DATA ENRICHMENT

Know where your workforce stands. See what’s coming.

Industry benchmarks and ML-driven predictions built for the complexity of enterprises.

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A national average won’t help your organization.

With thousands of employees across multiple regions, a single benchmark number is meaningless. And you can’t feasibly assess individuals at that scale. Enterprise organizations need benchmarks segmented by the dimensions that matter, and predictions that align with your structure.

Workforce Benchmarks

Peer comparison built into every analysis, segmented by industry, geography, company size, and job function. No separate data feed. No static quarterly report.

See Benchmarks Documentation

HR benchmarks

250M+ data points across turnover, hiring, promotions, retirement, and demographics. Filtered to your actual peer group, not a broad-market average.

Compensation benchmarks

2B+ compensation data points by role, level, geography, and industry. Evaluate pay competitiveness across every market you operate in.

EEOC benchmarks

Workforce composition against federal reporting categories with peer comparisons, built into the insights your team already has access to.

Predictive Models

Trained on data from 85,000+ organizations and up to 24 months of your employee history. Every prediction is explainable, governed, and scoped to each leader’s role and org structure.

See predictive models documentation

Risk of exit

Shows who is most likely to resign and why, so retention efforts target the groups and individuals that matter most.

Likelihood of promotion

Surfaces employees who are on track for advancement across business units, giving succession planning full pipeline visibility.

Likelihood of internal mobility

Predicts who is likely to move roles across the organization, so talent teams can plan for transitions before they leave gaps.

See the full picture, not just the rearview mirror.

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