AI Knowledge Harvester & Enterprise Memory

The knowledge that leaves with people

The most valuable knowledge is scattered across systems, documents, and — worst — a few experts' heads. People lose 30–45 minutes hunting for a trusted answer, solve the same problem twice, and lose decades of judgement when someone retires.

Three kinds of knowledge, one graph

It harvests structured (ERP, MES, PLM, CRM), unstructured (SOPs, manuals, emails, meetings) and tacit (experts, lessons, decisions) knowledge, then runs it through a governed lifecycle — Capture, Understand, Organize, Validate, Govern, Activate.

A loop, not a dump

Unlike a document repository, the harvester learns from new content, detects its own gaps, and prompts the right experts to fill them — every answer source-traced and audit-logged. Retrieval drops from 45 minutes to under two, memory is preserved before it walks out, and one governed foundation powers assistants, onboarding, expert discovery, compliance and decisions.