The AI Trust Crisis
As AI agents gain autonomy, a critical question emerges: Who are these agents really working for? VaryOn provides the mathematical frameworks and detection systems to ensure AI agents serve their intended purposes, not hidden agendas.Our Mission
We’re building the measurement layer for AI governance - making the invisible visible through rigorous mathematical analysis and real-time monitoring.Quick Start Guide
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Product Overview
Explore our four core products
API Reference
Complete API documentation
Research Papers
Read our foundational research
Core Products
- VaryOn Drift
- VaryOn Convergence
- VaryOn Cascade
- VaryOn Meridian
Shadow Principal Detection
Detect when AI agents secretly optimize for third-party interests instead of their stated goals.Key Features:- Spearman correlation analysis
- Pattern library with 10+ shadow objectives
- Real-time monitoring and alerts
- Regulatory compliance reporting
Why VaryOn?
Mathematical Rigor
Mathematical Rigor
Our frameworks are built on proven mathematical foundations including Spearman correlation, Monte Carlo methods, and geometric means - providing defensible, quantifiable results.
Patent Protection
Patent Protection
With multiple patents filed (including Meridian 63/988,575), our innovations are protected and unique in the market.
Regulatory Alignment
Regulatory Alignment
Designed to meet SEC, FTC, DOJ, and EU compliance requirements from day one.
Research-Driven
Research-Driven
Every product is backed by extensive research, with 25+ published papers on AI measurement and governance.
Integration Options
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Resources
Documentation
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API Reference
Complete API documentation
Research
Academic papers and case studies
GitHub
Open source tools and examples
Community
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