Intellectual Property
Forever Spoken is advancing a new research domain focused on computational fidelity, provenance, and governance for AI representations of human identity. The frameworks below name that architecture; the methods behind them are proprietary and disclosed selectively under confidentiality.
Research Domain
Forever Spoken is advancing a new research domain focused on computational fidelity, provenance, and governance for AI representations of human identity, not another memorial application.
Moat
Our value is in the frameworks, methods, and measurement, not a single feature. The architecture is the moat.
Standard
We aim to establish a measurable standard for truthful, provenance-aware AI representations of human identity, independent of the interface through which those representations are presented.
The Portfolio
The complete four-layer architecture is described on The Identity Stack. Below are the four research assets that carry the proposed work, followed by the supporting architecture around them.
The Four Load-Bearing Frameworks
The proposed research and overarching technical framework.
The evidence and provenance infrastructure. Traces why the system trusts what it knows.
The measurement and evaluation system. How faithfully a representation reflects the identified individual.
The human review, authorization, and policy layer.
Supporting Architecture
All marks are trademarks of Forever Spoken, LLC. Framework names marked ™ are claimed as common-law trademarks. Underlying models, scoring methods, and data schemas are proprietary and are disclosed selectively under confidentiality.
How This Connects to the Proposed Research
The proposed Computational Fidelity Framework does not start from a blank page. Five existing assets already carry the technical weight of the STTR proposal: the Digital Identity Provenance Graph™ supplies evidence and provenance, the Identity Fidelity Index™ supplies measurement, Computational Memory Governance™ supplies the authorization and review layer, the Memory Provenance Framework™ supplies the underlying data lineage model, and the Identity Fidelity Framework™ supplies the scoring architecture the Index draws on. The proposed research builds on this architecture rather than starting one for a funding cycle.
Disclosure Posture
We share openly
We protect and disclose selectively
Detailed methods are shared under confidentiality with research and commercial partners, and within federal research proposals, never published on the open web.
Partners and investors can review the technical detail under NDA.
