Critical Decisions with AI.
NeOS is the decision layer for critical systems.
We turn uncertain, fast-changing situations into stable, explainable, and certifiable decisions, in real time.
Why NeOS exists.
NeOS was born from a simple observation: critical systems do not lack intelligence — they lack stability.In saturated, uncertain, and fast-moving environments, AI produces signals and scores, but it does not determine when a decision is safe to take, when it should be delayed, or when control must return to a human operator.NeOS provides this missing layer: a reflexive intelligence that regulates decision timing and influence, ensuring that actions remain stable, explainable, and safe — precisely when situations become complex, contradictory, and unstable.
A reflexive operating system for decisions.
NeOS is built as a reflexive decision layer that sits between perception and action.It combines neural learning, symbolic reasoning, and real-time stability control to regulate when and how decisions can safely be taken.By continuously monitoring contradictions, uncertainty, and decision dynamics, NeOS ensures that intelligence remains bounded, explainable, and certifiable — even under extreme operational pressure.
A team at the intersection of defense, AI, and systems engineering.
NeOS is built by a team with deep experience at the intersection of defense, advanced software engineering, and strategic execution.Our background combines hands-on experience in large defense programs, cutting-edge AI and system architecture, and technology-driven business leadership — ensuring that NeOS is not only scientifically rigorous, but also operationally grounded and built to scale in real-world environments.
Where NeOS applies.
NeOS is designed for situations where decisions must be taken in complex, fast-changing environments.In command and control systems, it helps operators manage anti-drone defense by stabilizing decisions under uncertainty and sensor overload.In collaborative combat, it supports coordination between multiple platforms by ensuring that shared decisions remain coherent and controlled as situations evolve.And in autonomous systems — from aircraft to robotics — NeOS provides a safety layer that governs when machines can act on their own and when human supervision is required.Across these use cases, NeOS brings the same value: clearer decisions, better control, and safer outcomes in environments where mistakes are costly.