High-trust AI isn't magic. It's engineering.

High-trust AI isn't magic. 

It's engineering.

CALM (Conversational AI with Language Models) takes a different path than typical AI platforms. While most agents rely on LLMs for everything—or hide decision-making in a black box—CALM separates language from logic.

Top enterprises trust Rasa

How CALM keeps your AI on track

CALM extends the flexibility of LLMs with the reliability of deterministic logic. The LLM interprets what the user wants. The logic decides what happens next. That separation keeps your agents fast and predictable.

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Dialogue understanding

CALM uses LLMs to understand what the user wants, even when inputs are long, unclear, or unpredictable. Language understanding can be separated from decision-making, so you avoid brittle logic, hallucinations, and hidden behavior.

Business logic

Every action runs through structured, versioned Flows, so you define exactly what your agent does and when.

CALM uses LLMs only when needed, keeping your agent fast and cost-efficient. With testable, fully inspectable logic, you can avoid unpredictable regressions.

Conversation repair

If a user changes topics or backtracks, CALM picks up the thread and keeps the experience smooth.

With built-in Flows and rules, your agent can re-ask, clarify, or guide users back on track—no custom code required.

How CALM keeps latency low and costs down

How CALM keeps latency 

low and costs down

Legacy conversational AI tools just bolt LLMs onto old intent-based systems, let them improvise every move, and call it “composite design.”

CALM is different. It combines the flexibility of LLMs with the structure of deterministic logic.

CALM

  • Avoids unnecessary LLM calls, promoting cost effectiveness and low latency
  • Interprets conversations through LLMs and helps phrase responses
  • Defines exactly what happens through deterministic flows
  • Is debuggable, versioned and built for real-world complexity

Legacy “Hybrid” Platforms

  • Bolts LLMs onto rigid NLU systems
  • Locks into fixed classifiers, handling only one task at a time
  • Struggles when users change topics or goals
  • Handles surface-level tasks, not high-stakes conversations

See what our customers are saying

customers

See what our 

customers are saying

Enterprise teams use Rasa to build and deploy high-trust AI agents that perform in production.

With Rasa, we at ERGO are completely rethinking how we build customer support experiences. It’s about developing faster and cheaper, and at scale. Rasa helps us to realize these goals.

Gregor Wiest
Head of Innovation, ERGO Group AG

Since the chatbot based on Rasa CALM can process around 50% of service desk inquiries independently, we reduced the need for human agents by approximately 30%. Thanks to the excellent backend integration capabilities of the Rasa solution, we quickly implemented the chatbot’s self-service features.

Roland Csibi
Service Hub Owner – User Support Service Hub

Our goal was to align cutting-edge AI technology with customer needs to provide seamless and innovative experiences. Partnering with Rasa allowed us to rethink how conversational AI could transform support.

Daniel Schupmann
Head of CAI/ GenAI @B2C and Digital Care Platforms/ Experience

We needed a solution that could scale with our ambitions. Rasa solves some hard problems related to conversational AI that enable us to move faster.

James Bradley
Senior Director of Data Science & Machine Learning

AI that adapts to your business, not the other way around

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