Primer uses AI to understand and summarize mountains of text

A startup emerging out of stealth today wants to help companies understand massive stores of text data using AI. The company is called Primer, and it uses machine learning techniques to help parse and collate a large number of documents across several languages in order to facilitate further investigation. Here's how it works: Users feed Primer's software a stream of documents, and it automatically summarizes what it determines to be the most important information out of that haystack of data. Users are then able to filter by topic, event, and other categories to drill down into the information Primer collected so they can go beyond the automatically generated headlines. The idea is that Primer will augment work done by the human analysts who would ordinarily be tasked with the job of wading through many sources and collating them into a report.