Turn Any Client File Into Payroll-Ready Data
Accept the files your customers already have. Ingestro’s AI agents map them to your payroll schema, validate them against local payroll rules, and transform them into the exact structure and format your payroll engine expects.

The Ingestro advantage over datascalehr competitors
Key differences between datascalehr and Ingestro
Focus
Purpose-built to turn incoming CSV, XLS(X), XML, PDF files into payroll-ready data leveraging AI agents
Connecting HR systems to payroll providers across many countries
Files accepted
Multi-tab XLSX, XLSM, CSV, XML, and PDF files, even when columns change. Also ZIP legacy exports and HR system connectors
Formats aren’t listed publicly, so you may want to confirm them with the vendor
Mapping
AI agents trained on thousands of industry mapping decisions map client data to your payroll schema and reuse past mappings
Predicts mappings and learns from decisions specialists have confirmed
Transformations
Plain-language changes applied by agents, with every changed value traceable to its original
Public materials focus on the mapping capabilities
Deployment
Available as a standalone platform or embedded directly into your own product
A platform with a guided workflow and an API, but it can’t be embedded in your own product
Agents prepare the data. Your consultants support the clients.
Ingestro agents read whatever file a client sends, check it against your payroll rules, and prepare the files your payroll engine expects. Your consultants can focus on guiding clients to a successful go-live.
Engineered to meet every scale and security requirement
Ingestro integrates unmatched reliability, performance, and security to create the infrastructure that supports enterprise-level growth.
Lano cut payroll data import time by 90% across 170+ countries
With Ingestro, Lano transformed payroll data onboarding from a full working day to just one hour. By automating imports from clients worldwide, they freed their teams from manual data wrangling, ultimately speeding up time to value.
Ingestro handles the complex data preparation we couldn't scale manually, turning a full day of reformatting work into about an hour and helping us onboard more clients without adding headcount.
Anastasia Kuzmina
Senior Product Manager
Frequently asked questions
How is Ingestro different from datascalehr?
datascalehr connects HR systems to payroll providers, and its focus is mapping, plus error checks and a reconciliation step. Ingestro goes further: you can accept the files your clients already have, then map, validate, and transform them into payroll-ready data. You can also embed an importer so your customers can self-serve.
How long does it take to start using Ingestro?
You see value from the first demo. Because there is no implementation project to schedule and no engineering dependency, the users who own the data build the first workflow themselves. Most teams have one running in their first week and then expand source by source. Ingestro’s service-first approach means our team works alongside yours throughout setup.
What does AI actually do when we use Ingestro?
AI agents do the interpretation work your team currently does by hand. They read the structure of each file, map it to your target data model based on context, and flag errors, inconsistencies, and missing values with suggested corrections.
Instead of writing a script or a spreadsheet formula, you describe the transformation in plain language and the agent applies it across the whole file.
The agents improve as they process more of your data, so recurring deliveries from the same source require progressively less attention. You decide what runs automatically and what requires review, and every step remains visible and traceable.
How does Ingestro differ from an ETL or integration tool?
ETL and integration tools are built for data from systems you own or control. They assume a known source, a stable target schema, and a pipeline that only needs to be defined once. That’s why they typically break the moment a customer renames a column in spreadsheet or sends last quarter’s layout.
Ingestro is built to handle data that arrives from outside your organization – in whatever format the sender chose.
Instead of a fixed pipeline, you create reusable workflows that interpret each file, adapt to variance, and prepare the data to match your target structure.Instead of sitting with engineering, that work stays with the implementation and operations teams who already know what the data is supposed to look like.
How does Ingestro’s pricing work?
Pricing combines a monthly base rate with a usage-based component. The base rate depends on the feature scope you choose, and the usage fee is based on the volume of files you process each month. Ingestro is billed monthly under an annual license, meaning a one-year commitment with monthly payments. For any questions on Ingestro’s pricing, please contact us at sales@ingestro.com.
See how easily you can turn your customer files into ready-to-use data with Ingestro’s AI agents.