Decision-OS surfaces patterns in public FDA records — inspections, enforcement actions, Drug Master Files, Orange Book — that manufacturers' internal teams don't aggregate. Every finding traces to a primary source.
Decision-OS ingests directly from FDA public data: the Inspection Classification database, Warning Letters, the Drug Master File registry, the Orange Book, and enforcement records. No third-party aggregators.
Statistical and time-series methods applied across facilities, inspection histories, and enforcement timelines — surfacing patterns that only become visible when public records are aggregated systematically.
Every claim resolves to the primary record that supports it: source, retrieval timestamp, and content hash, anchored in a Merkle audit chain. Any finding can be independently verified against FDA's published data.
Regulatory findings are only useful if they hold up under scrutiny — from your own quality team, from procurement, from counsel. Decision-OS is built so every claim can be checked, not trusted.
Each cited record carries its primary-source URL, retrieval timestamp, a content hash of the source document, and its position in a sealed Merkle audit chain. If a finding cannot be traced to a primary FDA record, it does not appear in the report.
Open the URL, run sha256 on the returned PDF, and compare it to content_hash above — it matches, byte for byte. The document is a public filing in the National Stock Exchange of India archive.