Framework Portfolio
The frameworks listed on this page form a coherent portfolio of protected and pending
technical teachings, structured across multiple domains.
They are presented at an abstract architectural level to allow comparative evaluation
without disclosing technical implementations.
Most frameworks listed on this page constitute protected or pending technical teachings
(technische Lehren), represented exclusively at an abstract architectural level.
No technical implementation or enabling disclosure is made.
Status indicators:
⏳ Filed / Pending
✅ Granted
🔒 Licensing only
🟢 Transfer possible
Deterministic technical framework for the execution of control
and decision processes within a fully isolated computational
environment.
zero vault enforces an irreducible, manipulation-resistant execution
cascade and produces integrity-secured result outputs while
preventing any reconstructive access to internal system states.
Key Facts
• Status: Utility model filed with DPMA (pending)
• Protection scope: Technical teaching for isolated execution and integrity-secured result delivery
• Technical character: Non-reversible, non-observable, black-box execution architecture
Structural Position
• Fully isolated execution chamber within a larger technical system
• Prevents introspection, state leakage and reverse reconstruction
• Allows output delivery exclusively via integrity-validated result channels
• Operates independently of models, semantics or probabilistic logic
Application Domains
• Safety-critical and regulated technical systems
• Secure execution of governance and control kernels
• AI-, agent- and model-driven systems requiring sealed execution
• Infrastructure, defense and high-integrity control environments
Deterministic infrastructure framework for reducing simultaneity effects
in distributed electrical systems without modifying power, energy,
or operational behavior.
Key Facts
• Status: Utility model filed with DPMA (pending)
• Protection scope: Sealed technical architecture
• Access: Licensing only
Commercial Context
• Market class: Energy & critical infrastructure
• Structural relevance: System-level baseline
• Transfer: Not offered
Deterministic technical framework for the unified, invariant and
audit-capable control of all input modalities in dynamic technical systems.
EMMEK enforces a single machine-logical control kernel through which
human, software-based, machine, agent-based and neural inputs must pass
before any system reaction is permitted.
Key Facts
• Status: Utility model filed with DPMA (pending)
• Protection scope: Technical teaching for deterministic multi-modal input governance
• Technical character: Domain-, model- and semantics-independent control architecture
Structural Position
• Serves as a universal input governance kernel across all interaction channels
• Enforces deterministic, non-bypassable execution paths
• Forms the technical foundation for secure human–machine, AI and agent-based systems
Application Domains
• Human–machine interaction and UX systems
• Software and application event control
• AI / agent output governance and containment
• Industrial, safety-critical and regulated environments
Deterministic technical framework for the complete structural processing
of dynamic technical signals through a strictly machine-logical
effect, structure and recursion cascade.
DSRK produces isolated effect components, structured intermediate states
and deterministically folded end signals, enabling drift detection,
consistency validation and audit-capable signal governance
without models, filters, heuristics or probabilistic methods.
Key Facts
• Status: Utility model filed with DPMA (pending)
• Protection scope: Technical teaching for deterministic signal recursion and structural refolding
• Technical character: Model-free, filter-free, probabilistic-free signal processing architecture
Structural Position
• Separates technical effect, structure and recursion into machine-stable states
• Enables deterministic drift, instability and manipulation detection
• Produces audit-capable, reproducible signal processing chains
Application Domains
• Control and regulation technology
• Industrial sensor systems and automation
• Energy systems and grid control
• Autonomous and safety-critical machines
• Medical technology and aerospace systems
Deterministic technical framework for the machine-logical decomposition
of signals from open dynamic systems into four fully isolated functional
spaces, each producing an independent technical output signal.
QDE operates without models, probabilistic estimation or weighted
optimization and enforces a deterministic initial clocking that governs
the activation order and processing flow across all functional spaces.
