AI Trust Infrastructure • Admissibility Layer

Models decide.
Exogram determines what
they're allowed to decide.

The admissibility layer for autonomous AI. Enforces truth, detects contradictions, and constrains judgment to verified reality — across every model.

No training on your dataNo assistantsYour ledger. Your authority.

Works with every AI you already use

OpenAI · Anthropic · Gemini · Copilot · Perplexity · Local Models

The Actual Problem

AI has a truth problem.

Most AI failures are invisible. An AI answers confidently. You trust it. Later, you discover it contradicted itself, hallucinated context, or quietly changed its answer.

Nothing crashed. Nothing alerted you. The system "worked." This is how companies lose money, credibility, and compliance — silently.

Without Exogram

AI says X → Later says not-X → No alert → Decision made on false information → Liability accrues silently

With Exogram

AI says X → Later says not-X → Conflict detected → Human resolves → Truth preserved → Decision is defensible

This is not a model problem.
It is a missing infrastructure layer.

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Conflict Detection

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Query Latency

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Encryption

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Auditability

Capabilities

The Admissibility Layer for AI Decisions

Exogram sits between AI reasoning and AI action. It doesn't generate outputs — it governs them. Courts don't decide outcomes randomly. They determine what evidence is admissible. Exogram does this for AI.

🏛️

Truth Ledger

Versioned, timestamped, source-attributed facts. No silent overwrites.

⚖️

Constraint Engine

Lockable rules that no model can violate. Policy becomes executable law.

🔍

Conflict Detection

Contradictions are flagged immediately. No guessing. No silent merge.

📋

Provenance Registry

Every fact is source-bound. You always know where information came from.

⏱️

Temporal Tracking

Facts have time boundaries. Expired context is explicitly marked, not silently reused.

📜

Audit System

Immutable, hash-chained event log. Every mutation is attributable and exportable.

🛡️

PII Air Gap

SSN, email, phone, credentials scrubbed before storage. Blocked data is never persisted.

🔗

Multi-LLM Consistency

One truth layer shared across ChatGPT, Claude, Gemini, and every model you use.

Architecture

Four Steps to Governed AI

01

Connect

Exogram integrates via browser extension, API, or native plugin. No model lock-in. No workflow rewrite. Install and go.

02

Record

Only explicit statements become ledger entries. Every entry is versioned, timestamped, and sourced. No inference. No guessing.

03

Detect

When any AI output conflicts with recorded truth, Exogram flags it immediately. Contradictions cannot pass silently.

04

Enforce

Critical facts become constraints. Constraints cannot be violated by any model, any user, or any agent. Policy becomes law.

The Decision Boundary

17 Possible Outcomes.
Exogram Eliminates the Invalid Ones.

When an autonomous agent faces multiple possible actions, Exogram doesn't pick the winner. It removes every option that violates truth, constraints, scope, provenance, or temporal state.

17

Model proposes

-14

Exogram filters

3

Admissible remain

9 violated constraints — gone. 3 relied on missing facts — blocked. 2 contradicted verified state — rejected. The model may now choose among the 3 that survive.

Deterministic Yes

Only one admissible option remains. The answer is certain.

Deterministic No

All options violate constraints. No action is permitted.

Indeterminate

Required context is missing. Decision blocked until resolved.

Who This Is For

Built for everyone who depends on AI being right.

Developers

Lock architectural decisions as constraints. Prevent regression loops. Govern autonomous agents across sessions.

Platform Teams

One truth layer across every LLM vendor. Policy unification. RAG integrity. Versioned knowledge control.

Product Managers

Stop AI from promising features that don't exist, contradicting your roadmap, or hallucinating commitments.

Security Teams

Enforce token lifetimes, access control invariants, and PII blocking as non-bypassable architectural constraints.

Compliance & Legal

GDPR enforcement, audit trace export, deletion tracking, and non-repudiation logging — all executable, not manual.

Enterprise Leadership

Defensible AI deployment. Agent accountability. Governance you can show to regulators and boards.

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