Kettle Systems provides end-to-end provenance infrastructure that makes both questions answerable with certainty.
Opposing counsel produces a document in discovery. Your team needs to know whether it's been altered since creation. You also need to know where exactly a disputed claim appears in the record.
An analyst delivers a conclusion. The first question is whether the underlying sources are intact. The second is whether the conclusion traces to specific evidence.
An AI system returns an answer from your document corpus. The question is whether that answer was extracted or hallucinated. The follow-up is which specific paragraph it came from.
Most systems address one side of this problem. Kettle Systems collapses that distinction.
Every document is cryptographically anchored at ingest. SHA-256 content addressing establishes a deterministic identity. Entropy-based forensic barcoding captures the file's structural fingerprint. Ed25519 identity signing binds authorship to the record.
Every claim extracted from a document is traced to its exact source sentence, paragraph, and page. A structured graph retrieval pipeline preserves that provenance chain through every stage of the answer.
Kettle Core unifies both layers. A claim is only valid if its source document is intact. A source document is only meaningful if its claims can be traced. Both conditions are enforced simultaneously. That enforcement holds from raw file to delivered answer.
Anchor documents at production. Detect post-production modification at the byte level. Trace specific claims to their exact location. Provide forensic evidence that holds up under challenge.
Ensure every conclusion traces to intact source material. Enforce access controls at the claim level. Deploy entirely on-premise within classified or air-gapped environments.
Every answer in a Kettle-powered RAG system carries its source citation. That source can be verified as unmodified. Extraction is distinguished from hallucination with structural certainty.
Anchor archival collections with tamper-evident provenance. Extract structured claims and relationships from the corpus. Make institutional knowledge searchable while maintaining the integrity chain back to original materials.
The full pipeline has been deployed against the Turnbull National Wildlife Refuge documentary archive. The corpus includes wildlife management reports, survey records, and habitat assessments processed from ingest through retrieval.
The system deploys inside your environment, under your control. No data leaves your network.
All documented bugs were found through active deployment against real documents under real query load.
Three configuration files define what the pipeline knows about any collection. New domains are bootstrapped with automated tooling. Validation runs confirm coverage before full ingest.