The Infrastructure Layer for Trustworthy AI
$67.4B lost to AI hallucinations in 2024. 95% of enterprise AI projects fail. And every AI agent "dies" every 30 minutes when context compacts. We're building the infrastructure layer that makes AI trustworthy and persistent—by construction, not hope.
Filed and pending patents covering semantic enforcement, bidirectional transformation, and mereological type systems.
Production validated through comprehensive semantic modeling in real-world application. Self-hosted: AYIOS tracks AYIOS.
AI agents focus on semantic modeling. Tests are derived. Documentation IS the schema. No drift because there's only one artifact.
Context mortality solved. AI agents preserve cognitive state across discontinuities. Self-hosted: 30+ context cycles, zero semantic drift.
The Paradigm Inversion
Schema IS implementation. Traditional: Requirements → Design → Code → Test → Document → Maintain. With AYIOS: Requirements → Schema → Deploy. Tests are derived. Documentation IS the schema. Code is compiled semantics. No drift because there's only one artifact.
AI as first-class developer. AI agents propose schema changes, not code that might be wrong. The compiler validates semantic correctness. Humans review semantic intent, not syntactic correctness. 10x less boilerplate—focus on what matters.
Violations as data. When something fails, you get structured JSON with mereological paths—not exception strings to parse. AI agents can reason about failures. Every violation includes what failed, why, and the exact path from whole to part.
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