Creativ Solutions BV develops deterministic engines that make information and measurement self-verifiable. Our work unites advanced physics and clean digital design to deliver transparent authenticity, trusted data, and reproducible results — from network ingress to laboratory analysis.
We design engines once, prove them mathematically, and deploy them as sealed, auditable modules. Every decision these engines make can be replayed and verified; no hidden keys, no probabilistic models, no blockchain. This approach defines what we call deterministic physics — technology that explains and proves itself.
| Engine | Purpose | Status |
|---|---|---|
| RPF — Real-time Provenance Framework | Foundational framework defining deterministic relations between frequency, time, and acceptance — validated through cosmological and metrological results. Basis for all Creativ engines. | Proven |
| Tuple Engine | Determines deterministic timing, closure, and acceptance rules that allow any event or dataset to become a self-verifying tuple. | Production |
| Core-Lite Engine (CLE) | Synthetic digital derivative of the Tuple Engine. Implements deterministic verification for data and networks using export-safe constants. | Operational |
| Invariant Verification Engine | Applies the GFO mapping directly to physical and biological measurements for reagent-free, deterministic analysis. | Operational |
Permanent proof for any document
The RPF Binder converts any document or dataset into a deterministic, tamper-evident package with a permanent public receipt. Each package carries its own measurable proof of integrity, linking time, structure, and content without keys or signatures.
Binder enables continuous authenticity — from the moment a file is created to long-term archiving — ensuring that every published or shared record can be verified forever, across any platform or jurisdiction. It replaces cryptographic trust with mathematical proof, making information self-authenticating by design.
The RPF Binder is available in both CLI and GUI versions — and now includes a complete online binding and verification system.
Every signal genuine, every timing exact
The RPF IoT Gate deterministically verifies every data packet at ingress. Each transmission is evaluated through explicit TAIV (Time-Aware Ingress Verification) rules — cycle-count, drift, and time-window gates that detect and block spoofed, replayed, or delayed signals in real time. By enforcing deterministic timing instead of probabilistic security, IoT Gate guarantees that all sensor data, control messages, and telemetry reflect live, verifiable events.
It adds no overhead and no encryption layer — only physics-level certainty that every signal is genuine and arrives exactly when it should.
Public authenticity for media and AI content
The RPF Universal Verifier brings deterministic authenticity to the public internet. It allows anyone — platforms, journalists, or individuals — to confirm instantly whether an image, video, or dataset is genuine, when and where it was created, and whether it has been altered.
Verification requires no signatures, PKI, or watermarking: every file carries its own verifiable structure derived from deterministic relations between its data and capture window. Universal Verifier closes the gap between provenance and perception, giving audiences a transparent, auditable way to know what is real.
Universal comparability for lab results
The Invariant Verification Engine applies the deterministic mapping of the General Field Operator (GFO) to laboratory and biological measurement. It transforms measured frequencies or impedances into invariant depth values, enabling reagent-free biomarker verification and direct comparability across instruments and sites.
By converting measurements into structural invariants rather than intensity readings, Invariant Verification provides consistent, audit-ready outcomes that any lab can reproduce. This makes precision analysis faster, simpler, and universally comparable — bringing deterministic physics into daily laboratory practice.
