This design outlines a scalable, modular system for detecting contradictions in "Evidence Bundles" (e.g., records from diverse sources like APIs, databases, or files), scoring their confidence, reconciling conflicts, and ensuring data quality. It leverages rule-based logic, semantic similarity, and statistical models, orchestrated for determinism and observability. The system integrates with broader pods (Kernel for processing, Governance for compliance) and supports hundreds of sources while adhering to SOC 2 and GDPR.