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Intellectual Property

Defining, and defending, a new category.

Forever Spoken is establishing Computational Identity Science as a discipline, and building a portfolio of trademarked frameworks and patent-pending methods that make the category both credible and defensible.

Category

A named discipline

We are defining a new category of human-centered AI focused on the scientific understanding of digital identity, not another memorial app.

Moat

Frameworks as IP

Our value is in the frameworks, methods, and measurement, not a single feature. The architecture is the moat.

Standard

Setting the bar

We aim to establish the global standard for trusted digital humans, a standard others can build on and cite.

The Portfolio

Trademarked frameworks, patent-pending methods.

The marks below name the components of our architecture. The names establish the category; the methods behind them are protected.

Core Architecture

Forever Spoken Identity Stack™

The four-layer architecture for trusted digital humans.

Persona Genome Framework™

Models who a person is across twelve identity domains.

Personality Operating System™

Governs how a person thinks, reasons, and communicates.

Digital Identity Provenance Graph™

Traces why the system trusts what it knows.

Persona Fidelity Index™

Measures how faithfully a representation reflects the person.

Computational Memory Governance™

The provenance-first, human-in-the-loop trust discipline.

Supporting Frameworks

Identity Graph Architecture™

Memory Provenance Framework™

Adaptive Authenticity Engine™

Digital Legacy Governance Model™

Persona Fidelity Framework™

Computational Identity Theory™

All marks are trademarks of Forever Spoken, LLC. Patent pending. This list reflects the frameworks named in our foundational documents and may expand as filings progress.

Disclosure Posture

What we share, and what we protect.

We share openly

  • ◆ The problem we solve and why it matters
  • ◆ The names and purpose of each architectural layer
  • ◆ Our governance principles and roles
  • ◆ Our research questions and standards alignment

We protect and disclose selectively

  • ◆ The models, algorithms, and scoring methods
  • ◆ Data schemas and weighting schemes
  • ◆ Implementation of fidelity measurement
  • ◆ Anything that would let a competitor copy the approach

Detailed methods are shared under confidentiality with research and commercial partners, and within federal research proposals, never published on the open web.

Request a confidential briefing.

Partners and investors can review the technical detail under NDA.