Stony Brook University and Redshred are bringing cutting-edge AI tech to operational spaces where radiation exposure leaves no room for error.
Called RADIANT (Radiation AI Decision and Information Assistant for Nuclear Tasks), the tool combines AI and health physics to extract and interpret complex data with human-level context.
This capability helps tactical units, mission planners, and nuclear inspectors make faster, more accurate decisions.
Designed for compact devices, RADIANT also supports long-term assessments of veteran health and force readiness, aiding both mission planning and force protection.
”RADIANT exemplifies the kind of high-impact innovation that emerges when academic research aligns with real-world operational needs,” said Michael Kinch, chief innovation officer at Stony Brook University.
“Projects like this reflect our commitment to expanding both the breadth and depth of industry partnerships, particularly with Long Island and New York-based companies.”
Moving RADIANT Forward
With a Phase I Small Business Technology Transfer contract from the Defense Threat Reduction Agency (DTRA), Stony Brook and Redshred are moving RADIANT from concept to development.
The award marks the university’s first DTRA-backed project in more than a decade and builds on earlier work supported by a $1.8-million US Air Force grant for the AIRMATE system.
Led by Principal Investigator Manoj Mahajan, the effort reflects Stony Brook’s commitment to turning applied AI research into operational solutions for complex security and safety challenges.
It also highlights the value of academic-industry partnerships, showing how university research can feed into funded development programs that tackle real-world defense and safety priorities.
