Combining the power of large language models with symbolic reasoning. Every decision is explainable, auditable, and traceable.
These are real decisions from our graph database. Click any claim to see the full reasoning chain.
Claim data enters the system with policy, pet, and incident details.
System traverses the knowledge graph: Claim → Pet → Policy → Rules → History.
Deterministic rules evaluate coverage, excess, limits, and exclusions.
For ambiguous cases, LLM provides contextual analysis with full transparency.
High-value or edge cases flagged for human review. Full audit trail preserved.
Every decision linked to rules, rationale, and reviewer. Forever queryable.