Greenhouse AI vs Ashby
A detailed comparison to help you choose between Greenhouse AI and Ashby.
How to choose
Neither tool has user reviews on ToolSpotter yet, so we don't pick a winner. Compare them on what they're built for: Greenhouse AI — Mid-market and enterprise companies that have committed to structured hiring and want the deepest integration ecosystem in the ATS market.; Ashby — Tech companies from startup through mid-market that hire continuously and want sourcing, ATS, scheduling and funnel analytics in one system instead of a stitched-together tool stack..
Greenhouse AI AI-powered hiring platform | Ashby Applicant tracking and recruiting platform with AI-powered sourcing | |
|---|---|---|
| Rating | 4.2 (1 review) | 4.2 (1 review) |
| Pricing Model | paid | paid |
| Starting Price | From $200/mo | From $150/mo |
| Best For | Mid-market and enterprise companies that have committed to structured hiring and want the deepest integration ecosystem in the ATS market. | Tech companies from startup through mid-market that hire continuously and want sourcing, ATS, scheduling and funnel analytics in one system instead of a stitched-together tool stack. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | team featuresssoapi access | team featuresssoapi access |
| Visit Greenhouse AI → | Visit Ashby → |
Greenhouse AI
Pros
- + Scorecards and interview kits enforce comparable feedback — in my rebuild of a pipeline, candidate comparison stopped being a note-reconciliation exercise
- + Talent Matching explains every ranking against recruiter-weighted calibrations, and I watched scores move when I changed the weights
- + 400-plus integrations and an open API make it the hub the rest of the HR stack plugs into
- + Real Talent's fraud signals (phone, email, IP, location) and CLEAR identity verification address the AI-generated-application problem head-on
- + 7,500-plus customer companies and 15 years of operation make the reference base unusually deep
Cons
- - No public pricing, no free trial, no monthly billing — every deal goes through sales on an annual contract
- - Billing scales with total company headcount, so costs rise with company size even when hiring volume is flat
- - Implementation fees and add-ons (Real Talent, sourcing automation) push all-in year-one cost well past the quote
- - AI value depends on your team's existing scorecard discipline — it cannot compensate for sloppy structured-hiring habits
- - 2025 plan renaming and PE ownership mean third-party pricing data is stale and renewal uplifts are commonly reported at 8-15%
Ashby
Pros
- + Analytics out of the box: stage conversion, source-of-hire and interviewer feedback appeared in dashboards in my test without any report configuration
- + AI features are workflow-native and editable — candidate search filters from plain-language prompts, reviewable AI outreach tokens, and talent rediscovery over past applicants
- + Credit allotments are published per tier (1,500/month Foundations, 2,500/seat/yr Plus, 12,500/seat/yr Enterprise), so AI spend is modelable before you sign
- + Recruiting-ops depth: outreach frequency policies, confidential projects, DNC company lists, audit logs in the API, SSO and SCIM at higher tiers
- + Foundations at $400/month total (up to 100 employees, 10% annual discount) is a flat, predictable entry price
Cons
- - No free tier and a $400/month floor; Plus and Enterprise pricing is quote-only based on company size, usage and commitment
- - Configuration weight is real — teams without recruiting ops should budget setup time for workflows, permissions and reporting
- - SSO costs an extra $100/month on Foundations, custom permission roles are capped at 3 on Plus, and sourcing email lookups meter at 200/month before paid batches
- - It is not an HRIS: no payroll, performance management or post-hire onboarding, so it complements rather than replaces an HR stack
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