GORYTUS builds integrated AI systems designed for deterministic, explainable, and field-compatible decision support across contested domains.
GORYTUS is a platform for integrated operational AI: it ingests heterogeneous sensor and telemetry streams, normalizes them into a stable operational picture, and produces auditable doctrine recommendations with clear rationales.
Deterministic decision-support loop: normalize inputs → doctrine recommendations with confidence, reason graph, and timeline replay.
Domain-aware posture optimization (Land / Air / Sea / Subsea). Outputs feed directly into the Doctrine AI.
Runs as a multi-core fabric — specialized kernels can be clustered and scaled; only high-level traits are shared.
ROE / policy guardrails that approve, constrain, or revise recommendations — human-in-the-loop by design.
Deception-aware risk layer designed for contested environments — robust confidence handling and safe degradation.
Operator UI for timeline, replay, and explainability — interrogate “why”, log overrides, and support after-action review.
GORYTUS follows a two-layer model: a Physical Integration Layer that normalizes sensor inputs and prevents vendor lock-in, and a Cognitive Decision Layer that runs doctrine logic, evolution scoring, and explainability.
A quick walkthrough of the Commander UI and the explainability loop (reason graph + timeline).