Keep your RAG-powered agent as current as your business
Keep your RAG-powered
agent as current as your business
Rasa’s Enterprise RAG retrieves information in real time so every answer is fresh, verifiable, and aligned with your trusted data.
Make every response feel natural and human
Plug into your
trusted sources
Bring your own databases, document stores, and knowledge bases to power your agents.
Keep your AI up to date conversations
Keep your AI up to date
without retraining
Give your agent the flexibility to access live information with the structure and safeguards needed for real-world operations.
Automate with confidence. Connect with trust.
Retrieve answers that match
the users' journey, not just
their last message.
Deliver responses that reflect where the user is, what they’ve said, and what they’re trying to do.
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.
Deliver accurate understanding with full control over intents, entities, and multilingual pipelines.
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.
