Core Technology

QEIv15™ Entropy-Physics Engine

The foundation of Physics Intelligence (PI), built on structural physics invariants—not statistical probability.

The Three Core Invariants

Entropy (S)

Primary Structural Invariant

Deterministic, multi-scale measurement of a system’s intrinsic entropy. Used to quantify stability without training data.

φ-Field Mapping

Structural Stress Invariant

Maps input dynamics into a structural field to identify stress accumulation, regime transitions, and coherence breaks.

Dynamics (λ) Tracking

Trajectory Stability Invariant

Stability tracking that signals when a system crosses thresholds and enters unstable regimes.

Supporting Metrics & Analysis Layers

multi-scale entropy structures
curvature & stiffness quantification
cross-channel coupling analysis
information-flow tensors
structural coherence maps

Input Requirement Note: QEIv15™ requires time-series signals in standardized tabular form.

All integrated into a deterministic physics framework. The engine and derived technologies are protected under patent pending applications.

X-40™ Structural Governance Layer

QEIv15™ operates independently for deterministic analysis (e.g. EEG and CO₂ structural metrics). X-40™ extends that capability into production AI systems by enforcing governance policies over LLM and ML outputs.

X-40 returns a policy decision (ACCEPT / REQUIRE_VERIFICATION) using behavioral telemetry and a second evidence channel: QEIv15™ structural anchors (Φ, κ, ΔS families) via ResearchCore.

The outcome is not “perfect truth.” The outcome is stronger operational safety: auditable evidence, deterministic envelopes, and reduced probability of incidents being shipped in production.

The PI Advantage Over Statistical AI

Deterministic & Auditable

Outputs are derived from structural invariants and can be inspected and challenged by domain experts.

Zero Training Required

PI does not require massive datasets. Physics invariants are universal across domains and regimes.

Resistant to drift

Structural metrics remain meaningful under regime shifts, where purely statistical models often degrade.

Impacting Mission-Critical Domains

QEIv15™ provides structural metrics for domains where “close enough” is costly: aerospace, finance, climate, and neuro-structural dynamics.

See Applied Engines