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
  • Backtested alpha: +0.0084 pips over 48 hours
  • Path to $4.8M revenue by Year 5
  • IP portfolio with four provisional patents pending [docs]
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

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 [docs].

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

Important Notes

The SEP GitHub repository referenced is currently private. Access may be granted to serious collaborators upon request.

All performance metrics and financial projections are illustrative only and do not guarantee future results.

Information about patent filings is provided for transparency. Four provisional patent applications have been filed and are currently pending approval. See our patent documentation.

Alexander J Nagy collaborated with Mark Rober on public projects such as Glitterbomb 2 and the July 2021 domino robot world record.