Turn messy client exports into structured R&D study data.

Data Wrangler ingests wage records, time tracking, project data, and more, normalizing it into a clean dataset your team can actually work with.

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Ingestion Status
0 rows normalized
Sources Detected
Payroll Harvest Jira Rippling
FILES INGESTED 0 files
MAPPING 0% matched

Export ready

Study schema · CSV & JSON

Ready
The data prep scramble stops here

From spreadsheet chaos
to study-ready structure.

Every R&D firm faces the same messy client data problem. Data Wrangler makes it go away.

Before (the headache) After (with Data Wrangler)

"Every client sends payroll in a different format."

Consistent schema across clients

"We spend days reconciling timesheets to projects."

Employee–project–time alignment automated

"W-2s don't match the time tracker."

Cross-source matching and deduplication

"Section G prep starts with spreadsheet archaeology."

Structured outputs mapped to study fields

"Junior staff burn out on data cleanup."

Hours back for actual analysis

How it works

Messy data in. Structured study data out.

Three steps. Drop in what your client sends and get a normalized dataset your team can run a study on.

app.datawrangler.io/workspace
Data Wrangler Live Preview

Drop in your client's files

Drop the exports your client sends

payroll_q4.xlsx w2_batch.csv harvest_export.csv
Payroll Gusto Rippling W-2s Harvest Jira Linear
Data sources

Ingests what your clients actually send.

Wage records, time tracking, project systems. Whatever format lands in your inbox.

Payroll exports

Gusto, Rippling, ADP. Every format your clients use

Time tracking

Harvest, Toggl, Clockify, with hours mapped to projects

Wage records

W-2s, W-3s, 941s

Project tracking

Jira, Linear, Asana

General ledger

QuickBooks, NetSuite

Custom uploads

CSV, XLSX, PDF

Why Data Wrangler

Built by people who have cleaned up thousands of client exports.

Data Wrangler comes from InfoLink, with 20+ years of experience running R&D studies for software, tech, and advanced engineering firms. We built the tool we wished we had.

Automatic

Ingest format-agnostic data

Start with whatever your client sends: payroll exports, wage records, time trackers, and project files, no matter the format or layout.

Normalize

Process and normalize data

Next, process data into a manipulatable format, map fields, and reconcile gaps.

Domain-built

Export into an R&D study schema

Finish with study-ready outputs: employee wages, project allocation, and time by business component in a consistent schema your team can run with.

0+

Real R&D studies informing the product

0+

Years of R&D tax domain expertise

0+

Hours saved on data prep, per study

Any

Client export format, one clean output

Get early access to Data Wrangler

We're onboarding R&D tax firms and CPAs first. Join the waitlist and we'll reach out when a spot opens.

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