Scott is a serial technologist and patented inventor with over fifteen years of experience. Scott was a pioneer in the wireless imaging industry, having created one of the first systems able to send images and data to mobile devices for Federal, State, and Local First Responders. This system grew into an interoperability platform for seamless cross-domain data exchange for civilian and defense agencies, healthcare, and private sector stakeholders.

Through his company, DropFire, Scott has successfully licensed and commercialized intellectual property from the Massachusetts Institute of Technology to revolutionize the data management domain. With a mission of “Better Data | Better Insights”, DropFire’s data transformation platform enables Big Data teams to collaborate and drive analytics with a wider variety of higher-quality data.

Scott brings his passion for the cutting edge to, a technology consulting firm empowering data to drive innovation and advanced analytics. specializes in Machine Learning, Big Data, and Custom Software strategy, analysis, architecture, and implementation solutions. The team is an elite group, shining when tasked with complex missions; whether it’s assembling mounds of data from a variety of sources, surfacing intelligence with Neural Networks, or building high-volume, highly-available systems, consistently delivers.

Scott holds a BS from Union College, an MBA from Northeastern University, and an MS from the Fulton School of Engineering at Arizona State University with coursework performed at the Sloan School of Management at MIT.

Greg has an extensive background in data infrastructure and enterprise architecture. As a recognized industry leader, Greg’s career has focused on data management platforms, enterprise architecture, integration, and data mobility. His past work has been utilized by organizations ranging from Fortune 100 companies to startups and has been commercialized for millions of end users.

Prior to starting, Greg spent more than ten years in CTO roles, developing technology strategies and platforms to drive business and building and managing multifaceted teams to implement and support them. Greg believes strongly in agile development, open source technology, analytical approaches to problem solving, and data-driven solutions. Look for white papers and case studies from Greg, like this paper on Big Data Architecture.

Greg earned both his Bachelors and Masters Degrees in Electrical Engineering & Computer Science from the Massachusetts Institute of Technology (MIT).