Extract from Jordan Crooks’ article “Text IQ, a Machine Learning Platform for Parsing Sensitive Corporate Data, Raises $12.6M”
Text IQ, a machine learning system that parses and understands sensitive corporate data, has raised $12.6 million in Series A funding led by FirstMark Capital, with participation from Sierra Ventures.
Text IQ started as co-founder Apoorv Agarwal’s Columbia thesis project titled “Social Network Extraction From Text.” The algorithm he built was able to read a novel, like Jane Austen’s “Emma,” for example, and understand the social hierarchy and interactions between characters.
