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Where Pypestream excels in an overall experience for conversational ai. By this, I mean that they do chat and human in the loop agent hand off right in one single pane of glass in a total package. You don't need to have a 3rd party integration and another contract to manage. You can setup your conversational ai service to run on the web or in a mobile environment and when your customers have a need for live agent assistance Pypestream has a native contact center piece that works very well. This helps in cutting down on managing design and architecture for two products rather than one.
Pypestream has come to realize that they need to work with the key players in the industry to take advantage of pre-built NLU classifiers and scoring for better NLP accuracy and improvements. They have a very basic NLU process that works for simple flows but if you have multi intent and entity utterences coming in your chat then they will struggle with accuracy. The have now started using classifiers from Dialogflow, LUIS and others, and from what I can see it does make a difference in their services. So, in all this is not really a true dislike but more of a yield sign to make sure you are aware that Pypestream has phases or rather levels of process that you need to be aware of when it comes to NLU.
Pypestream helps solve for call deflection and providing a streamlined service to those customers who wish to engage with a conversational ai service. They also help with additional paid advertising use cases to help drive sales, but mostly the focus is on self service processes, call deflection, and content awareness.