Rasa Enterprise enables customer communication at scale.
Next-level conversational AI for enterprises creating superior customer experiences
Leading enterprises use Rasa to build flexible, custom virtual assistants
Best-in-class conversational AI
Data security & privacy of an on-prem solution
Innovation to stay ahead of the competition
Rasa is the only choice for automating authentic customer conversations
Without the right automation strategy, personalized customer experience can be difficult - if not impossible - to scale. Rasa Enterprise makes it possible, by multiplying the power of real conversations.
Rasa supports 10 built-in messaging channels and provides endpoints for building custom connectors to any communication platform. Reach customers through support channels like IVR, chat, and SMS.
Unlike basic bots that require users to translate their requests into short, simple messages, Rasa remembers conversation context. This allows customers to express themselves naturally.
Tools to track success
Enterprise analytics and conversation review tools give teams visibility into how the assistant is helping customers. Gain insight into user behavior, to continually improve customer experience.
Authenticate your users through your SSO system for maximum security
Get an overview of the most important metrics to understand how your assistant is being used
Multiple Deployment Environments
Deploy development, staging, and production environments and confidently roll out updates
Role-based access control
Control who can develop and improve your AI assistant with fine-grained, customisable permissions
Dedicated customer success resources and customer-based SLAs
Services agreements for implementation, deployment, migration, training & specific project support
Rasa Enterprise provides infrastructure to meet the requirements of enterprise IT environments, features to enable team collaboration, and support to ensure a smooth launch and continued success.
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Latest Conversational AI Research
- Dedicated Rasa research team
- Advanced NLU & dialogue management
- Allows advanced experiments with custom algorithms
Platform to create a best-in-class solution
- No black-box - insight into how the assistant works
- Machine learning ensures continual improvement
- High-performance architecture
- Deployment on-prem, private cloud, other third party cloud provider
- Integrations to connect to existing systems
- Serve your assistant on multiple channels - website or app, Facebook Messenger, Twilio, and more
Rasa Open Source
Open source framework to build high-performing, resilient, proprietary AI assistants.
Rasa Open Source provides the infrastructure necessary to create great AI assistants that:
- Understand messages & create meaningful conversations
- Employ machine learning to improve those conversations
- Integrate seamlessly with existing systems and channels
Toolset to capture data and improve AI assistants.
Running on top of Rasa Open Source, Rasa X strengthens & extends its features, allowing individual developers to:
- Conduct usability testing and review conversations
- Improve assistant based on learnings
- Deploy new updates to users
Enterprise-ready subscription to develop and ship contextual AI assistants at scale.
Rasa Enterprise is an integrated platform that includes Rasa Open Source + Rasa X - plus additional features and services that support team collaboration and enterprise-grade deployment:
- Role-based access control
- Multiple deployment environments
- Single Sign-On
- Service Level Agreements
- Deployment and Installation Support
- Expert Support available
Looking for a trusted advisor? Let us help.
Rasa works with teams at the world’s leading companies to build AI assistants that provide real value to customers. From conceptual design to secure and scalable deployment, Rasa provides the technical foundation and the support for organizations to succeed.
Rasa offers targeted support packages designed to decrease time to market and help you succeed at every stage.
Get new projects off the ground. Rasa experts help your team establish a solid action plan and make the right decisions in the crucial early stages of development.
Optimize your existing deployment and architecture. Learn how to remove bottlenecks and overcome obstacles to get your assistant running at peak performance.
Ensure a seamless transfer from legacy architecture to Rasa. Go beyond data migration with detailed audits that help you unlock the full potential of your assistant.