Nace AI has published a 51-page report on how it trained Drex, its family of open-weight AI models that pick the most likely answer from a fixed list of options.

Drex v1.5 was trained on 1.15 million example decisions with verified answers, covering tasks from reading contracts to spotting phishing emails.

In a second stage, a larger AI model taught Drex how confident to be in each answer, so its percentages match how often it is actually right.

Drex can be tested in Nace Console, where users upload documents with questions and receive a probability score for each answer.