# Pave: how AI models rank it, September 2026

HR AI Recommendation Index, September 2026 Edition. Named in 103 judge labels across 3 categories by 12 of 12 models. Page: https://hr-ai-index.com/vendors/pave/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Compensation benchmarking data | 20% | 2 | 0% | 25 |
| Compensation management | 18% | 1 | 3% | 66 |
| Pay equity | 10% | 4 | 0% | 12 |

## What the models said for it

- "Use modern, integration-based salary benchmarking software that pulls live, anonymized data directly from HR and payroll systems (e.g., Pave, Ravio, or Figures)" (Gemini 3.5 Flash, Compensation benchmarkin)
- "Pave disrupted this by integrating directly with companies' HRIS, ATS, and cap tables to offer real-time, crowdsourced salary and equity benchmarking" (Gemini 3.5 Flash, Compensation management)
- "Start with Pave's free Market Data Lite (if you're under 200 employees) — it's the most accessible, current, and comprehensive free option." (DeepSeek V4 Flash, Compensation benchmarkin)
- "Pave: Excellent if you want built-in, real-time market benchmarking data, tech-forward integrations, and polished total rewards templates." (Gemini 3.5 Flash, Compensation management)

## And against it

- "Note: benchmark-first, so execution is lighter." (DeepSeek V4 Flash, Compensation management)
- "or the equity focus of tools like Pave" (Mistral Small, Compensation management)

## Record

- Method: https://hr-ai-index.com/methodology/
- Raw judge labels and full responses: https://hr-ai-index.com/data/
- License: CC BY 4.0. Cite as HR AI Recommendation Index, September 2026 Edition, hr-ai-index.com.