Open source tools to build contextual AI assistants

The Rasa Stack is a set of open source machine learning tools for developers to create contextual chatbots and assistants. Supported by thousands of community members.

Circle MedicalCircle Medical
BMWBMW
HelvetiaHelvetia
TalkspaceTalkspace
ErgoErgo
ParallonParallon
AllianzAllianz
RaiffeisenRaiffeisen
AXAAXA
UBSUBS
ZurichZurich
Yellow PagesYellow Pages
TiaTia

RASA NLU

Open source natural language understanding

Check out NLU →

RASA PLATFORM

Unlock more APIs, a powerful UI and enterprise-grade support

Explore Platform →

SOLUTIONS

Enterprise-ready solutions for contextual AI assistants at scale

Learn More →

Open source AI assistant tools that support context in conversation to effectively engage with your customers

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

Open source and fully customisable, designed for the enterprise IT landscape

Cutting-edge machine learning technology ensuring the best available customer experience

As seen on:
As seen on TechCrunch
As seen on BBC
As seen on Bloomberg
As seen on Business Insider
As seen on Forbes 30 Under 30
As seen on VentureBeat
As seen on O'Reilly
A diagram showing end to end integration of the open source Rasa Stack with backend systems

The Rasa Stack

Open source for developers to power contextual AI assistants, 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.

A screenshot of the Rasa Platform user interface
A screenshot of Tia's HIPAA compliant AI assistant automating client conversations using the Rasa Stack

Customer Stories

A healthcare startup used Rasa to add HIPAA-compliant natural language understanding to their app, in just days

Tia, a leading San Francisco-based women's health focused company, was able to build, train, and deploy their own on-prem AI assistant, with team-wide input even from non-developers.

Using Rasa's contextual dialogue AI, Tia could focus on a compelling and caring user experience, and continuously add new training data, while learning from real user interactions.

Built for developers, by developers

300k+

Downloads

2,000+

Community Members

200+

Contributors

Rasa NLU

Star

Rasa Core

Star