AROS vs. Ashby
AROS vs Ashby — two modern ATS platforms with different bets on what matters most: recruiter efficiency or decision quality.
At a glance
| Feature | AROS | Ashby |
|---|---|---|
| Primary emphasis | Decision quality — every hire and every pass ends with a Decision Packet. | Recruiter efficiency and analytics for larger, structured teams. |
| Written decision record for every outcome | Yes. | Not a native concept; captured indirectly via scorecards and comments. |
| Category evaluation | Three buckets that invite real thinking about fit. | Numeric scorecards are standard. |
| Candidate communication | Drafted and surfaced as part of the workflow. | Available; often used through templates. |
| Best for | Any business that wants enterprise-quality decision structure without enterprise complexity. | Engineering-focused and later-stage teams optimising recruiter throughput. |
Comparison is based on publicly documented product capabilities as of February 2026. If anything on this page is out of date, please email hello@getaros.ai and we’ll fix it.
When AROS is the right fit
You want the applicant tracking system (ATS) to help you make better decisions, not just make them faster. You want a written record for every hire and every pass, so the reasoning is visible six months later. You care about candidate communication being part of the workflow rather than a separate task on your list.
When Ashby might be the right fit
You lead a mature recruiting function — often engineering-heavy — and your bottleneck is recruiter throughput and analytics rather than the quality or clarity of individual decisions. Ashby is designed for that context.
