AI at work, should be simple and safe 

UNDER THE HOOD: Timestamped, tamper-evident events record every inspection, transformation, disclosure and restoration to provide traceability across the complete data-to-AI lifecycle.

UNDER THE HOOD:

Detection: Local inference combines context-aware entity recognition with deterministic classifiers to identify personal, confidential and regulated information before prompt submission.

Masking: Every outbound request passes through fail-closed policy enforcement that replaces sensitive values with reversible tokens; protected values are restored locally after the response returns.

UNDER THE HOOD: Locally extracted entities, facts and relationships form reusable context for grounded queries and cross-model work.

UNDER THE HOOD: Provider-independent routing keeps control local while enabling model comparison, reviewable results and cost-aware provider selection.