Raj Brar / Intelligence Architect← Selected work

Privacy and document intelligence

Redactor Pod

A self-hosted system for detecting, reviewing, and permanently redacting sensitive information without sending client documents outside the client-controlled environment.

The problem

Privacy cannot depend on an external model.

Sensitive document workflows require more than detection accuracy. The processing boundary, review path, failure behavior, and permanence of the final redaction all have to be controlled.

Redactor Pod combines domain-specific model work with deterministic document processing, explicit human review, and fail-closed behavior.

72 documentsFrozen corpus
216 pagesRegression evaluation
481 / 481Tested detections
0 false negativesFrozen evaluation

Technical architecture

What sits behind the demonstration

The public architecture establishes the depth of the system while keeping training data, recipes, thresholds, routing logic, and client configurations private.

01 / DEPLOYMENT

Self-hosted processing

Documents remain on infrastructure controlled by the client, with no cloud-model dependency.

02 / MODELS

Fine-tuned open-source models

Multiple model classes are adapted for domain-specific detection, classification, and document intelligence.

03 / REVIEW

Human disposition

Review and disposition remain explicit operating steps instead of invisible model decisions.

04 / FAILURE

Fail-closed behavior

Processing failures stop output rather than silently creating an unsafe document.

05 / EVALUATION

Frozen regression corpus

Changes are evaluated against the same inspectable documents, pages, detections, and dispositions.

06 / OUTPUT

Permanent redaction

The output pipeline removes sensitive content rather than visually masking recoverable information.