Key Facts
• Status: Utility model filed with DPMA (pending)
• Protection scope: Technical teaching for deterministic four-space signal decomposition
• Technical character: Model-free, probabilistic-free, machine-logical processing architecture
Structural Position
• Separates deterministic drift, systematic deviation, feedback dynamics and irreducible uncertainty
• Produces four independent, reproducible technical output signals
• Uses deterministic initial clocking as a non-heuristic control structure
• Enables audit-capable diagnosis, control and supervision under dynamic conditions
Application Domains
• Industrial control and regulation systems
• Energy networks and storage management
• Autonomous and safety-critical machines
• Medical and diagnostic signal processing
• Risk, monitoring and protection systems
Deterministic technical framework for the structural control,
validation, stabilization and final release of machine-generated
output signals in dynamic or safety-critical systems.
Ω-OCK operates strictly post-internal processing and enforces
mandatory output verification, drift detection, damping and
integrity validation before any signal may leave the system.
Key Facts
• Status: Utility model filed with DPMA (pending)
• Protection scope: Technical teaching for deterministic machine-output control and release
• Technical character: Hardware- and platform-neutral, model-free, non-semantic
Structural Position
• Operates exclusively on outgoing machine signals (post-processing layer)
• Validates symmetry between input and output signal structures
• Detects and classifies output drift and instability
• Applies deterministic damping and neutralization mechanisms
• Enforces a mandatory final-gate release or technical blocking
Integrity & Audit
• Generates a complete, reproducible output verification chain
• Provides hash-based integrity linkage across the entire output pipeline
• Ensures audit-capable, tamper-resistant output histories
Application Domains
• Safety-critical and regulated technical systems
• Autonomous and semi-autonomous machines
• Industrial control and automation environments
• AI-, agent- and model-driven systems with external outputs
• Infrastructure, energy and mission-critical platforms
Deterministic technical framework for machine-logical activation,
reaction, verification and intervention control in open or
safety-critical technical systems.
DCK classifies incoming signals into fixed signal types, initiates
strictly deterministic reaction structures, isolates unstable or
non-classifiable signals into separate verification paths and
provides defined intervention windows with complete machine-readable
structural logging.
Key Facts
• Status: Utility model filed with DPMA (pending)
• Protection scope: Technical teaching for deterministic activation, reaction, verification and intervention control
• Technical character: Model-free, probabilistic-free, learning-free machine-logical control architecture
Structural Position
• Classifies signals into deterministic signal types before execution
• Separates stable reaction paths from isolated verification channels
• Defines explicit time- or state-based intervention windows
• Produces complete, reproducible structural execution logs
Application Domains
• Industrial control and automation systems
• Safety-critical and regulated technical environments
• Embedded, edge and distributed computing systems
• Infrastructure, energy and mission-critical platforms
Deterministic technical framework for extracting and processing
real deviation signal components in dynamic systems,
enabling system-level influence without model-based computation.
Key Facts
• Status: Utility model filed with DPMA (pending)
• Protection scope: Deterministic deviation signal processing
• Technical character: Purely machine-logical
Commercial Context
• Market class: Automation, signal processing, safety-critical systems
• Structural relevance: Pre-control stabilization kernel
• Access: Licensing only
Deterministic technical framework for enforcing pre-execution intention states
as mandatory execution conditions in process-driven systems,
enabling system-level control without semantic interpretation.
Key Facts
• Status: Utility model filed with DPMA (pending)
• Protection scope: Pre-execution intention control
• Technical character: Non-semantic execution condition
Commercial Context
• Market class: Automation, robotics, AI execution control
• Structural relevance: Mandatory pre-execution integrity layer
• Access: Licensing only
Deterministic technical framework for the real-time extraction,
structural classification and reaction triggering of genuine
deviation signal components in open technical systems.
ASTRA isolates real deviation effects without filtering, smoothing
or statistical modeling and produces fully reproducible,
machine-logical reaction paths under dynamic system conditions.
Key Facts
• Status: Utility model filed with DPMA (pending)
• Protection scope: Technical teaching for deterministic deviation extraction, structuring and reaction triggering
• Technical character: Model-free, filter-free, probabilistic-free signal processing and reaction architecture
Structural Position
• Isolates genuine deviation components from live system signals
• Separates drift, impulse and feedback deviation types into fixed structural classes
• Generates deterministic reaction sequences with stabilized system return paths
• Produces audit-capable, reproducible deviation and reaction chains
Application Domains
• Industrial control and regulation systems
• Autonomous and safety-critical machines
• Energy and infrastructure control environments
• Medical technology and diagnostic systems
• Technical risk and anomaly reaction systems
Technical framework for deterministic aggregation of heterogeneous system signals
into consolidated evidentiary states exerting direct system-level execution control.
