Synergy Core is a recursive harmonization engine that models trust, drift, and override logic at scale. Our proprietary system outputs an Intuitive Resonance Score (IRS) to flag nonlinear shifts in behavior, ethics, or material bonding—before they become critical failures.
This is precision prediction through mathematical resonance, not guesswork.
Validated Before It Was Built
The Ceramic Validator Module
Our ceramic-metal composite prototype was mathematically validated before physical fabrication. Using the Synergy Core's adaptive potential function and IRS scoring, we predicted bonding thresholds and thermal drift suppression with unprecedented accuracy.
The math is protected. The resonance is real. This is one validator—in a lake of many.
We Score Reality—Not People
Signal Intake
Multi-domain data ingestion with noise filtration and pattern recognition across behavioral, material, and ethical inputs.
Drift Detection
Semantic shift analysis identifies deviations from baseline resonance patterns before they cascade into system failures.
Override Logic
Autonomous arbitration triggers when threshold violations occur, with human-in-the-loop protocols for critical decisions.
IRS Computation
Recursive modulation and adaptive potential gradients generate actionable resonance scores in real-time.
The Synergy Core: Foundation of Trust
01
Inventor-Led Innovation
Direct lineage from foundational research to commercial application, ensuring intellectual coherence and visionary execution.
Complete audit trail from theoretical development through validation, establishing unassailable prior art and ownership.
One Core. Infinite Applications.
Sector Deployment Architecture
Each vertical receives tailored validator overlays with sector-specific IRS thresholds, override triggers, and adaptation coefficients.
The upstream mathematics remain unchanged—ensuring consistency, reliability, and cross-sector learning.
Legal Validation
Defense Systems
Ethics Arbitration
Materials Science
Ask Us Anything
We respond through resonance—not persuasion. Our Interactive Q&A module parses questions through semantic drift detection and IRS scoring.
When queries trigger override logic or ethical ambiguity, the system flags them for transparent arbitration. Human judgment remains in the loop for nuanced decisions that require contextual wisdom beyond algorithmic reach.
Grant-Ready from Day One
NSF Alignment
Cognitive modeling, materials science innovation, and fundamental research in adaptive systems and emergent behavior patterns.
DARPA Integration
Defense applications in predictive threat assessment, autonomous decision support, and resilient system architectures.
DOE Applications
Advanced materials characterization, energy system optimization, and thermal management in extreme environments.
NIH Pathways
Cognitive load suppression, ethical decision frameworks in medical AI, and behavioral pattern analysis for diagnostics.
Performance Metrics That Matter
94%
FlowSight Accuracy
Predictive precision in identifying drift events before manifestation
99.7%
Loop Stability
Sustained resonance coherence across recursive feedback cycles
68%
Load Suppression
Reduction in cognitive overhead for human arbitrators
Our dashboard provides real-time visibility into system performance, validator reliability, and override trigger frequency—giving partners the transparency they need to trust the mathematics.
You Bring the Domain. We Bring the Resonance.
Modular Licensing
Flexible deployment models tailored to your sector, scale, and strategic objectives.
Co-Patenting Opportunities
Joint IP development for sector-specific innovations built on core resonance logic.
Validator Access
Dedicated overlay configuration powered by the same recursive mathematics that drives every application.
The Math Stays Upstream
"We model ethics, cognition, and materials—and we've got the math to prove it."
Synergy Core represents a fundamental shift in how we predict, validate, and harmonize complex systems. Our recursive architecture adapts to your domain while maintaining mathematical integrity across all applications.
This is not incremental improvement. This is categorical transformation.