Accurate polling, advanced forecasting, and strategic economic analysis to navigate elections and public policy
Accurate polling, advanced forecasting, and strategic economic analysis to navigate elections and public policy
Quantitative polling for elections, public policy, and corporate decisions.
Advanced prediction models using polling, voter sentiment, and economic data to project electoral outcomes.
Macro and microeconomic assessments to understand voter behavior.
Data-driven strategies to guide political campaigns and corporate decision-making.
Co-Founder & Lead Pollster
Jason Corley is co-founder and lead pollster at Quantus Insights, where he directs political polling, election forecasting, predictive modeling, and voter analysis. He helped launch the firm’s polling operation during the 2024 election cycle, when its final national presidential poll finished within one percentage point of the election margin and its October polling across Michigan, Pennsylvania, and Wisconsin averaged approximately one point of error.
Corley brings more than 20 years of experience across the Intelligence Community, military intelligence, cybersecurity, and data analysis. As an eight-year military veteran, his service included a deployment to Iraq as a tactical intelligence operator embedded with a U.S. Army brigade. Before co-founding Quantus, he worked in the private sector in cyber defense and consulting.
At Quantus, he applies that analytical background to survey design, voter modeling, and the interpretation of electoral trends, helping clients understand public opinion and make informed strategic decisions.