Datafold

Datafold automates data engineering, led by the Datafold Migration Agent, an AI agent that translates legacy code (SQL dialects, stored procedures, and GUI based ETL tools like Informatica, SSIS, Matillion, and Talend) into modern targets such as dbt, then validates the result with Cross Database Diffing that compares every value to prove one to one parity. The agent runs an iterative LLM feedback loop that self corrects from both compilation errors and data discrepancies until parity is reached, while elite engineers stay in the loop for oversight, edge cases, and refinement. A Data Knowledge Graph gives the agent deep context on pipelines, code, and data semantics and also serves as a context layer for customers' own coding agents. Data Diff and monitors are exposed via MCP so coding agents can validate their own work, reconcile data, and debug production issues. Beyond migrations, Datafold provides data quality testing in CI/CD, monitoring with anomaly detection, and data lineage. It is SOC 2 Type II, GDPR, and HIPAA compliant, can deploy in the customer's VPC on AWS, GCP, or Azure so data never leaves the perimeter, and can run inference on the customer's own approved LLM endpoints. Pricing is outcome based with a fixed price, timeline, and data parity guaranteed by contract.