
Migrate any client's data in minutes and never rebuild it again.
DataFlowMapper is an AI workbench for client data onboarding and migration, built for implementation teams at vertical SaaS companies. It lets non-engineers visually map, transform, validate, and enrich CSV, Excel, and JSON files using plain-English instructions, then save those mappings as reusable templates for future client onboardings.
Drag-and-drop source-to-target schema mapping with AI assistance, handling flat files or nested JSON with instant result previews.
Build transformation logic without coding using a visual builder with 50+ functions, AND/OR groups, and a Python escape hatch for advanced cases.
Define validation rules in the same visual interface to catch errors before data loads, with inline error reporting.
Pull supplementary data from local lookups, API calls, database joins, and reference tables during transformation.
Navigate and execute app features with adjustable autonomy levels (auto, per-step, or manual).
Background AI workers map, transform, validate, and self-correct data while flagging items that need human review.
Save and reuse mappings across client onboardings as editable templates so formats never need to be rebuilt from scratch.
Implementation teams at vertical SaaS map and clean incoming client CSV/Excel/JSON files into the product's required import format.
Transform extracts from legacy systems into specific destination import templates during platform switches.
Embed a governed import portal directly into your SaaS so customers can self-serve file uploads without engineering involvement.
Build a transformation once and reuse it across every future client onboarding, with no deploys when a client's format changes.
Start using DataFlowMapper today and boost your productivity.
Visit WebsiteEmbed a white-label, governed import portal into your own SaaS so clients can self-serve uploads with no deploys needed when formats change.

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