Data labeling refers to the practice of tagging and identifying raw data in order to add meaningful context, of which U.S. government agencies openly admit they struggle with and ask industry for help in.

Peter Kant, founder and chief executive of Enabled Intelligence, started the company in March 2020 to specialize in data labeling work that also relies on continuous training and retraining of artificial intelligence models.

Kant joins for this episode to explain how Enabled Intelligence tailors large language models for use in national security environments where the out-of-the-box tools are not quite ready to be in the hands of operators.

In talking with our Ross Wilkers, Kant also describes how the company’s capture of a contract called Sequoia helps shed light on how the government is looking at the challenge of grasping all the data it has.