Natural Language Processing, or NLP, is the branch of AI concerned with text and speech. It covers everything from reading a contract and pulling out key clauses to answering a customer question in plain English. Modern NLP is dominated by large language models, but it also includes narrower tasks like classification, entity extraction, and sentiment analysis.

It matters because most business knowledge lives in unstructured language: emails, documents, tickets, transcripts, and notes. NLP turns that messy text into something a system can search, route, summarize, or act on. Today's NLP works by converting language into numerical representations so models can detect patterns and meaning rather than just matching keywords.

At arosplatforms we use NLP to unlock text that was previously stuck in PDFs and inboxes. We scope each project to the specific language task at hand, whether that is extraction, classification, or generation, so the solution is accurate and measurable rather than a generic chatbot.