Scott Cohen, CEO of Jaxon

Scott Cohen

CEO

Scott Cohen is the co-founder and CEO of Jaxon.AI, where he is building deterministic AI verification for defense, intelligence, and regulated industries. Jaxon’s flagship product, DSAIL, turns written policy into rules a program can check, so an AI system’s output is evaluated against the same approved ruleset every time and every result traces back to the rule that decided it. Under Scott’s leadership, Jaxon has earned research awards from the U.S. Air Force, Space Force, and the Office of the Under Secretary of Defense for Research and Engineering (OUSD(R&E)), among others. In 2026 the company opened an office in Arlington, Virginia, minutes from the Pentagon, to work directly with the national security community.

Scott came to Jaxon after a decade building AI applications for Fortune 500 companies. As Co-Founder of BigR.io (acquired by Saviance), a Big Data and Machine Learning consulting firm, he built large-scale, highly available systems, deep neural networks, and custom advanced analytics portals. Jaxon grew out of that work and the problem that kept recurring in it: making general models domain-specific without brute-force data labeling.

Before BigR.io, Scott founded DropFire, where he licensed and commercialized intellectual property from MIT to build a data transformation platform under the banner “Better Data, Better Insights.” DropFire pushed the bounds of machine reasoning applied to automatic data transformation.

A serial technologist and patented inventor, Scott was also 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. That system grew into an interoperability platform for cross-domain data exchange across civilian and defense agencies, healthcare, and private-sector stakeholders.

Scott holds a Bachelor of Science from Union College, an MBA from Northeastern University, and a Master of Science from the Fulton School of Engineering at Arizona State University, with coursework performed at MIT.