Create assistants that go beyond basic FAQs

A free toolset to build, improve, and deploy contextual assistants across channels and languages, powered by the Rasa open source ML framework

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Understand messages

Turn free-form text in any language into structured data. Supports single and multiple intents and both pre-trained and custom entities.

Hold conversations

Hold back-and-forth conversations that remember context using machine learning-based dialogue management. Seamlessly integrate your business logic.

Interactive learning

Generate training data by talking to your assistant and provide feedback when it makes an error.

Connect to messaging channels

Run your assistant on Slack, Facebook, Google Home, custom channels, and more.

Integrate your APIs

Interact with other APIs and systems through custom actions.

View and annotate conversations

Filter, flag, and fix conversations that didn’t go well to continually improve your assistant.

Version and manage models

Track and manage your models: promote to production or easily roll back.

Deploy anywhere

Ready-to-deploy Docker containers and orchestration to run Rasa on premise or using your favourite cloud provider

Start creating your own contextual AI assistant!

Want to run Rasa in a big company?

We offer an Enterprise Edition with additional features and SLAs.



Multiple deployment environments

Deploy development, staging, and production environments and confidently roll out updates

Role-based access control

Control who can develop and improve your assistant with fine-grained, customizable permissions

Single Sign-On

Authenticate users through your SSO system for maximum security

Analytics

Get an overview of the most important metrics to understand how your assistant is being used