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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, machine learning, and collaboration technology. Based in Westborough, MA, the company offers the raDAR™ application as well as decision-engineering consulting, training, and speaking services. DecisionMe was founded by entrepreneur Glenn D. House Sr., who previously served as Founder, CEO, and CTO of 2Is Inc., and as CEO of two other companies—all of which were successfully acquired by publicly traded firms. He has devoted his career to the application of decision science in addressing some of the most complex and critical challenges across a range of industries, including electronic design automation, internet content distribution, supply chain management, aerospace, and defense.

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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's raDAR™, 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 raDAR™, 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 raDAR™ 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.