What it is
Rasa is a conversational AI platform with open-source roots, built for teams that want control over their assistant and their data.
What you'd use it for
You would use Rasa to build a custom support assistant you can run on your own infrastructure, including on-premise, when data residency or control matters.
Examples of use
A team wants full control over its support assistant. Its own engineers build it in Rasa and control it line by line.
A company's data cannot leave its infrastructure. It runs the Rasa assistant fully on-premise.
A team has a rule-based assistant and wants generative answers too. It adds Rasa's commercial generative layer without giving up control.
A company has privacy and compliance constraints. With Rasa it keeps customer conversation data inside its own environment.
An assistant needs to handle a conversation in an unusual way. The team customises it in ways a packaged product would not allow.
A company has outgrown what its closed helpdesk bot can be made to do. It moves onto Rasa, which its engineers can deploy and control themselves.
How it works
Rasa pairs its open-source framework with a commercial generative layer. It is built to be deployed and controlled by the customer's own engineers.
How it compares
Rasa is the option for teams that want to build and host the assistant themselves, where Cognigy and Kore.ai are managed enterprise platforms. It needs engineering resources the others do not.
What others say
A well-known platform in the developer and enterprise conversational AI community. No current Gartner or Forrester position was confirmed in research.