Connect each payroll provider and HR system once to a context layer that normalizes the data, instead of building a point-to-point connector between every source and every report. datascalehr is that context layer for global payroll data, across 180 countries.

Multinationals running payroll in 10, 20 or 50 countries get a different file format and a different set of pay components from every provider. A German payslip carries dozens of statutory line items, and a French payslip uses a completely different structure. Point-to-point connectors multiply with every source and target, and each connector breaks when a provider changes a file format.

datascalehr reads the structure of whatever file arrives and keeps every field, so the German pay components arrive intact. KMod™, the datascalehr AI engine, handles 91% of cases using 4M+ validated decisions across 11,500+ schemas, and a payroll specialist confirms the remaining cases. Finance, HR and compliance teams then query one consistent dataset across every country.