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Metatron Dynamics, Inc.

Software Development - Deep Tech Prototyping

Metatron Dynamics

Domain-declaration and relational-field detection for complex operational systems.

Metatron Dynamics develops systems that identify regime shifts before conventional monitoring detects failure. The framework shows that instability arises when information processing begins without a declared operational domain. ABRCE formalizes domain declaration and detects approach to domain boundaries before failure cascades develop.

Metatron Dynamics  ·  Robin Macomber, Founder — Bruce Stephenson, CTO, Energy Physics


The Framework

The ABRCE operator framework defines information processing as a composition of operators in strict canonical sequence:

E(x, ρ) = C(R(B(A(x)), ρ))

A → B → R → C → E

D := { x ∈ ℝⁿ | n < ∞  and  |x[i]| < ∞  ∀ i }
All framework claims are bounded over D.

Foundational Documents

Document Type
The Clarity Dividend Investor document
Mathematics of Information System Stability White paper

Applied Demonstrations

Repository Domain Lead time
supply-chain-early-warning-demo Multi-agent supply chain simulation 88 steps ahead of conventional detection
robotics-instability-detection-demo Discrete-time multi-robot simulation 82 steps ahead of conventional detection
relational-rate-limiter Production token bucket — zero branches, proven correctness
bounded-update-controller Bounded update operator — magnitude constraints by construction
bounded-plasticity-simulation Invariant relational magnitude constraints — provable stability regimes

Metatron Dynamics is currently incorporating from Relational Relativity LLC. All framework documentation, repositories, and demonstrations are continuous with prior work conducted under that entity.

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  1. robotics-instability-detection-demo robotics-instability-detection-demo Public

    Discrete-time multi-robot simulation demonstrating early detection of load imbalance before system failure.

    Jupyter Notebook 2

  2. bounded-plasticity-simulation bounded-plasticity-simulation Public

    Implements invariant relational magnitude constraints that replace conditional branching with a bounded update operator yielding provable stability regimes.

    Python 2

  3. Relational_Relativity_Website Relational_Relativity_Website Public

    Website for Relational Relativity LLC

    HTML

  4. relational_convergence_benchmark relational_convergence_benchmark Public

    Minimal benchmark comparing local Jacobi relaxation with global relational convergence

    Rust

  5. structure-vs-control structure-vs-control Public

    A minimal, runnable demonstration comparing control-based branching and structure-based invariants that produce the same numerical result.

    Python

  6. error-handling-by-structure error-handling-by-structure Public

    A minimal example showing how embedding constraints directly into structure can eliminate entire classes of errors, reducing defensive checks and exception-driven control flow.

    Python

Repositories

Showing 10 of 26 repositories

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