While public APIs for NLP models provide a fast time-to-market, you just might be giving up your competitive advantage by not building in-house.

We constantly adjust the way we communicate based on the context. In our house versus the office. To a friend versus a potential customer. We’re always framing our language and tone based on where we are and who’s listening.

Natural language processing (NLP) is no different. Only when your domains and models match the work your organization is trying to get done—or the problems you’re solving for your customers—can your NLP journey truly take off.

NLP improves the developer experience for unstructured data, but it truly shines when paired with the people, places, and things of a knowledge graph.