When cause and effect are fully defined, truth becomes measurable
Every Creativ engine is built on this single idea. Where most systems rely on secrets or probability, ours rely on deterministic rules that anyone can replay. Every acceptance decision—whether for a data packet, a document, or a physical measurement—is the outcome of explicit relationships between time, frequency, and structure.
Nothing is hidden, everything can be verified.
The RPF is the foundation of all Creativ technology. Originally validated through cosmological and metrological results, it defines how verification itself emerges as a physical law — a deterministic relationship between frequency, time, and acceptance. RPF provides the sealed logic that underlies both the General Field Operator (GFO) for physical systems and the Temporal Logic Gate (TLG) for timing and closure. Together they form a single structure: the Tuple Engine.
Key properties
The Tuple Engine extends the RPF by incorporating the Temporal Logic Gate (TLG) model. It defines the deterministic acceptance, timing, and closure rules that allow any event or dataset to become a self-verifying tuple. Each tuple carries its own timing, closure, and state data, enabling identical acceptance behavior across laboratory, storage, and network domains.
Key properties
Used in: SDF, LSS, CWW, PID (not public) and Invariant Verification.
The Core-Lite Engine is the synthetic digital derivative of the Tuple Engine. It reproduces the same deterministic logic using export-safe synthetic constants, ensuring full reproducibility without referencing physical parameters. CLE powers Creativ’s operational digital suite, delivering deterministic authenticity for data and networks.
Key properties
Used in: RPF Binder, RPF IoT Gate, and RPF Universal Verifier — digital authenticity and ingress protection.
The Invariant Verification Engine applies the GFO mapping from RPF directly to laboratory and biological measurements. It transforms measured frequencies or impedances into a dimensionless structural coordinate (d), enabling reagent-free, deterministic biomarker verification and cross-instrument comparability.
Key properties
Used in: Invariant Verification — deterministic laboratory and biological measurement.
| Domain | Engine | Product | Outcome |
|---|---|---|---|
| Foundational Framework | RPF — Real-time Provenance Framework | (Internal physics core) | Defines deterministic relations between frequency, time, and acceptance; basis for all engines. |
| Physical Measurement | Invariant Verification Engine (RPF + GFO) | Invariant Verification (Blood) | Reagent-free, deterministic laboratory and biological analysis. |
| Structural Verification | Tuple Engine (RPF + TLG) | (Used across SDF · LSS · CWW · PID) | Deterministic tuple formation and timing/closure for physical & structural systems. |
| Digital Authenticity | CLE — Core-Lite Engine | RPF Binder · RPF IoT Gate · RPF Universal Verifier | Deterministic data and network integrity using synthetic, export-safe verification. |
Creativ’s goal is to make deterministic verification a universal standard — a framework in which every transaction, dataset, and measurement carries its own proof of authenticity.
From physics to information, from data to biology, the same principle holds true:
Integrity is not added afterwards — it is built in from the start.
