
Exogram
The Verification Infrastructure for AI
AI systems generate language. Exogram maintains reality. A verification layer that sits between AI models and your application, ensuring every output is structurally valid, operationally safe, and auditably correct.
Founded by Richard Ewing
AI Economist
The Deterministic Control Plane for the AGI Era
Everyone is trying to build autonomous agents, and eventually AGI, on top of a fundamentally broken architecture.
Standard large language models are nothing more than stochastic text predictors. They guess the next word. They do not possess memory, they do not retain context, they cannot infer meaning, and most importantly, they have zero capacity for accountability.
You cannot build an autonomous AI being on a foundation that hallucinates and forgets. As we move from basic chat wrappers to autonomous systems taking actions in the real world, admissibility and accountability become existential requirements.
Exogram AI is built for this future. We are the deterministic control plane for the AGI era.
We capture immediate market value today by providing Layers 1 and 2. We fix the baseline LLM flaws by injecting persistent memory and structured inference. This makes today's AI actually usable.
But true autonomy relies on Layers 3 and 4. These are the strict admissibility, accountability, and cryptographic guardrails. When AI transitions from software tools to autonomous entities operating within enterprise and government infrastructure, they will require an immutable trust ledger to verify every action. Exogram is that ledger. We are building the regulatory and operational baseline that makes AGI safe to deploy.
The Problem
AI didn't fail because it's not smart enough.
It failed because it doesn't know what it's allowed to be wrong about.
Modern AI Systems:
- • Generate fluent language without knowing truth
- • Forget prior decisions and context
- • Blend facts with confident confabulations
- • "Remember" errors as confidently as truth
- • Operate without operational boundaries
- • Process adversarial inputs without detection
The Business Impact:
- • Hallucinations become policy decisions
- • Guesses become financial commitments
- • Memory corruption becomes liability
- • Trust becomes impossible at enterprise scale
- • Compliance violations accumulate silently
- • AI costs spiral without governance
The Stack
Exogram is the missing layer in the AI stack.
LLMs generate language. Exogram maintains reality.
Together, they enable intelligence that remembers, reasons, and can be trusted.
Verification Architecture
Four independent verification layers. Adopt incrementally. Each one reduces AI risk measurably.
Schema Integrity Engine
<5ms validationValidates every AI output against structural contracts. Catches hallucinated fields, missing data, and type mismatches in <5ms.
Boundary Control Protocol
EAAP v1.0Enforces operational scope for AI agents using the EAAP protocol. Prevents unauthorized actions and scope creep.
Threat Prevention Layer
99.2% detectionDetects prompt injections, data exfiltration, PII leaks, and adversarial inputs with 99.2% accuracy.
Memory Integrity System
EncryptedCryptographic verification of AI memory. Prevents memory hallucinations and maintains cross-session consistency.
Built for Every Industry Deploying AI
Healthcare, finance, legal, and enterprise teams trust Exogram to verify AI outputs before they reach users.
Healthcare
99.8% accuracy
Financial Services
100% audit trail
Legal
Zero hallucinated citations
AI Agents
100% action verification
E-Commerce
40% fewer tickets
Education
98% factual accuracy
"I write about why AI systems fail economically through my AI Economist work.
Exogram is what I'm building to fix it."
Founded by Richard Ewing
AI Economist
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