Cognovi Labs, developer of the SaaS platform for emotion-based artificial intelligence, saw their Oct. 22 prediction of a Doug Jones victory realized in Tuesday's Alabama Senate election. Acting well ahead of poll data, Cognovi made the prediction almost three weeks before the sexual harassment claims surfaced against Moore. The prediction was based around Cognovi Emotion AI findings that showed Jones' superior ability to trigger an intense emotional bond with the electorate, which allowed him to generate the required turnout to win the election. This result follows a string of successful Cognovi predictions for several high-profile outcomes, including predicting the Brexit referendum hours before the polls closed; and foretelling the results of the 2016 U.S. presidential election. In addition to political events, Cognovi utilizes its AI platform to make predictions for businesses, investors, corporations, ad agencies and public figures.

Cognovi Labs is a new analytics startup that relies on Twitris, a Wright State University-developed tool that claims to be able to take a sample of social media chatter about a specific topic and deduce real-time, large-scale, automated sentiment about the specific topic they are researching. As a real-world example of the tool's capability, the Cognovi Labs research team -- led by Wright State University researcher (and Cognovi Labs inventor) Dr. Amit Sheth -- analyzed Twitter chatter leading up to the Great Britain/European Union Membership Referendum (Brexit) on June 23. The team was able to predict some six hours before the news broke that the polls leaning toward the "remain" camp were incorrect. This was predicted by running Twitter chatter through the Cognovi Labs Twitris tool. The machine learning tool leverages Cognovi Labs' semantic intellectual property to be able to automate and extract aggregate meaning from social media chatter (including slang) in new, more precise ways.