Advanced AI Intelligence Monitoring
Our quantum-inspired mathematical frameworks (HIGL, QGT, IGBP) provide enterprise-grade AI transparency through geometric intelligence pattern detection running on standard GPU hardware.
"Quantum-inspired mathematical rigor with immediate deployment value on existing enterprise infrastructure."
Research-Driven Enterprise AI Solutions
Mathematical Foundations for Advanced Intelligence Monitoring
Our approach to AI intelligence monitoring combines rigorous mathematical research with practical enterprise solutions. Through systematic development of three core frameworks, we've created a comprehensive platform for advanced AI transparency and intelligence pattern detection.
Core Mathematical Frameworks
HIGL (Hilbertian Information Geometry of Learning)
Unifies Hilbert space semantics with information geometry for rigorous neural network analysis.
- • Typed Hilbert construction for semantic neural computation
- • Quantum-inspired differential geometry applications
- • Tractable computational probes (Hutch++, SLQ)
QGT (Quantum-Inspired Geometric Tensor) Processing
Q = g + iΩ decomposition providing capacity and dynamics insights.
- • Real part (g): Fubini-Study metric for AI expressivity
- • Imaginary part (Ω): Berry curvature for path-dependent behavior
- • GPU-optimized for real-time enterprise analysis
IGBP (Information Geometry Balance Principle)
Mathematical condition ‖∇S‖² ≥ ‖Ω‖ ensuring stable learning dynamics.
- • 6 entropy measures for comprehensive monitoring
- • Validated across 5 architecture families (A4-GNN, Fourier, GNN, HAM, VAE)
- • Enterprise-ready stability predictions
"Mathematical transparency through geometric principles - not post-hoc explanations, but architecturally embedded clarity."
These frameworks enable our Advanced AI Intelligence Monitoring platform—providing enterprises with research-proven methods for AI transparency, safety validation, and regulatory compliance through mathematical rigor rather than statistical approximations.
The Founder's Journey
An Unconventional Background
Dimitry Jean-Noel II
Founder combining unconventional background with mathematical pattern recognition to solve enterprise AI transparency challenges through working technology.
Key Experiences
- • Military Precision: US Marine Corps Reserves (2017-2023)
- • Detail Execution: Carpentry & construction (2020-2023)
- • Risk Analysis: Financial services (2023-2024)
- • Technical Foundation: AI coding bootcamp (2024-2025)
- • Customer Solutions: Lowe's Pro desk (2024-2025)
- • Mathematical Discovery: Quantum mechanics & group theory
The Enterprise Challenge
"How do you make AI decisions auditable for boards, regulators, and customers without sacrificing performance or requiring post-hoc explanations?"
The Insight: Build transparency into the decision-making process itself through mathematical frameworks that make reasoning visible by design, not by addition.
Current Achievement
Working AI model testing platform with enterprise authentication, compliance reporting, and mathematical transparency frameworks—proving the concept works in production.
Our Mission & Vision
Mission
Enable enterprise AI transparency through rigorous mathematical frameworks. Our HIGL, QGT, and IGBP systems provide verifiable intelligence monitoring for regulated industries requiring mathematical proof rather than statistical approximations.
Vision
Become the standard for AI intelligence monitoring in enterprise environments. Mathematical transparency as the foundation for trustworthy AI deployment across industries requiring regulatory compliance and stakeholder accountability.
Core Values
Technical Innovation & Research
Concrete achievements in AI intelligence monitoring and mathematical transparency
HIGL Framework Implementation
Complete mathematical framework bridging Hilbert space semantics with neural computation.
- • Hutch++ algorithm for trace estimation
- • Stochastic Lanczos Quadrature (SLQ)
- • Matrix-Rényi entropy computation
QGT Analysis Engine
Production-ready quantum geometric tensor decomposition with GPU optimization.
- • Real-time Fisher-Rao metric calculation
- • Berry curvature dynamics analysis
- • Enterprise-scale performance optimization
IGBP Validation System
Comprehensive entropy monitoring with stability prediction across architecture families.
- • 6 entropy measure suite
- • 5 architecture family validation
- • Predictive stability analytics
Enterprise Platform
Full-stack intelligence monitoring platform with advanced authentication and compliance.
- • Multi-tier subscription architecture
- • API-first intelligence analysis
- • Regulatory compliance reporting
Current Technical Achievements
Production Platform
- • Working AI model safety database with API endpoints
- • 60+ safety prompts testing framework
- • Real-time trust scoring and safety grade generation
- • Enterprise subscription and authentication system
Research Implementation
- • QGT-based coherence analysis system deployed
- • Interactive model comparison and filtering
- • Compliance reporting for enterprise clients
- • Multi-tier platform architecture operational
Company Roadmap & Vision
Scaling from solo founder to enterprise AI intelligence monitoring leader
Journey So Far
Research Breakthrough
Mathematical framework discovery while balancing development work
Full-Time Commitment
Transitioned to full-time development and company formation
Platform Deployment
Working AI model database with enterprise features launched
Next 12 Months
Customer Validation
Startup and Growth tier customer acquisition with case studies
Research Publication
ArXiv publication of foundational papers and academic partnerships
Enterprise Launch
Full enterprise tier launch with Fortune 500 pilot programs
Year 1: Foundation
- • Scale Startup/Growth tiers to 100+ customers
- • Complete NVIDIA Inception program
- • Publish research papers and build academic credibility
- • Develop enterprise pilot program
- • Establish regulatory compliance expertise
Year 2-3: Scale
- • Launch enterprise tier with Fortune 500 clients
- • Build strategic partnerships with consulting firms
- • Expand team: AI researchers, enterprise sales, compliance
- • International expansion (EU market focus)
- • Series A fundraising for accelerated growth
Year 4-5: Leadership
- • Market leader in AI decision transparency
- • Platform for 10,000+ enterprise models
- • Industry standard for AI audit requirements
- • Global regulatory compliance expertise
- • Strategic acquisition opportunities or IPO
Current Status: Proving the Concept
We've moved from theoretical research to working platform. The mathematics work, the technology is deployed, and enterprise features are operational.
Ready for the next phase of growth.
Join Our Mission
We're building the foundation for trustworthy AI, one mathematical proof at a time. Whether you're an enterprise seeking verifiable AI, an investor looking for the next breakthrough, or a talented engineer ready to shape the future—we want to hear from you.
For Enterprises
Deploy AI with mathematical guarantees in regulated industries.
For Investors
Join us in defining the trustworthy AI category.
For Talent
Work on fundamental problems at the intersection of math and AI.
"The best ideas often come from those who don't know what's 'impossible.'"