GFQ 001 restores coherence inside physical systems. BRAINIAK governs every decision with metacognitive safety. Together they cut energy waste, fuel burn, and mechanical stress without hardware changes while producing verifiable climate impact.
All results sealed with SHA 3 and Merkle roots for independent replay and verification.
GFQ 001 treats engines, datacenters, and industrial platforms as dynamical systems rather than static assets. It predicts near term behavior, adjusts geometry and control fields inside certified envelopes, and steers the system toward lower waste states in real time.
Short horizon models forecast how fuel, flow, and torque will evolve under current conditions.
Entropy and coherence scores set the guidance.
Geometry and actuation fields are nudged within envelopes to reduce waste while preserving safety margins.
No override of certified controllers.
Every step is sealed, hashed, and chained, enabling full audit trails for certification and climate reporting.
Evidence becomes part of the product.
BRAINIAK sits above the loop, monitoring confidence, physics plausibility, and drift while vetoing unsafe or low trust actions.
QEMD does not treat climate as an accounting layer. GFQ 001 reduces fuel and power at the point of combustion, switching, and flow. Every ton of CO₂ avoided is grounded in physics and can be traced back to sealed evidence.
Aircraft engines are steered toward lower specific fuel consumption while preserving safety margins and climb performance.
Datacenters see lower cooling loads and more even utilization, cutting energy while improving stability.