A free toolset to build, improve, and deploy contextual assistants across channels and languages, powered by the Rasa open source ML frameworkGet Started
Turn free-form text in any language into structured data. Supports single and multiple intents and both pre-trained and custom entities.
Hold back-and-forth conversations that remember context using machine learning-based dialogue management. Seamlessly integrate your business logic.
Generate training data by talking to your assistant and provide feedback when it makes an error.
Run your assistant on Slack, Facebook, Google Home, custom channels, and more.
Interact with other APIs and systems through custom actions.
Filter, flag, and fix conversations that didn’t go well to continually improve your assistant.
Track and manage your models: promote to production or easily roll back.
Ready-to-deploy Docker containers and orchestration to run Rasa on premise or using your favourite cloud provider
We offer an Enterprise Edition with additional features and SLAs.
Deploy development, staging, and production environments and confidently roll out updates
Control who can develop and improve your assistant with fine-grained, customizable permissions
Authenticate users through your SSO system for maximum security
Get an overview of the most important metrics to understand how your assistant is being used