Proactive agents that think, adjust, and guide.

Passive bots Proactive agents

that think, adjust, and guide.

Rasa gives you the infrastructure to create and manage AI agents that take initiative, clarify when needed, and adapt to real-world complexity.

Let your agents think flexibly and act predictably

Let your agents think

flexibly and act predictably

Enable decision-making and adaptability without improvising every move.

LLMs suggest next steps, guiding users through structured or autonomous flows

Blend freeform understanding with deterministic or autonomous process execution

Keep conversations on track even when users change their minds, backtrack, or switch topics

Use LLMs for what they’re good at—nothing more

Use LLMs for what they’re

good at

Rasa’s CALM architecture doesn’t bolt on LLMs. It integrates them intelligently, so your agents stay flexible when needed and predictable by default.

Understand the user's intent with a language model or NLU

Use LLMs to improve conversational quality without giving up control over logic

Let Flows drive behavior, while LLMs support phrasing, repair, and natural understanding

Handle long-range goals and unexpected turns

Handle long-range goals

and unexpected turns

Let agents complete complex tasks and recover from interruptions naturally.

Manage multi-step goals that span different domains and user journeys

Use modular skills that hand off cleanly without relying on brittle, hardcoded paths

Use guard conditions and fallback routines to maintain control at every step

The building blocks for real-world-ready AI agents

The building blocks for

real-world-ready AI agents

See what our customers are saying

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

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

We've built a scalable, compliant platform with Rasa that supports real patient needs and drives measurable outcomes. CALM gives us a framework to keep that momentum going, with the flexibility to grow responsibly as expectations around AI continue to evolve. Wayne Foley, Director Software Engineering, Digital Innovation Group, at Providence

With Rasa, we launched quickly and gave citizens a simpler way to access government services. The system allows us to expand at our own pace while controlling how services are delivered. Studio and CALM allow us to build new use cases while maintaining stability as the platform grows. Bogdan Stešević, Head of the Group for Quality of Services and Development of AI at eUprava

We’re not experimenting with voice. We’re deploying it. That’s the difference. Loic Mayet, Information Systems Director, Groupe IMA

Switching to Rasa accelerated development. We now process thousands of conversations each month with 96% accuracy, which resulted in better user engagement and more searches per conversation. Edmundas Balčikonis, CEO, Eddy Travels

We developed a real partnership with Rasa based on developing skills rapidly, correcting bugs quickly, and sharing a wish list with the dev team. Richard Popa, Project Leader and Solutions Manager, Orange

Albert Heijn adopted Rasa and began migrating to CALM through a coexistence strategy — starting with a single flow and gradually expanding coverage, achieving a 22% improvement in prevented contact rate and a 37% increase in quality score. Albert Heijn, Largest supermarket chain in the Netherlands

Grace acts as a multi-purpose patient-facing assistant — booking appointments, routing based on symptoms, and helping users navigate their care journey entirely through our app. Providence Health, Digital Innovation Team

With Rasa, we consolidated five bots into a single assistant experience. Fallback rates dropped from 18% to 3.5%, and we’re now expanding to voice. nib Group, Digital Team Lead

N26 transitioned from concept to production in just four weeks, deploying the AI assistant within their secure cloud environment to maintain full data control. N26

Rasa’s platform enabled us to customize and scale our AI assistant’s capabilities, ensuring it evolved with changing member needs and organizational goals. nib Group

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

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

Build your next AI

agent with Rasa

Power every conversation with enterprise-grade tools that keep your teams in control.