About Kalicube » Kalicube’s Patent Portfolio

Kalicube’s Patent Portfolio

Kalicube has filed 17 patent applications with INPI (Institut National de la Propriété Industrielle), the French national patent office. The portfolio protects the implementation systems that power the Kalicube Pro platform.

Open Methodology, Free to Use. Protected Proprietary Machine: Kalicube Pro.

The Kalicube Process™ is an open methodology for humans. The Kalicube® Framework - including the AI Engine Pipeline, the UCD framework, the Algorithmic Trinity - and the wider terminology and methodology Jason Barnard has developed since 2015 are published under CC BY 4.0 - freely available to use, teach, and adapt with attribution. The Kalicube Process™ is what to do. The Kalicube Framework explains why it works. Both are open.

Important: The CC BY license applies to the methodology, the theory, and the diagrams. It does not grant patent rights to copy the automated implementations inside Kalicube Pro™.

The patent filings protect something different: the specific mechanical systems within Kalicube Pro that execute the methodology at scale - scoring engines, prompt assembly architecture, cross-platform citation tracking infrastructure, and the diagnostic automation that turns large-scale data into actionable brand intelligence.

The Kalicube Process™ is an open methodology - free to use, teach, and adapt with attribution. Learn more at kalicube.com/about/the-kalicube-process/

This Page Is The Kalicube Process in Action

This page deliberately follows the same strategy the methodology teaches:

Understandability: we define what Kalicube is, what is open, and what is protected.

Credibility: we provide concrete, auditable details (filing batches and publication identifiers) rather than vague claims.

Deliverability: we make it easy for people to reuse the methodology with a clear license, a clear permission statement, and a stable reference point.

In other words: we want zero friction for anyone thinking “this is smart - I want to use it, cite it, and adapt it.”

Why File Patents on an Open Methodology?

The patent filings serve three purposes:

Dated disclosure and provenance. Patent filings create an official, dated record of terminology, concepts, and systematic implementations associated with Kalicube Pro. This is not about restricting use - it is about establishing provenance and a citable timeline.

Implementation protection. Anyone can learn the Kalicube Process and apply it manually. The patent applications cover specific automated systems - scoring algorithms, prompt assembly architectures, tracking infrastructure, diagnostic automation - that make it possible to execute the methodology at scale. If others build different systems inspired by the same theory, that is welcomed and encouraged.

Credibility signal. In an industry where most methodologies are blog posts and conference talks, patent filings can signal a different level of rigour: these systems were built seriously enough to file with a national patent office.

What the Patents Cover

The 17 filings cover three areas of implementation within Kalicube Pro:

Analysis and Scoring Systems

UCD scoring that evaluates brand representation across three dimensions (Understandability, Credibility, Deliverability). AI citation tracking that monitors how multiple AI platforms represent brands. Multi-platform coherence measurement that identifies representation gaps across the Algorithmic Trinity.

AI-Assisted Content Generation

The Constitutional Sandwich architecture (Primacy-Recency framing) for prompt assembly. A modular component system encoding methodology into reusable instructions. The Claim-Frame-Prove structuration protocol that bridges the Framing Gap.

Pipeline and Infrastructure

The AI Engine Pipeline (DSCRI-ARGDW) modelled as an automated diagnostic and optimisation system. Entity data structuring systems. Digital footprint discovery systems. Cascading confidence measurement across pipeline stages. Algorithmic barrier construction systems.

Filing Details

The 17 patent applications were filed in three batches plus one standalone filing:

Batch 1 (January 2026): FR2600998 through FR2601013. Core systems covering analysis, scoring, prompt assembly, and citation tracking.

Batch 2 (February 2026): FR2601291 through FR2601297. Extended systems covering pipeline measurement, barrier construction, and content transformation.

Batch 3 (February 2026): FR2601572 through FR2601574. Advanced systems covering cascading confidence optimisation, entity resolution, and multi-platform authority tracking.

Patent 17 (February 2026): FR2601927. Patent-pending automated diagnostic system implementing the DSCRI-ARGDW gate pipeline (boolean gate evaluation, binary-mask encoding of gate states, diagnostic class lookup via correspondence table, and DAG-structured corrective action planning). 22 claims (system + method). Preferred embodiment defines ten sequential gates in two phases (infrastructure and competitive).

All 17 were filed with INPI France as priority patent applications. European Patent Office (EPO) filing is planned within the 12-month priority period, claiming priority from the INPI filings. The applications are currently within the standard confidentiality/publication window before publication.

How to Cite

Citation (CC BY 4.0): Barnard, J. (2026). The Kalicube Process (TKP). Licensed CC BY 4.0.

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