VaryOn Amplitude Framework
Our comprehensive measurement system for AI governance, built on rigorous mathematical foundations.Core Frameworks
Drift
Shadow Principal DetectionDetects when AI agents optimize for hidden third-party interests using Spearman correlation analysis.Learn more →
Convergence
Algorithmic Collusion DetectionIdentifies price-fixing and anti-competitive behavior using Lerner Index calculations.Product details →
Cascade
System Risk SimulationMonte Carlo simulations for predicting catastrophic failure cascades in AI systems.Product details →
Meridian
Data Quality GatingMulti-dimensional quality scoring to optimize API costs and routing decisions.Product details →
Mathematical Foundations
- Spearman Rank Correlation - Non-parametric correlation detection
- Monte Carlo Methods - Stochastic simulation for risk assessment
- Geometric Means - Robust aggregation across dimensions
- Lerner Index - Market power measurement
- Bonferroni Correction - Multiple comparison adjustment
Patent Portfolio
| Framework | Patent Status | Filing Date |
|---|---|---|
| Meridian | Provisional Filed | 63/988,575 |
| Drift | Provisional Filed | February 28, 2026 |
| Convergence | Provisional Filed | 2026 |
| Cascade | In Preparation | 2026 |
Technical Specifications
All frameworks follow our Amplitude V1.0 specification:- Scores normalized to 0-100 scale
- Multiplicative gating for critical failures
- Transparency provisions for explainability
- Real-time computation capabilities