Jaxon trained natural language understanding (NLU) models in support of the client’s chatbots and conversational AI systems. A typical NLU attempts to classify intents (what is a customer trying to accomplish?) and slots (easy to answer questions such as location) contained within user utterances. Training data, quickly provided by Jaxon, consisted of sample utterances that were annotated to identify these intents and slots. Because Jaxon used the company’s own data and did not require fully pre-labeled sample utterances, it was ideal for training domain-specific NLU models.