Prophecy unveils AI data prep tools so business teams can build pipelines without engineers

Prophecy, a data platform startup based in San Mateo, has launched a new set of AI‑powered data preparation tools aimed at closing the gap between ambitious AI projects and the messy reality of enterprise data. In most organizations, the hard part isn’t running an ML model—it’s cleaning, joining, and reshaping raw data, work that often falls to a handful of spreadsheet power users or an overloaded data engineering team.

Prophecy’s new release introduces AI agents that propose end‑to‑end data workflows, which business users and analysts can then inspect and adjust through a no‑code, visual interface. The platform now supports major cloud data warehouses, expanding its agents from Databricks to Snowflake, so approved workflows can run directly where the data already lives.

A key design choice is transparency. Rather than hiding the details behind a black‑box assistant, Prophecy lets users review each transformation step—what columns were added, how fields were cleaned, how tables were joined—before putting a workflow into production. The company argues that this combination of agentic automation and human review is what will finally let non‑engineers own reusable, production‑grade data pipelines, helping more AI pilots progress from experiments to real business impact.