Mission

Artificial intelligence systems are rapidly becoming intermediaries of trust.

They interpret information, synthesize sources, and increasingly influence which organizations are visible, credible, and recommended.
Yet, despite their growing role, the way AI systems perceive and validate organizations remains largely opaque and unstandardized.

While metrics exist for performance, visibility, reputation, and authority, these frameworks were designed for human evaluation — not for artificial intelligence.

As a result, organizations are already being assessed by AI systems using implicit criteria they cannot see, verify, or understand.

This creates a structural imbalance.

Decisions are influenced by AI-mediated trust signals, but no neutral, cross-model standard exists to measure or interpret those signals.

The Standard & Trust Company  was founded to address this gap.

Its purpose is not to optimize, influence, or manipulate AI systems, but to observe, measure, and document how artificial intelligence interprets organizational credibility across the digital landscape.

By establishing a structured, model-agnostic framework for AI trust evaluation, Standard & Trust aims to provide a reference point — one that allows organizations, researchers, and institutions to understand AI perception before attempting to act on it.

 Standard & Trust exists because AI trust is already shaping decisions.
And trust, without transparency or standards, cannot remain unexamined.