The developer platform for enterprise AI agents
Rasa extends LLMs with your business logic to create reliable AI agents across millions of conversations, giving your team full control over behavior and performance.
The developer platform for enterprise AI agents
The enterprise platform for building, deploying, and managing conversational AI agents across every channel — on your infrastructure, with any LLM, under your control.
What would you like to build?
Customer support agent
Internal helpdesk agent
Search agent
Voice agent
Something else
Features
Patented dialogue management
Rasa provides a patented dialogue management system designed for enterprise AI agents. It orchestrates autonomous reasoning, guided workflows, and shared conversational memory within a builder-friendly architecture.
Teams can design, test, and refine complex conversational logic while maintaining transparency and control, enabling agents to reliably support structured business processes and adapt to real-world interactions.
On-prem / private cloud deployment
Deploy Rasa on your own infrastructure, private cloud, or fully offline environments—including air-gapped deployments when required. Organizations retain full control over their data, security, and model providers.
Built with regulated industries in mind, Rasa enables teams to meet strict compliance and governance requirements without sacrificing flexibility in infrastructure, integrations, or AI model choice.
Multi-agent orchestration
Rasa enables organizations to coordinate multiple AI agents across systems and workflows. Agents can share conversational state, access unified memory, and hand off tasks seamlessly between domain-specific skills.
This architecture allows teams to start with a single production agent and scale to a distributed network of enterprise agents without redesigning their underlying conversational infrastructure.
Open framework
Built on open principles and inspired by its open-source roots, Rasa provides full access to prompts, policies, and the underlying codebase. Teams can choose their preferred LLMs, infrastructure, and integration layers without vendor lock-in.
This flexibility allows organizations to adapt the framework to evolving requirements while maintaining full visibility and control over their AI systems.
Voice/IVR
Rasa supports real-time voice interactions designed for natural, human conversation. Low-latency processing enables streaming speech recognition, fast turn-taking, and responsive dialogue flow across phone and voice channels.
The system supports core voice primitives such as barge-in, turn-taking, and background noise handling, allowing AI agents to manage interruptions, respond quickly, and sustain fluid back-and-forth conversations.
Real-time observability and control
Rasa provides built-in tools to monitor, evaluate, and improve AI agent behavior in production. Teams can trace conversations, inspect decision paths, and analyze workflow performance to quickly diagnose issues.
With transparent logs, evaluation tools, and feedback loops, organizations maintain operational oversight while continuously optimizing agent reliability, safety, and business impact.
How it works
1: Build your conversational voice or chat agent in our open developer framework using our coding copilot to accelerate development and follow best practices.
2: Deploy your Rasa Agent on your own infrastructure while Rasa orchestrates conversations, guided flows, external agents, and knowledge retrieval.
3: Refine your agent in Rasa Studio to optimize the experience and track performance across channels and modalities.
Strong Performer
Conversational AI Platforms For Customer Service, Q2 2026 evaluated among 14 leading enterprise platforms.
The powerful engine behind reliable AI agents
The powerful engine
behind reliable AI agents
The Rasa Platform gives you complete control over how your AI agents reason, respond, and perform, offering a flexible development experience that fits both technical and business teams.
no black boxes
Build, version, and test agents with complete visibility, whether you build visually or with code.
Rasa agents stay fast, flexible, and cost-efficient by using LLMs only when needed.
Integrate with existing systems, handle complex logic, and deploy however you want, whether on premises, in your infrastructure, or managed by our partners.
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’re not experimenting with voice. We’re deploying it. That’s the difference.
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.
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 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.
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.
N26 transitioned from concept to production in just four weeks, deploying the AI assistant within their secure cloud environment to maintain full data control.
Rasa’s platform enabled us to customize and scale our AI assistant’s capabilities, ensuring it evolved with changing member needs and organizational goals.
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.
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.
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.
The powerful engine behind reliable AI agents
Built-in Voice, IVR, and
omnichannel support
Building with high trust agents drives results
See how enterprise teams ship faster, automate more, and keep full control with Rasa.
AI that adapts to your business, not the other way around
AI that adapts to your business,
not the other way around
Use Rasa across your organization and teams to automate key interactions without changing how you work.
AI that adapts to your business, not the other way around
A trusted and
experienced team
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Learn more about Rasa and Conversational AI
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.
