Each layer solves a distinct part of the problem. Together they form the only OOTB infrastructure that bridges structured data, unstructured content, and governed AI-ready context delivery — deployable as multi-tenant, standalone, or hybrid.
Ingests structured data (market prices, fund NAV, bond feeds, options data) and unstructured content (research PDFs, news articles, CIO commentary) from any source — batch or real-time. Every asset is standardized, cleaned, and tagged with a unique AgrudMasterID — enabling precise retrieval without fuzzy matching or hallucination risk.
Every deployment gets a governance domain — a hierarchical address that maps directly to a predefined permission scope. The hierarchy is Entity → Branch → User, and it is restriction-only: each level can only restrict access, never expand it. No user can ever see more than their branch permits; no branch can exceed its entity's scope. Every access event is logged for full audit traceability.
Every interaction — article reads, search queries, tool usage, dwell time — is captured and fed back into a stateful user profile. Over time, the platform builds a high-resolution map of what each user finds relevant, progressively narrowing the context window. For AI use cases, this means an LLM receives 20 curated, governed, permission-checked documents — not 2,000 raw results.
