The best way to run Rasa
An enterprise grade infrastructure suite to help you scale, secure, and monitor your AI Assistant.
Rasa Pro: Built with the Rasa Open Source Framework
With over 25+ million downloads, Rasa is the most-used conversational AI Framework on the market.
Extensible Natural Language Understanding
The Rasa open conversational AI framework isn’t a black box. This gives you the freedom to plug and play language models like BERT and GPT into Rasa, or bring your own embeddings. Understand your customers in their own words, in any language.
Contextual Dialogue Manager
Rasa’s Machine learning-powered dialogue manager levels up the standard conditional dialogue tree. You can use it out of the box, or update and customize it for more contextual dialogue flows.
Foundational Rasa Pro Capabilities
Extend our open source framework with analytics, security and observability capabilities.
Advance your deployment capabilities with Rasa Pro.
- Deploy on-premises or in your private cloud with our Kubernetes Helm charts
- Or choose Rasa-as-a-Service for a fully managed service running the Rasa Platform in your preferred cloud
Built-in Multi-Channel Connectors plus endpoints to connect with databases, APIs, voice IVRs, and other data sources.
Resolve performance issues faster and identify bottlenecks through OpenTelemetry-based tracing.
Track and visualize Rasa Assistant performance.
- Use our conversation analytics pipeline to track assistant metrics in the tooling (BI tools, data warehouses) of your choice
- Add Real-Time Markers to track key moments in your customer journeys for targeted analysis
Rasa Pro Solution Sheet
Read more about all of the features and capabilities of Rasa Pro. The best way to set up AI assistants for scale.