Rasa automates conversational customer experience at scale.
Top Enterprises Trust Rasa
181%
ROI. Less than a year before you see returns on your investment, according to an independent study.
60%
Containment Rates. Attentive interactions across all touchpoints - allowing employees to focus on higher value tasks while automating the rest.
10M
Downloads. Infrastructure foundation used by hundreds of organizations, and core developer workflows used by millions
Analyst Report
The Gartner Cool Vendor report identifies innovative products and rising trends in the conversational AI industry. Learn why Rasa was selected and get recommendations for evaluating your conversational AI stack.
Get the report →
Customer Story
T-Mobile decreased wait times and time to resolution, with a customer-centric approach to self-service support.
Read the case study →
Whitepaper
Discover how to take a proof of concept to a production-ready, scalable virtual assistant. We share strategies for overcoming some of the most common challenges faced when taking enterprise assistants to market.r overcoming some of the most common challenges faced when taking enterprise assistants to market.
Get the whitepaper →
If you're out to build serious conversational applications—not just dabble—Rasa is the platform you do it with. The upfront investment in the right platform will yield benefits in shorter time-to-market and lower overall total cost of ownership.
Our team loves working on the Rasa platform. The flexibility has produced many creative ideas, and we already have teams outside of the Care department that want to use our virtual assistant
We built our assistant using Rasa - which was the only solution and fit for us at Lemonade. Using Rasa’s machine learning framework, we’re able to hire smart humans who create real impact while automating everything else.
The Rasa Community is a diverse group of developers, data scientists, designers, and conversational AI enthusiasts.
As part of Rasa Open Source 3.0, we’ve launched a new experimental feature called Markers. This feature will help Rasa Developers evaluate the performance of their assistants by counting how often specific events play out in a conversation. This blog post will explain what the feature does and how to use it.
In Rasa Open Source 3.0 you now need to explicitly state how each slot will be set in the domain file. This replaces the previous method where slots were sometimes set implicitly, which resulted in duplicated work and occasionally confusing bugs. You can find more information on the docs and migration guide.
We are getting very close to our new major release: Rasa Open Source 3.0. As we get ready for this big release, we are thrilled to give our community a sneak peek into what’s coming, including the most important changes and improvements.
