Rasa is essential in creating great AI assistants
Building contextual assistants & chatbots that really help customers is hard. Rasa provides infrastructure & tools necessary for high-performing, resilient, proprietary contextual assistants that work. With Rasa, all developers can create better text- and voice-based assistants.
Powered by Rasa Open Source - downloads since launch
Understand messages, use machine learning to improve those conversations, and integrate assistants & chatbots with existing systems and channels. Used by developers, development teams, and enterprises.
Access to Latest Research
Rasa invests in extensive research to create leading-edge conversational AI, enabling developers to create the best text- and voice-based assistants, without a dedicated research team
Cutting Edge NLU
Rasa's NLU provides developers with the technology to understand messages, determine intent, and capture key contextual information. Supports multiple languages, single and multiple intents, and both pre-trained and custom entities
Dialogue management with machine learning
Assistants built on Rasa can hold meaningful conversations with users - multi-step conversations that remember context and integrate business logic. Rasa learns interactively from real conversations - no state machines
Flexible options to support building the assistant your customers need
Straight out-of-the-box software seems easy, but a flexible architecture is necessary for great conversational AI
Deployment
Choose the best option for deployment: on-prem, private cloud, or third-party cloud provider
Integrations
Connect to existing systems, APIs, RPA, and knowledge bases
Channels
Meet customers where they are: website or app, common messaging apps, or create a custom channel
Trusted by leading companies around the world
Security
SSO, RBAC, and on-prem deployment can be used to ensure compliance with company security policies
HIPAA Compliant
Build HIPAA-compliant AI assistants with Rasa Open Source
Data Privacy
Keep customer data secure with on-prem or private cloud deployment
Start creating your own contextual AI assistant!
