We help defense programs and advanced technology companies design, develop, and field robotic and AI-driven systems — from early-stage R&D through deployment into Dull, Dirty, and Dangerous mission sets.
From concept to fielded capability — we bring deep technical expertise and operational understanding to every engagement.
Architecture, integration, and fielding of ground, aerial, and maritime robotic platforms. Dull, dirty, and dangerous mission sets.
Sensor fusion, real-time inference, and closed-loop AI for platforms operating in contested and degraded environments.
R&D roadmapping, SBIR/STTR strategy, transition planning, and navigating the DoD acquisition landscape.
Adapting defense-proven technology for fire, rescue, critical infrastructure monitoring, and industrial inspection.
Iokath is a defense and robotics consulting group founded by engineers who have built and fielded autonomous systems — not just advised on them. Our team brings direct experience from DARPA programs, Carnegie Mellon University research, and production robotics companies working on ground and aerial platforms.
We work with program offices, prime contractors, and emerging technology companies to close the gap between cutting-edge autonomy and real-world deployment — faster, at lower risk, with a clear-eyed understanding of what it takes to get hardware into the field.
Get in TouchSystems engineer and roboticist with deep experience in autonomous ground vehicles, DARPA programs, and production-grade robotic systems. Holds an M.S. in Robotics from Carnegie Mellon University. Previously led autonomy systems engineering at Field AI and served as robotics engineer on the DARPA Racer program, developing GPU-accelerated perception and optimal control pipelines for off-road autonomous vehicles.
[Placeholder — pull from LinkedIn linkedin.com/in/ressorj] Deep background in defense systems and advanced technology development.
Whether you have a defined program or an early-stage problem, we're happy to talk through how we can help.
contact@iokath.ai