Rippletide — Whitepaper
Hypergraph Decision Database for Enterprise AI Agents
Combining Memory and Reasoning for Production-Grade AI
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
HypergraphNeuro-Symbolic AIDecision Context GraphsEnterprise Agents