Hypergraph Decision Database for Enterprise AI Agents

Combining Memory and Reasoning for Production-Grade AI

Yann Bilien & Patrick Joubert ยท 2025

99%+ Accuracy

<1% Hallucination Rate

100% Traceability

What You Will Learn

  • Why current guardrail approaches fail at enterprise scale and what comes next
  • How the hypergraph architecture binds memory with reasoning in a single database
  • The neuro-symbolic reasoning engine: goal-directed planning with policy-as-code enforcement
  • Causal decision traces for full compliance and explainability
  • Moving decisions outside the LLM to achieve 99%+ accuracy with zero hallucinations
  • Real-world deployment patterns across AWS, Google Cloud, and Azure

Hypergraph Neuro-Symbolic AI Decision Context Graphs Enterprise Agents