Compare Amazon Lex vs. Rasa

Amazon Lex is ranked 2nd in Chatbot Development Platforms while Rasa is ranked 1st in Chatbot Development Platforms. Amazon Lex is rated 0, while Rasa is rated 0. On the other hand, Amazon Lex is most compared with Rasa, whereas Rasa is most compared with Amazon Lex, IBM Watson Assistant and Google Dialogflow.
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29 views|27 comparisons
Rasa Logo
44 views|42 comparisons
Ranking
Views
29
Comparisons
27
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Views
44
Comparisons
42
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0
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0
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Top Comparisons
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Overview

Amazon Lex is a service for building conversational interfaces into any application using voice and text. Amazon Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions. With Amazon Lex, the same deep learning technologies that power Amazon Alexa are now available to any developer, enabling you to quickly and easily build sophisticated, natural language, conversational bots (“chatbots”).

Speech recognition and natural language understanding are some of the most challenging problems to solve in computer science, requiring sophisticated deep learning algorithms to be trained on massive amounts of data and infrastructure. Amazon Lex democratizes these deep learning technologies by putting the power of Amazon Alexa within reach of all developers. Harnessing these technologies, Amazon Lex enables you to define entirely new categories of products made possible through conversational interfaces.

At Rasa, we're building the standard infrastructure for conversational AI. With over half a million downloads since launch, our open source tools are loved by developers worldwide, and Rasa runs in production everywhere from startups to Fortune 500s. Our friendly community is growing fast, with developers from all over the world learning from each other and working together to make text- and voice-based AI assistants better.

Rasa's machine learning-based dialogue tools allow developers to automate contextual conversations. What are contextual conversations? Real back-and-forth dialogue that is handled seamlessly. Taking AI assistants beyond fixed question / answer pairs creates exciting new use cases for people and business. The tip of the iceberg include automation of sales & marketing, internal processes, and advanced customer service that integrates into existing backend systems. With Rasa, companies control their own destiny, investing in AI that they own and ship instead of relying on third parties.

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Sample Customers
Ryanair, Electronic Caregiver, HubSpot, Capital Oneorange, lemonade, N26, Circle Medical, dialogue, engie, talkspace, helvetia, ERGO
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