Key Facts
• Status: Utility model filed with DPMA (pending)
• Protection scope: Evidence-based execution control
• Reference implementation:
www.evidencematrix.eu
Commercial Context
• Market class: Compliance, automation, critical infrastructure
• Structural relevance: Pre-execution integrity and control layer
• Access: Licensing only
Technical framework defining a universal reversible locking principle
based on geometry-induced force amplification and directed friction,
enabling self-stabilizing fixation without form-fit, adhesion,
magnetism, or stored energy.
Key Facts
• Status: Utility model filed with DPMA (pending)
• Protection scope: Technical teaching for reversible force-based locking
• Technical character: Geometry-driven, material-independent
Commercial Context
• Market class: Mechanical systems, robotics, medical devices, adaptive structures
• Structural relevance: Fundamental locking and fixation principle
• Access: Licensing only
Technical framework for generating deterministic, non-invertible integrity
markers bound inline to system events and machine states, enabling immediate
detection of manipulation without reliance on external infrastructure,
chains or post-processing.
Key Facts
• Status: Utility model filed with DPMA (pending)
• Protection scope: Technical teaching for inline, non-invertible integrity marking
• Technical character: Deterministic, state-bound, system-internal
Commercial Context
• Market class: Cybersecurity, compliance, critical infrastructure, industrial systems
• Structural relevance: Mandatory integrity and audit baseline layer
• Access: Licensing only
Deterministic technical architecture for the formation, correlation and stabilization
of energy states across physical, infrastructural and regulatory dimensions,
operating prior to pricing, trading, optimization or consumption.
Key Facts
• Status: Utility model filed with DPMA (pending)
• Protection scope: Technical teaching for deterministic energy state formation and correlation
• Technical character: System-internal, non-market, pre-execution architecture
Commercial Context
• Market class: Energy systems, critical infrastructure, sovereign energy governance
• Structural relevance: Foundational energy state reference layer
• Access: Licensing only
Technical teaching for the deterministic derivation of value representations
directly from defined energy states, independent of markets, pricing mechanisms,
financial instruments or interpretative valuation models.
Key Facts
• Status: Utility model filed with DPMA (pending)
• Protection scope: Technical teaching for state-based energy value derivation
• Technical character: Non-financial, non-monetary, pre-market value logic
Commercial Context
• Market class: Energy valuation, infrastructure accounting, sovereign systems
• Structural relevance: Value anchoring layer derived from energy states
• Access: Licensing only
This cluster groups multiple protected technical teachings
addressing identical deterministic system behavior
under different market-specific and regulatory conditions.
Each framework within this cluster represents an independent
technical teaching with its own protection scope.
Cluster Scope
• Five independent market-specific technical teachings
• Shared deterministic system behavior
• Separate protection scope per market domain
• No cross-disclosure between frameworks
Deterministic technical framework for controlling and validating
critical process transitions in food production systems,
ensuring integrity of state changes under regulatory
and safety-critical conditions.
Key Facts
• Status: Utility model filed with DPMA (pending)
• Protection scope: Market-specific technical teaching for food process transitions
• Technical character: Deterministic, system-internal execution control
Commercial Context
• Market class: Food production, processing, quality assurance
• Structural relevance: Mandatory transition integrity layer
• Access: Licensing only
Deterministic technical framework for enforcing integrity of
state transitions in chemical and process-engineering systems,
preventing uncontrolled or invalid execution states.
Key Facts
• Status: Utility model filed with DPMA (pending)
• Protection scope: Market-specific technical teaching for chemical process control
• Technical character: Deterministic transition validation
Commercial Context
• Market class: Chemical industry, process engineering, plant control
• Structural relevance: Pre-execution transition integrity layer
• Access: Licensing only
Deterministic technical framework for validating and controlling
critical process transitions in pharmaceutical manufacturing
and validation environments.
