No. Shared KMod™ holds only abstract, expert-confirmed field relationships, such as "Dept_Code corresponds to Cost_Center", with a confidence score. datascalehr removes the client name, system...
No. datascalehr sends only header and contextual metadata, such as column names, country and pay frequency, to large language models. Personal Data and data values never leave the datascalehr...
datascalehr's AI works with five categories of data. Personal data (worker, HR and payroll data) is processed by internal algorithms only and is never sent to an LLM or stored in KMod™. Header data...
KMod™ is datascalehr's AI-powered knowledge model. KMod™ suggests field mappings between HR systems and payroll systems, and learns from payroll experts who confirm or reject each suggestion. KMod™...
No. datascalehr's Service learns from the validated decisions of human experts who confirm field relationships. Client Data is processed only to deliver the Service. Every client benefits from the...
datascalehr's AI, KMod™, learns from the decisions of payroll experts in four steps. First, a file arrives and datascalehr reads the file's structure (headers, field names and data types). Second,...
datascalehr is the agentic Context Layer for global payroll data.