Ingests what your clients actually send.
Data Wrangler reads exported files — not live integrations you have to set up. Whatever format lands in your inbox, it maps into one consistent, study-ready structure.
Vendor names below describe the export formats Data Wrangler understands — you upload the files, no account connections required.
Wage and hours runs from Gusto, Rippling, ADP, Paychex — whatever format your client uses.
W-2s, W-3s, and 941s, read straight from the documents your client files.
Harvest, Toggl, Clockify and similar exports, with hours mapped back to projects.
Jira, Linear, and Asana exports that tie engineering effort to business components.
QuickBooks and NetSuite exports for supplies and contract research context.
Anything else in a spreadsheet or PDF — internal trackers, one-off client files.
A consistent study schema, every client
However the inputs arrive, the output is the same structured dataset — built around the fields an R&D study needs.
Qualified wages resolved per employee across sources.
Effort and cost allocated to projects and business components.
Hours distributed across qualifying activities.
Exported as CSV and JSON, ready to drop into your existing study workflow.
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