Typedef provides a trust layer for enterprise AI, helping organizations make AI answers and data changes more reliable. Its Data Context Layer compiles a living semantic ontology from an organization’s code, connecting definitions, pipelines, dashboards, and systems across the data platform. Designed for data and platform engineering teams, the platform gives AI agents current, traceable context about how data is built and used.

Typedef supports practical workflows including assessing the downstream impact of code changes, tracing pipeline failures to their causes, reconciling metrics across systems, and creating change plans with verification steps and risk analysis. It also helps teams compare metric definitions and equip business intelligence agents with a shared model of the data stack, making answers more explainable.

The company reports testing its approach on real-world data workflows, including impact analysis, root-cause debugging, and model refactoring. Enterprise features include SOC 2 Type II and GDPR compliance-aligned controls, private VPC deployment, SSO, role-based access control, audit trails, and operation within the customer’s environment without data egress.