AI you can hold
accountable.
Record Ranger OS gives every answer a traceable record of its origin, how it was verified, and what happened along the way.
The Accountable Operating System for Document Intelligence
From document to accountable output.
Every value remains linked to its source, confidence, review history, and delivery record, so the answer is already there when someone asks.
Four capabilities. One Intelligence Layer. One connected ecosystem.
Record Ranger OS turns unstructured and semi-structured inputs into structured, validated output that feeds your Intelligence Layer and supports everything that follows.
Governed precision,
not generic extraction.
Human review, confidence thresholds, source linkage, and controlled routing are built into how every output is created.
Documents arrive in countless formats, structures, and levels of complexity.
Record Ranger OS identifies, extracts, verifies, and routes the information your teams need, with evidence attached at each step.
Built for the documents your team actually handles.
Years of workers' compensation, healthcare, and insurance delivery. Not a general-purpose model adapted after the fact.
Handwritten adjuster notes. IME reports. RFAs. Clinical records. Bill review packets. Faxed at 200 dpi, out of order, half of it duplicated. Record Ranger OS processes it with the same evidence attached to every value it returns.
Your validated corrections improve what comes next.
Your documents are not retained.
Confidence-driven QA, built into the workflow
Low-confidence fields are routed for review with the source alongside them, so subject matter experts can validate what needs attention quickly.
When a value falls below the configured confidence threshold, it is routed for subject matter expert review alongside the source.
The reviewer can validate or correct the value before delivery, while the source, confidence, and review history remain part of the evidence record.
Every validated correction improves what comes next.
Predictable by design. At every volume.
Governed processing and per-document pricing make behavior and cost easier to forecast.
The same document type follows the same governed process, with defined schemas, confidence thresholds, routing rules, and review requirements applied consistently.
There are no per-token AI charges passed through to you.
What gets validated today improves what happens next.
Governed QA correction patterns refine future handling, reduce repeat exceptions, and strengthen the intelligence supporting the workflows that follow.
Structured output strengthens the Intelligence Layer you own.
Correction patterns carry forward. Client documents do not.
Client documents are processed and returned, not retained. The seven-year evidence record preserves the non-readable proof of what happened, including identifiers, source references, confidence, routing, reviewer actions, timestamps, and one-way fingerprints.
When your documents are processed and structured, who owns the intelligence, where does it live, and what remains yours if you choose to leave?
Build your advantage.
Not your vendor's.
Where intelligence lives determines who benefits from it over time.
Record Ranger OS is built on a different architecture. The difference is not a policy. It is structural.