# Radford alternatives: what AI models name instead, September 2026

HR AI Recommendation Index, September 2026 Edition. 186 of the 216 answers in the 1 category where Radford holds a standing named it neither first nor as an alternative; these are the first choices those answers made. Page: https://hr-ai-index.com/vendors/radford/alternatives/

## Named instead, most often (every category and segment added)

- Pave: 32
- Payscale: 15
- Mercer: 10
- Deloitte: 7
- Comprehensive.io: 6
- Bureau of Labor Statistics: 4

## Compensation benchmarking data

**Small business**: 72 of 72 answers did not name Radford (Radford is #10 of 10 at 0%).

- Pave: first choice in 19 of those 72
- Bureau of Labor Statistics: first choice in 4 of those 72
- Payscale: first choice in 4 of those 72
- Databox: first choice in 3 of those 72
- Salary.com: first choice in 3 of those 72
- Salary.com CompAnalyst: first choice in 3 of those 72
- Bureau of Labor Statistics (BLS) Occupational Employment and Wage Statistics: first choice in 2 of those 72
- Ravio: first choice in 2 of those 72

**Mid-market**: 61 of 72 answers did not name Radford (Radford is #5 of 8 at 4%).

- Pave: first choice in 9 of those 61
- Payscale: first choice in 9 of those 61
- Comprehensive.io: first choice in 6 of those 61
- Mercer: first choice in 3 of those 61
- Deloitte: first choice in 2 of those 61
- Aon Radford: first choice in 1 of those 61
- BLS OEWS: first choice in 1 of those 61
- BLS Occupational Employment and Wage Statistics: first choice in 1 of those 61

**Enterprise**: 53 of 72 answers did not name Radford (Radford is #2 of 10 at 16%).

- Mercer: first choice in 7 of those 53
- Deloitte: first choice in 5 of those 53
- Pave: first choice in 4 of those 53
- Willis Towers Watson: first choice in 3 of those 53
- Aon's Radford McLagan Compensation Database: first choice in 2 of those 53
- Deloitte Consulting: first choice in 2 of those 53
- Gartner: first choice in 2 of those 53
- Payscale: first choice in 2 of those 53

Published under CC BY 4.0. The output is the models' output; nothing here is a recommendation by the index.