Enables fully air-gapped multimodal document processing by fusing layout parsing with text extraction to produce ordered, labelled reading blocks and reconstructed text via an MCP stdio server.
Enables retail merchandising recommendations via an MCP server that ranks candidates with a Thompson-sampling bandit, tracks per-tenant monthly spend caps, and exposes recommend, record_feedback, and budget_status tools over JSON-RPC stdio.
Enables incremental model scoring over an append-only event log, with a tamper-evident, hash-chained audit trail so every decision can be reviewed and independently re-verified.