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nmodes AI is based on semantic algorithms. They require significantly less computational capacity compared to standard machine learning algorithms used by a majority of conversational AI systems today.

As a result, the infrastructure requirements are drastically reduced. In simple terms, what Google Home or Amazon Alexa do with the help of supercomputers or advanced computer farms, nmodes AI can do on a basic server.

And it gives nmodes ability to delegate conversational capacity to the users.  With the help of nmodes AI every business (and individual) can create their own AI to handle the details of the business (products, customers, etc) not accessible from the outside.

The main difference is in the linguistic complexity. 

People express themselves differently when they speak compared to when they type. When we speak we use more sentences and we make our sentences longer. 

As a result a voice bot needs to have better AI compared to a chatbot, in order to handle a conversation and deliver the same customer experience. 

If your business model allows it, is better to start with a chatbot and add a voice bot on top of it.

This way you can gradually increase the complexity of your AI without compromising on your customer experience.