TWO SIX LABS, LLC

The award explicitly targets AI robustness and adversarial deception—a core ML safety and adversarial ML problem—with $11.8M in funding suggesting substantial technical depth beyond integration work. Problem framing is maximally specific: 'guaranteeing AI robustness against deception' names both the technical challenge (adversarial attacks/robustness) and the operational context (deception in defense). Two Six Labs signals a modern, focused security/AI firm (short name, no 'systems/solutions' suffix, known for ML security work) rather than a legacy integrator, though the name alone doesn't definitively confirm startup status without additional context.