United States
Building the MG Layer a neurosymbolic engine that gives AI systems context and direction. Architecting the ontological layer for AI under pressure. EmoPulse is the first deployed module - patent-pending, on-device, air-gapped capable. The layer that determines whether systems stay coherent when the world becomes unstable. Every high‑stakes domain - defense, medicine, aviation, national infrastructure - breaks for the same reason: the system misreads the situation before it acts. We've spent a decade scaling models, but almost no time understanding the internal conditions under which those models interpret the world. That gap is now the primary risk factor in real deployments. EmoPulse exists to close that gap. Not with dashboards. Not with heuristics. Not with another governance wrapper. But with a real‑time interpretive signal that reveals how models perceive human intent, uncertainty, and cognitive state - and shapes how AI systems evaluate, prioritize, and act under pressure. When you can finally see that state, unpredictability stops being a mystery - it becomes a visibility problem. And visibility is solvable. The system operates fully on‑device, without cloud dependency, deployable in contested, degraded, or air‑gapped settings. Built for defense, telemedicine, education, and dual‑use environments where human–AI coordination must remain stable and context‑aware. This layer does not replace governance frameworks. It exposes the interpretive conditions that governance relies on - the part of the system that has historically been invisible. The validation is already happening in the field.
Ontological infrastructure for high‑stakes AI. Neurosymbolic engine, rPPG biometrics, coherence scoring, and drift detection.