Data-driven comp decisions for every role
Comp decisions rely on outdated salary surveys and gut feel. Managers lack visibility into market rates, internal equity, and how skills and tasks should influence pay. The result is inconsistent offers, pay gaps, and losing top talent to better-paying competitors.
An AI agent that synthesizes real-time market data, historical compensation trends, skill premiums, and task complexity to deliver precise pay recommendations – ensuring every offer is competitive, equitable, and defensible.
2.4M skill nodes and 18.7M relationships mapping people, jobs, and skills across your organization.
Vector-based semantic search finds the right people through meaning, not keywords.
14 specialized tools for matching, predicting, and acting on workforce data.
Connects people to roles, learning, and mentors based on skills and goals.
Policy enforcement, approval workflows, and audit trails for every AI action.
Measurable Impact
Internal pay data from your HCM, external market benchmarks from aggregated data across 700+ enterprises, skill premium analysis, role complexity scoring, and internal equity calculations.
The agent runs equity analysis across gender, ethnicity, and other dimensions for every compensation recommendation. It flags statistical disparities and generates adjustment proposals proactively.
Yes. The agent considers base pay, bonus structures, equity grants, benefits value, and non-monetary compensation when positioning an offer against market and internal benchmarks.
Market benchmarks are continuously updated from anonymized, aggregated data across the Gloat network. Unlike annual salary surveys, this data reflects real-time market movement.
Yes. A manager can ask about competitive compensation for a specific role and get a recommended range with market positioning, internal equity analysis, and total comp modeling – in minutes rather than waiting for HR to run the analysis.
See how the Pay and Compensation Agent eliminates guesswork from your compensation strategy.