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Introducing the Rasa Platform

November 29th, 2023

Announcing the General Availability of the Rasa Platform

  • portrait of Lauren Goerz

    Lauren Goerz

We’re excited to announce the general availability of the Rasa Platform, our LLM-native enterprise conversational AI platform.

We’ve combined the pro-code extensibility of the [Rasa Framework] (https://rasa.com/docs/pro/intro/) with the no-code speed of [Rasa Studio] (https://rasa.com/docs/studio/intro/), making it easier and faster for teams to build, manage, and scale AI agents.

At the core is [CALM] (https://rasa.com/docs/learn/concepts/calm/) — Conversational AI with Language Models. CALM helps teams build reliable agents using language models without the usual complexity or hallucinations. The result: transparent, controllable AI that delivers better customer experiences and higher satisfaction.

Why CALM

The Rasa Platform introduces a new standard for enterprise conversational AI: LLM-native and fully controllable. Our mission is make assistants easier to build, smarter in conversation, and enterprise-ready by design.

Agents built with CALM (https://rasa.com/docs/learn/concepts/calm/) outperform traditional NLU-only systems in three key ways:

  1. Easier to Build and Maintain
    Common conversational behaviors like topic shifts, interruptions, corrections, and cancellations are handled automatically. Teams no longer need to build complex logic to manage these edge cases. That means shorter flows, less maintenance, and faster iteration.

  2. Smarter Conversations, Powered by Context
    CALM uses LLMs to understand what users mean, not just what they say. It handles multi-intent inputs, back to back questions, off-script questions, and back-and-forth exchanges more naturally than NLU alone.

  3. Full Control of the User Journey
    Unlike new agentic systems, CALM doesn't generate responses unless you’ve designed it to. You remain in control of how conversations unfold. Business logic is enforced reliably and hallucinations are avoided entirely.

And because CALM uses a dialogue planning approach, it can orchestrate complex user journeys across different flows, contexts, languages, channels and backend systems—without losing track or control. Learn more about how Rasa manages dialogue.

How to use the Rasa Platform: A unified stack for AI Agents

The Rasa Platform gives enterprise teams end-to-end capabilities to build and run production-grade assistants.

  • Developers and testers use the Rasa Framework to extend, test, integrate, and deploy with full code access.

  • Designers, analysts, and content managers use Rasa Studio’s no-code interface to build flows, review data, and continuously improve conversations.

Together, your team can collaborate across the full assistant lifecycle—from design to deployment.

Deployment options for enterprise teams:

The Rasa Platform can be deployed flexibly:

  • Self-host in your own infrastructure
  • Run in a private cloud
  • Use Rasa as a fully managed service

You choose the model that meets your security, compliance, and scalability needs.

Want to learn how the Rasa platform can help you redefine the way you interact with your customers and take your customers’ experiences to the next level? Talk with Sales.