Key Facts
• Status: Utility model filed with DPMA (pending)
• Protection scope: Market-specific technical teaching for pharmaceutical processes
• Technical character: Deterministic, audit-relevant execution control
Commercial Context
• Market class: Pharmaceutical manufacturing, GMP environments
• Structural relevance: Mandatory compliance-critical integrity layer
• Access: Licensing only
Deterministic technical framework for controlling and validating
state transitions across logistics and supply chain processes,
ensuring integrity of handover, transport, and system execution.
Key Facts
• Status: Utility model filed with DPMA (pending)
• Protection scope: Market-specific technical teaching for logistics transitions
• Technical character: Deterministic handover and execution validation
Commercial Context
• Market class: Logistics, supply chain, industrial transport
• Structural relevance: Transition integrity across system boundaries
• Access: Licensing only
Deterministic technical framework for enforcing integrity of
state transitions in general industrial and automated systems,
independent of specific regulatory market constraints.
Key Facts
• Status: Utility model filed with DPMA (pending)
• Protection scope: Market-independent technical teaching for transition control
• Technical character: Deterministic system-level execution validation
Commercial Context
• Market class: Industrial automation, manufacturing systems
• Structural relevance: Baseline transition integrity layer
• Access: Licensing only
Technical framework defining a deterministic governance control layer
that constrains, validates and conditions the execution of large
model-based systems through externally defined, machine-enforced
state definitions.
Model behavior is subordinated to a mandatory governance kernel
and cannot bypass, modify or self-determine execution conditions.
Key Facts
• Status: Utility model filed with DPMA (pending)
• Protection scope: Technical teaching for deterministic governance of model-based systems
• Technical character: Model-agnostic, syntax-independent, system-external control architecture
Structural Position
• Governs execution of Large Models without modifying model internals
• Enforces mandatory pre-execution, inline and post-execution conditions
• Serves as base layer for multiple independent domain-specific technical teachings (360° series)
Derived technical framework applying the deterministic governance kernel
to ESG-relevant information structures, producing audit-capable
governance states through fixed state classes and machine-enforced
decision conditions without model-based inference.
Relation
• Derived from: Deterministic Governance Kernel — Large Model Control Framework
• Domain: ESG governance and compliance environments
• Protection scope: Independent domain-specific technical teaching
Derived technical framework applying the deterministic governance kernel
to legal information structures as machine-processable objects,
enabling reproducible handling of conflicts and governance states
without legal interpretation or semantic reasoning.
Relation
• Derived from: Deterministic Governance Kernel — Large Model Control Framework
• Domain: Legal governance and compliance infrastructures
• Protection scope: Independent domain-specific technical teaching
Derived technical framework applying the deterministic governance kernel
to medical information processing environments, generating drift-resistant,
audit-capable integrity states for controlled execution without diagnosis
or therapeutic logic.
Relation
• Derived from: Deterministic Governance Kernel — Large Model Control Framework
• Domain: Medical systems and safety-critical processing environments
• Protection scope: Independent domain-specific technical teaching
Derived technical framework applying the deterministic governance kernel
to pharmaceutical and GMP-regulated environments, producing compliance-critical
governance states and preventing unauthorized execution transitions
without relying on probabilistic models.
Relation
• Derived from: Deterministic Governance Kernel — Large Model Control Framework
• Domain: Pharmaceutical manufacturing and validation environments
• Protection scope: Independent domain-specific technical teaching
Derived technical framework applying the deterministic governance kernel
to property and infrastructure portfolio information structures,
generating audit-capable governance states for controlled processing
without valuation logic or legal interpretation.
Relation
• Derived from: Deterministic Governance Kernel — Large Model Control Framework
• Domain: Property and infrastructure governance environments
• Protection scope: Independent domain-specific technical teaching
Derived technical framework applying the deterministic governance kernel
to food production and processing environments, generating integrity,
contamination and release governance states through machine-enforced
execution conditions without statistical or heuristic models.
Relation
• Derived from: Deterministic Governance Kernel — Large Model Control Framework
• Domain: Food production and processing systems
• Protection scope: Independent domain-specific technical teaching
“What is missing here is not a detail.”
Frank Georg Reichwein — 2025
Automated translations may introduce semantic inaccuracies.
Only the English version is authoritative.