Multilingual AI without duplicating effort

Multilingual AI without

Rasa helps you expand globally with agents that adapt to language, tone, and context while reusing flows, logic, and infrastructure across markets.

Build once, deploy everywhere

Design shared conversation logic and adapt content, tone, and language per region without duplicating core workflows

Support multiple languages using shared Flows and logic

Reuse dialog structures across locales while customizing phrasing where needed

Expand into new markets faster without rebuilding core functionality

Adapt mid-conversation without losing context

Switch languages naturally while keeping the conversation coherent, personal, and on track.

Support code-switching and language changes without starting over

Keep conversations relevant by remembering where the user left off

Localize tone and phrasing while preserving intent and flow

Scale globally without sacrificing brand voice

Deliver consistent, high-quality experiences across languages—while giving teams the flexibility to adapt for local markets.

Maintain tone, messaging, and quality across every language and region

Reuse conversation structures without rewriting your entire experience

Localize only where it matters for cultural nuance, regulations, or customer expectations

The building blocks for real-world-ready AI agents

Chat

Power structured, multi-turn conversations across every messaging channel.

Voice

Turn your agent into a real-time voice experience with enterprise-grade performance.

Agentic AI

Blend autonomy with guardrails to create AI agents that adapt while staying under control.

Multilingual AI

Expand globally with agents that switch languages, track context, and maintain brand consistency.

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.