Engineering the Efficiency Continuum
AI, mathematics, aerospace systems, and holographic compute fused into a unified operating layer.
Where Systems Converge
Unified frameworks that compress, predict, and stabilize complex systems at the edge of computational limits.
Cascade Space Systems develops a unified framework that compresses, predicts, and stabilizes complex systems—from flight operations to real-time GPU intelligence—using mathematically coherent harmonic structures.
Modern systems operate at computational bandwidths beyond human-safe reaction time. They require prediction engines—not dashboards—and harmonic safety envelopes instead of raw telemetry.
A five-pillar architectural stack: LAEA Ascendancy Engine (symbolic computation kernel), CEHE Efficiency Harmonics Engine (optimization & curvature stabilizer), QECF Quantized Efficiency Curvature Framework, RTNN Resonance-Tuned Neural Networks, and Cascade-API GPU Runtime.
A new class of
enterprise-critical intelligence
Purpose-built for the next generation of critical systems
Aerospace guidance simulation
Carbon stabilization modeling
Quantum-safe encryption
B200-optimized compute
16K holographic projection
Safety-kernel-encoded AI autonomy
Founded by Brandon Williams Gilmore
Inventor of Harmonic Reducibility