Build great conversational AI in-house

Open source machine learning tools for developers and product teams to expand bots beyond answering simple questions.

A diagram of an AI assistant conversation showing the next predicted action by Rasa Core

TRUSTED BY

FOR DEVELOPERS

Open source intent classification and entity extraction with Rasa NLU

Check out the NLU docs →

FOR RASA STACK USERS

Unlock more APIs, a UI and enterprise-grade support

Explore features →

FOR ENTERPRISE

Enterprise-ready solutions for conversational AI at scale

Learn More →

Conversations are rarely just one question and one answer. With Rasa you can build bots that can handle back-and-forth with your customers.

Handle contextual conversations with deep learning instead of hand-crafted rules

Open Source and fully customisable for the enterprise IT landscape

Latest machine learning research integrated for best results

A screenshot of an example conversation between a lead generation AI assistant and insurance customer

Customer Stories

A 30% conversion rate selling insurance policies through automated conversations via text message

Helvetia, a leading Swiss insurance company, wanted to reduce their customer acquisition costs, as human agents are very expensive.

Using Rasa's unique contextual conversation AI, Helvetia was able to handle complex conversations with deep backend integrations and achieve end-to-end automation.

Rasa works across industries

Insurance

Banking

Healthcare

Telecom

Travel
& Transport

As seen on:

Rasa Stack

Open Source for developers to power conversational AI, trusted by the Fortune 500

Handle contextual, back-and-forth conversations with interactive machine learning instead of hand-crafting rules. Understand your customer's intent and extract entities with state of the art NLU.

Rasa Platform

Build and train together with your team, faster than ever

Power up your team with Rasa Platform. Unlock a powerful set of APIs and an intuitive user interface, along with our extensive customer success program.