handle infrastructure and ML lifecycle. You can focus on solving your problem.

  • One-click deployment

    One click to deploy your models directly from platform to production.

The Peltarion Platform is a cloud-based operational AI platform that allows you to build and deploy your own deep learning models, even if you’re not an AI superstar.

We’re on a journey to make AI accessible for solving a wide range of problems, at any company, in any industry. We invite you to join us in making AI completely operational with our cloud-based, easy-to-use platform.

Get started for free with our Community package today or contact us about Enterprise service packages to jumpstart your organization’s AI adventure.

02/ What's good about the platform?

  • Unprecedented speed

    The fast track through the full development cycle, from data to deployment, on one web-based platform

  • Everything in once place

    An integrated visual development environment for deep learning

  • Easy to deploy

    Deploy optimal models right from the platform, with experiment and data versions that are auditable

  • Free

    Costs you nothing to get going, with a generous starting package and further compute or storage charged at cost

  • Community

    • Access for two users
    • 50 GPU hours for FREE
    • 50 GB storage for FREE
    • Pay as you go (or don't)
    Read More
  • Enterprise

    • Full team access with collaboration
    • Enhanced SLAs
    • Enhanced and prioritized performance, on the latest GPUs
    • Services: our deep learning know-how enables a fast start
    Read More

03/ Platform overview

  • Home and projects view of the Peltarion Platform
    Projects

    Projects view allows you to create a new project, select, edit or delete an existing project.

  • Datasets view of the Peltarion Platform
    Datasets

    Datasets view allows you to import, preprocess, augment and manipulate data to run experiments. The view gives a full overview of all the datasets available to the user, and gives access to information about the available datasets.

  • Modeling view of the Peltarion Platform
    Modeling

    The modeling view area allows you to build an AI deep learning model in one place. You can start from scratch or select from a series of preloaded snippets, build a model yourself or work with a colleague on the same one. There is no coding required, just drag and drop to build your model.

  • Evaluation view of the Peltarion Platform
    Evaluation

    In the evaluation view, you can see in real time how the AI model is performing as it’s learning from the data. You can see the results of multiple experiments at the same time, so it’s easy to compare different models. The view lets you analyze in real time if the experiment is going in the right direction or not.

  • Deployment view of the Peltarion Platform
    Deployment

    When a model has been built and trained, it is time to deploy. Currently, you can deploy as API in the deployment view.

  • Projects

    Projects view allows you to create a new project, select, edit or delete an existing project.

  • Datasets

    Datasets view allows you to import, preprocess, augment and manipulate data to run experiments. The view gives a full overview of all the datasets available to the user, and gives access to information about the available datasets.

  • Modeling

    The modeling view area allows you to build an AI deep learning model in one place. You can start from scratch or select from a series of preloaded snippets, build a model yourself or work with a colleague on the same one. There is no coding required, just drag and drop to build your model.

  • Evaluation

    In the evaluation view, you can see in real time how the AI model is performing as it’s learning from the data. You can see the results of multiple experiments at the same time, so it’s easy to compare different models. The view lets you analyze in real time if the experiment is going in the right direction or not.

  • Deployment

    When a model has been built and trained, it is time to deploy. Currently, you can deploy as API in the deployment view.

Projects view allows you to create a new project, select, edit or delete an existing project.

Datasets view allows you to import, preprocess, augment and manipulate data to run experiments. The view gives a full overview of all the datasets available to the user, and gives access to information about the available datasets.

The modeling view area allows you to build an AI deep learning model in one place. You can start from scratch or select from a series of preloaded snippets, build a model yourself or work with a colleague on the same one. There is no coding required, just drag and drop to build your model.

In the evaluation view, you can see in real time how the AI model is performing as it’s learning from the data. You can see the results of multiple experiments at the same time, so it’s easy to compare different models. The view lets you analyze in real time if the experiment is going in the right direction or not.

When a model has been built and trained, it is time to deploy. Currently, you can deploy as API in the deployment view.

04/ Case studies