Dydu created its own Natural Processing Language (NPL) technology more than 10 years ago and regularly improves it.
Dydu also owns its own matcher, meaning that we designed our own algorithm to match two elements together. To put it simply, our linguistic component calculates the distance between the user’s request and all the sentences in your chatbot’s knowledge base. If the distance is low, the chatbot can provide an answer to the question. This enables the chatbot to provide far more relevant answers than those using a key words system. This operating mode also enables to quickly identify requests that need to be added to the knowledge base, without constantly having to check what already works.
Other external matchers can be used in addition for our SaaS customers, Microsoft Luis and Q&A.