Connect & reconcile payroll data. Anywhere. From any source.

Use our global payroll API to connect, merge, aggregate, validate and reconcile any payroll and HR data. Designed for payroll specialists. No developers required.

ML-generated APIs

Upload any file, from anywhere

No coding and no configuration means no technical debt.

In the old days, you’d have to modify the data, translate it, transform it…
datascalehr removes all those steps for us and does it automatically.

Warren Perlman

CTO - Atlas

Reconcile instantly. Scale infinitely. Introducing a never-before-seen payroll solution. 
Allow us to explain.

Your Products and Services

HRIS
Frontend Payroll
Onboarding
Call Center
ESS
Early Wage Access
Money Movement
Compliance
*
Analytics

One global API to integrate your products with your payroll engines.

Network of In-Country Payroll Providers

Hard-to-believe performance.

Faster

Client provisioning and setup*

Faster

Payroll implementation (sales to cash)*

Faster

Daily payroll operations*

Faster

Time-to-productivity for new payroll admins*

*Benchmarks independently performed by one of the world’s largest payroll operator with no input or oversight from datascalehr. Scope: 5 countries, 3 continents, 5k employees. Provisioning & setup refers to the time needed to create the infrastructure for a new payroll client. Daily payroll operations includes monthly workflows such as data updates & payroll reconciliations. 

Machine learning in action.

Countries Connected

L

Fields Mapped

L

Adapters Created

L

Countries currently mapped by KMod™. This number increases regularly as our clients upload files for new countries or connect to new payroll providers.

M

Total number of unique data fields that are currently mapped by KMod™. This number increases everyday as our clients upload new files or map to new systems.

M

Number of complete end-to-end mapping, validations and transformations mapped by KMod™. For example, this could be a Workday PECI file from a client, validated and transformed to connect with a Payroll Engine in Ghana.

M

Averaging:

370

Total Fields Per Country

150

Fields Per G2N

60

Fields Per Export File

20

Fields Per Input File

30

GL Mappings Per Inferface

The reason we can do this is because we support a fundamentally new architecture that is based around machine learning. This enables you to connect from anywhere to anywhere in minutes, with no coding ever.

Learn how we help you.

Which are you?

EOR

You are a brand new EOR and looking for a complete end-to-end platform, or you are an established scaled EOR looking to extract better margins and industrialize.

Global Payroll

You are trying to reduce your implementation backlog and increase your operational margin, or simply trying to focus on building new products.

10x efficiency at a quarter of the cost

On average, we cost a quarter of what it would take for you to build it yourself, with performance that is 10x better.