Gable is a data lineage platform for regulated enterprises that helps teams understand how sensitive information moves through software systems and AI workflows. Using static analysis of source code, it traces data from consumer-facing applications through backend services, transformations, and storage destinations. This field-level visibility enables organizations to answer audit, privacy, compliance, and model-risk questions with evidence rather than manually reconstructing flows across services.

Gable’s analysis does not require runtime agents, sampling, or production data access, and can be integrated into CI/CD workflows to capture lineage at build time and associate it with releases. The platform documents which data reaches machine-learning models and chatbots, and records whether fields were masked, filtered, or transformed. It also provides audit-ready lineage reports, evidence exports, and release snapshots for compliance reviews, procurement, and regulatory requests. By making data flows easier to inspect and document, Gable helps engineering and compliance teams support safer releases and more transparent AI decision-making.