The AI-Augmented Founder & The Algorithm of Reality

SEP Dynamics is a foundational data intelligence firm commercializing the Self-Emergent Processor (SEP) Engine—a proprietary, high-performance C++ framework that redefines how complex data is analyzed by quantifying its informational coherence and stability.

Investment Proposal Technical Brief Research Updates
$500K
Line of Credit Sought
3 Months
Core Engine Synthesis
10x by Y5
Projected ROI
$1.2T
Total Addressable Market

Verifiable Claims & Proofs of Concept

Our claims are not theoretical; they are backed by a suite of working proofs of concept that we can demonstrate today.

1. True Datatype-Agnostic Analysis

The engine ingests any data as a raw byte stream, proven by its ability to produce distinct coherence scores for random data (0.0561), repetitive data (1.0000), and a complex compiled executable (0.4682).

2. Mathematically Robust & Compositional Metrics

Analysis of a large data stream is equivalent to the aggregated analysis of its parts, with a statistically negligible variance of less than 0.0015.

3. Stateful and Reproducible Time-Series Analysis

The engine can retain memory of past patterns for time-series analysis or be explicitly cleared for perfectly clean, reproducible backtests.

4. High-Performance, Scalable Architecture

Built in modern C++ with a CUDA backend, the engine processes sample data in ~27 microseconds (~7.8 MB/s) and has proven linear scalability.

Partner With SEP Dynamics

Multiple paths to participate in the quantum finance revolution

🚀 For Investors

Join us at the ground floor of a paradigm shift in quantitative finance

  • Seeking $500K initial line of credit for corporate foundations
  • Proven technology with 5 verifiable proofs of concept
  • Target 30%+ annual returns from proprietary trading
  • Path to $4.8M revenue by Year 5
  • IP portfolio with multiple patents pending
Contact Investment Team

🏢 For Institutions

License our technology to enhance your quantitative capabilities

  • API access to real-time coherence metrics
  • Custom integration with existing trading systems
  • White-glove support and optimization
  • Proven advantages over Black-Scholes models
  • Alternative data analysis capabilities
Request Enterprise Demo

💼 For Traders

Trade with next-generation market intelligence

  • Access to proprietary coherence signals
  • 80/20 profit sharing model
  • Professional development and training
  • Cutting-edge technology platform
  • Join our growing team of quantum traders
Apply to Trade

🔬 For Researchers

Push the boundaries of quantum-inspired computing

  • Work on patent-pending algorithms
  • Collaborate with founder Alexander J Nagy
  • Access to financial datasets
  • Publication opportunities
  • Competitive compensation + equity
Join Our Team

The Technology Behind SEP Dynamics

A fundamentally new approach to market analysis

Alexander J Nagy

Founded by Alexander J Nagy

B.S. Mechanical Engineering, University of Oklahoma (2019)

Alexander combines deep physics knowledge with proven execution in high-stakes engineering. From developing control systems for Mark Rober to mission-critical automation at Apple/Flex, he brings a unique perspective to quantitative finance.

The insight: Markets behave like complex thermodynamic systems. Traditional models fail because they assume equilibrium. The SEP Engine measures disequilibrium—the real source of alpha.

Development Timeline

Early 2025: Foundation & Demo

Finalize C++ engine implementation, optimize performance, and achieve a functional, compelling demo to validate the core thesis.

Mid 2025: Commercialization & Validation

Transition to full-time dedication, establish SEP Dynamics LLC, validate 5 proofs of concept, and file for patents.

Q4 2025: Market Launch

Launch proprietary trading operations and begin generating revenue.

Core Innovation: Information Coherence

While others try to predict prices, we measure the quality of information in market data:

Why It Works

Markets are information processing systems. By measuring information quality directly—not derived statistics—we capture the true market state. Our proofs demonstrate:

See It In Action

Live Demo Get Started