Multi-Modal Ingestion Engine

Suppliers ship PDFs, imagery, and conflicting tables; agents need a single canonical truth. Classic OCR-plus-LLM pipelines hallucinate under pressure unless ingestion is treated as a quality system, not a one-shot extract.

A staged pipeline: capture provenance, normalize representations, extract with confidence bounds, quarantine conflicts, and promote only validated fields into the agent-facing graph—with human review concentrated on liability-heavy attributes.

R&D track: reducing time-to-promote for high-value attributes while holding abstention rates flat. Designed to pair with CFI gates at the boundary to agent surfaces.