Multilingual AI without duplicating effort
Multilingual AI without
duplicating effort
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
Build once,
deploy everywhere
Design shared conversation logic and adapt content, tone, and language per region without duplicating core workflows
Adapt mid-conversation without losing context
Adapt mid-conversation
without losing context
Switch languages naturally while keeping the conversation coherent, personal, and on track.
Scale globally without sacrificing brand voice
Scale globally without
sacrificing brand voice
Deliver consistent, high-quality experiences across languages—while giving teams the flexibility to adapt for local markets.
The building blocks for real-world-ready AI agents
The building blocks for
real-world-ready AI agents
Power structured, multi-turn conversations across every messaging channel.
Turn your agent into a real-time voice experience with enterprise-grade performance.
Blend autonomy with guardrails to create AI agents that adapt while staying under control.
Expand globally with agents that switch languages, track context, and maintain brand consistency.
See what our customers are saying
See what our
customers are saying
Enterprise teams use Rasa to build and deploy high-trust AI agents that perform in production.
We've built a scalable, compliant platform with Rasa that supports real patient needs and drives measurable outcomes. Rasa gives us a framework to keep that momentum going, with the flexibility to grow responsibly as expectations around AI continue to evolve.
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. Rasa allows us to build new use cases while maintaining stability as the platform grows.
We’re not experimenting with voice. We’re deploying it. That’s the difference.
We developed a real partnership with Rasa based on developing skills rapidly, correcting bugs quickly, and sharing a wish list with the dev team.
Albert Heijn started with a single flow and gradually expanded coverage, achieving a 22% improvement in prevented contact rate and a 37% increase in quality score.
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.
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.
With Rasa, we were able to scale our customer service and grow our user base significantly, and still provide the best customer experience. We further have more time to concentrate on the most important requests.
Rasa’s platform enabled us to customize and scale our AI assistant’s capabilities, ensuring it evolved with changing member needs and organizational goals.
Since the chatbot based on Rasa 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.
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.
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.
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.
