Denver, CO — July 8, 2025. Flatfile, the leading platform for AI-powered data onboarding, has announced the release of Transform today, its most expansive agentic AI experience yet. Transform enables users to clean and format data with unprecedented speed and accuracy, cutting data preparation time by up to 80%.
The new capabilities represent a significant evolution in Flatfile’s platform, which integrates agentic AI throughout the data preparation workflow. Transform enables Flatfile users to not only prompt an agent to perform data cleanup and transformation tasks, but to review and apply data cleanup suggestions generated entirely by the agent. It takes the burden of both analysis and execution off of the users, while keeping them firmly in control through human-in-the-loop review processes.
“Transform fundamentally changes how users interact with data inside Flatfile,” said David Boskovic, Co-Founder and CEO of Flatfile. “We’re giving users the power to act on intelligent recommendations and re-apply prior decisions, and the confidence that their agent understands the structure and purpose of their data. We're one step closer to Flatfile's mission of making data migrate itself.”
Even after data has been mapped to the desired schema, users still spend hours (if not days or weeks) preparing the data for onboarding or migration—fixing formatting issues, standardizing values, and ensuring that business requirements are met.
Transform was built to address this universal challenge for enterprises.
Transform builds on previous AI features within Flatfile to offer customers a context-aware and repeatable data transformation experience, right within the customers' workbooks.
The AI agent reviews each record, referencing validation rules and past user decisions, to recommend relevant transformations ("transforms"). Suggestions appear next to fields as the agent runs, and can be applied with a click.
Analyze scans the dataset row-by-row and determines what errors and formatting issues the agent can solve.
These solutions are surfaced as Suggestions next to the relevant fields. Users can review, preview how the transformed data would appear, and modify or apply the Suggestion.
Each time a transform is applied—whether it was suggested by the agent or prompted by the user—there is the option to save it for later use. Users can individually apply Saved Transforms or select to "Run All" each time new data is imported. This makes every subsequent import faster, easier, and more consistent.
Users can also prompt transforms directly from any field, or refine AI suggestions inline—giving users granular control over how data is cleaned and adapted.
Unlike generic automation tools, Transform is context-aware. The agent references your unique validation rules, schema, and past decisions when generating suggestions or responding to prompts—so its recommendations are both intelligent and relevant.
Users can preview all their data changes, accept or reject recommendations, and roll back modifications at any time with version history.
Transform is available to Flatfile customers starting today, July 8th. To explore Transform and Flatfile, visit https://flatfile.com/product/transform.
About Flatfile
Flatfile is solving one of the most widespread challenges across enterprises today: efficient customer data onboarding and migration. Flatfile’s AI-enabled data preparation platform puts the power of a database in a familiar spreadsheet interface, enabling non-technical users to prepare, map, validate, and transform data. 3000+ teams, including ADP, Amazon, HubSpot, Toast, Sage, and BuildOps, use Flatfile to decrease their data migration time by 70% and deliver a better customer experience from day one. Learn more at www.flatfile.com.