Revolutionizing public opinion polling
People’s internet searches reflect what they do at the ballot box. unumAI is revolutionizing public opinion polling by predicting political events and measuring support from what we ask the internet. This data source allows for less expensive, more honest portrayals of constituencies. We access the “living room” conversations and the “hidden support” by examining what people do in privacy rather than unreliable, social-desirability prone survey responses.


Unum is Latin for “one” and is taken from the original United States’ motto, “E Pluribus Unum,” which translates to, “Out of many, one.” Aristotle attributes this idea of democracy to Pythagoras who says that the bonds of society, government, and politics are based on those of family and friendship.​


How we improve predictive accuracy

Our techniques allow us to identify the likely voting behavior of "undecideds". We sample millions of voters. We do so over long-periods of time to reduce headline and media cycle fluctuations.

Internet Search and Survey Results

Google's data set is a revolution in public opinion polling psychological theory, presenting the most honest and comprehensive views of constituencies ever compiled. "Everybody Lies" author and Google Data Scientist Seth Stephens-Davidowitz calls Google search history data, "the greatest data set of human psychology ever created."

At an individual-level of decision making, the polling industry categorically buckets respondents as “decideds” and “undecideds” based on their survey responses— we can tell exactly how people will vote or we can't tell anything about how they will vote. At unumAI, we continuously categorize peoples' likely voting behavior based off of what they search on Google. Everyone is somewhere between 0%-100% in their individual decision-making. Peoples’ searches are more indicative of their voting day behavior than what they say they’re going to do when asked point blank.

Our Philosophy

For better or worse, technology changes the ways that we interact with one another. Rather than ask our neighbors if taxation without representation is just, we search online for answers to our questions. Those search queries are logged and accessible in real-time; they are the greatest dataset of human political psychology ever created.

Nobody lies to Google, but we are susceptible to lying to ourselves, to our friends and family, and to pollsters.

People lie to pollsters because they believe that their political views are private or, they don’t feel comfortable telling a stranger which candidate represents their moralistic world-view for fear of being judged.

These deceptions show up in undecided responses in survey polling. Our methodology removes “undecideds” from the equation by probabilistically predicting their voting-day intentions and behaviors by what they search for.

Political Psychology
Our philosophy is that tribalistic competition frames political discourse, debate, democratic politics, and government. Awareness of the evolutionary biological/social psychological motivations for people to behave politically yields empathy towards everyone, allows blame and malice to be placed behind us, values and validates every perspective as historically and presently reasonable and relevant, opens room for debate once again, and allows for us to strive towards a more perfect union.
Our team
Skylar White
Alex Boyce
Lead Data Scientist
Cole Finnegan
Adviser – Regional Managing Partner, Hogan Lovells
Dr. Ryan Elmore
Assistant Professor, Business Information and Analytics, University of Denver
Connect with us

For inquiries please call or email:

Skylar White

+1 720-272-6492

Sign-up for our newsletter for the latest predictions by following this link