Press

Press Kit

Company Description

DecisionMe, Inc. is a decision intelligence company focused on helping individuals and teams make more informed decisions through a proprietary decision framework enhanced with the most advanced AI assistance technology. Based in Westborough, MA, the company offers the decisionMe Analysis & Resolution™ application as well as decisioning consulting, training, and speaking services. DecisionMe was founded by Glenn D. House Sr. who has founded and sold three other prior companies and is an expert in developing and applying technology to solve complex problems. In his most recent role as Senior Director at Northrop Grumman (NOC), he integrated the technology from his former company 2Is, Inc. into the organization, developing a digital strategy that propelled both growth and innovation.

For our logo and other design assets, visit this resource page.

Media FAQ

A: Complex decisioning tools once reserved for massive industrial companies, is now simplified and available to all professionals, entrepreneurs, and small business owners. Before decisionMe Analysis & Resolution™, professionals would be mired down in multiple spreadsheets with hundreds of rows of criteria and constraints. Working alone and sometimes in a group, individuals would often miss clearly defining the decision at hand, necessary and useful criteria, and hidden constraints. Now with decisionMe Analysis & Resolution™, navigating complex decisions is easy, timely, and if you make a mistake along the way, you can quickly go back and adjust, without starting over. The application employs AI to help define the decision and then uncover criteria and constraints beyond the users’ expectations to drastically increase the effective outcome of the chosen decision.

The development and design of decisionMe Analysis & Resolution™ comes from more than 30 years of experience from a decisioning expert, Glenn D. House Sr. He and his team have developed a proprietary solution to remove all 11 types of bias from the decisioning process, including those commonly found in everyday AI recommendations. When individuals ask their peers, parents, and colleagues for advice, the decision is immediately clouded with that person’s opinion or experience making a decision that may have been the right one for them, but not for the person currently making a similar decision. Removing bias from decisioning makes the result much more likely to be a success for the individual making the decision.