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Build in Cloud.

Build the interface and workflow for your AI app in a hosted project workspace. Describe the requirements, review the build and plan the release.

Request Cloud accessAlready enabled? Open Cloud ↗Explore client projects

Cloud is in private beta. Project access, builds, source export and deployment depend on your account. Registration alone does not enable a workspace. Managed cloud services and hosted AI development execution are billed separately where applicable. Request access if you need an invitation.

Invoice-processing application concept
Document Processing · Application concept

From brief to app.

Start with a specific task, then review what was built before putting it into use.

  1. Describe the project

    Choose an app idea or write your own brief. Identify the users, data and workflow the app should support.

    Choose a starting point

  2. Build and review

    Continue in your project workspace. Inspect the preview, check the results and refine the requirements.

    Open your enabled project workspace

  3. Plan the release

    Review the deployment and source-export options available to your account. Test your app with its configured models and services.

    Continue development

Choose where it runs.

The app needs models, data and a Runtime. Choose the setup your team can operate.

LibraOS Cloud

Build in a hosted project workspace. Confirm available Runtime, model and deployment options during private-beta onboarding.

Request beta access

Your infrastructure

Run LibraOS locally or on your infrastructure. Use the Cookbook starter, or continue with eligible exported application source.

Build and run locally

Application source export and complete workspace migration are different. Confirm how data, credentials, integrations and licensing move before changing environments.

Plan the app handover.

Agree acceptance criteria, source access and operating responsibilities before launch. Review the app’s interface, business workflow and configured integrations, then record the checks that actually ran.

Review identity, data access, model usage, human review points and applicable Runtime terms for the deployment.

Review enterprise requirements
Understand licensing and usageDeliver apps for clients