Moore Cooperative provides a private, end‑to‑end compensation intelligence platform for HR and compensation teams. The solution enables salary band modeling, AI‑driven market benchmarking, pay equity monitoring, and compliance with pay‑transparency regulations, while also supporting organizational audits, mergers, and workforce transitions.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations often lack accurate, up-to-date market compensation data and struggle to design pay structures that are equitable, compliant with pay‑transparency regulations, and aligned with business changes such as mergers or workforce reductions.
Solution
Moore offers a fully private, end‑to‑end compensation intelligence platform that enables HR and compensation teams to create salary bands, benchmark salaries using AI‑driven market data, and monitor pay equity across the organization. The platform provides geography‑adjusted compensation zones and FLSA risk monitoring to ensure regulatory compliance. It supports organizational audits, facilitating the integration of new teams, the transition to transparent pay practices, and the management of mergers, acquisitions, or reductions in force. By centralizing all compensation decisions in a single secure system, Moore helps companies maintain consistent pay policies while adapting to critical growth stages.
Target Audience
Primary users are HR leaders, compensation analysts, and people‑operations teams in mid‑size to large enterprises that need to design, benchmark, and maintain compliant pay structures during periods of growth or transition.
Features
- AI‑powered market benchmarking that delivers real‑time salary data tailored to specific roles and locations
- Salary band modeling tools with built-in geography‑adjusted compensation zones
- Pay equity dashboards that track disparities and generate compliance reports for pay‑transparency laws
- FLSA risk monitoring to flag overtime and classification issues before they become violations
- Organizational audit module that maps existing structures and recommends optimal compensation changes during mergers, acquisitions, or RIFs
- Fully private, end‑to‑end data architecture ensuring that sensitive compensation information remains secure and isolated from external systems