About Exogram
Founded by Richard Ewing
Product Economist
Richard Ewing is an independent Product Economist who audits engineering spend and exposes the capital risks that metrics don't show. Published in Foundry and Built In, Richard has identified millions in misallocated R&D spend across Series C platforms and B2B SaaS companies.
His audit work revealed a pattern: as AI agents moved from workflow automation to discretionary actors, the critical failure mode shifted. Hallucinations weren't bugs — they were structural. The gap between what AI can generate and what it should be allowed to do was the single largest unaddressed risk.
Exogram was built to close that gap. Not with better prompts or bigger models, but with infrastructure: the execution control plane that governs what agents are allowed to do before they do it.
Richard applies the same rigor to Exogram that he brings to R&D audits — measuring what matters, eliminating what doesn't, and building systems that survive contact with reality.
Design Principles
Deterministic > Probabilistic
Governance must produce the same result given the same inputs. No randomness in enforcement.
Cryptographic > Contractual
Trust is verified through hash chains and audit trails, not legal agreements or model promises.
Model-Agnostic > Vendor-Locked
Every model is a client. No model is privileged. Governance works the same across all of them.
User-Controlled > Platform-Owned
Your facts, your constraints, your audit trail. Exportable anytime. Deletable anytime. No lock-in.
Infrastructure > Application
Exogram is a layer, not a product. It makes other tools better. It doesn't replace them.
The Fundamental Flaw
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 over the next decade, 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 our ten-year trajectory 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.
Contact
Direct / Enterprise: richardewing[at]exogram.ai
Support: support[at]exogram.ai