CertAIn vs Ashby
Ashby is your system of record. CertAIn is your system of judgment.
Ashby is one of the best modern ATSes on the market — the pricing honesty and scale foundations are real. CertAIn isn't trying to replace it. We're the reasoning layer on top.
Credit where it's due
Where Ashby is stronger.
- Modern ATS built for scale. Ashby's data model, reporting surface, and developer API are the best in their class for mid-market and high-growth teams. If you need a system of record, Ashby is one of the right answers.
- Transparent pricing (by ATS standards). Published tiers, per-user pricing, no mandatory multi-year. Closest thing to a kindred spirit in this category on the pricing philosophy.
- Scheduling + analytics depth. Ashby's built-in scheduling automation and recruiting BI are more mature than most competing ATSes. If you're bouncing between Calendly, a notetaker, and a BI tool today, Ashby consolidates.
- Foundation for AI. Ashby has been thoughtful about how AI gets added to their product — their sourcing AI and match scoring are real features, not marketing.
What Ashby's AI layer isn't
Where CertAIn is stronger.
- Reasoning paragraphs, not match scores. Ashby's AI surfaces a match score. CertAIn produces a paragraph of reasoning per candidate a recruiter can read, defend to a hiring manager, and save to an audit log. Different category of output.
- The four AI actions as a workflow. Ranking, Interview Prep, AI Evaluation, Interview Analysis — a connected decision loop, not four separate features. Workflow gating (Analysis requires Eval first) keeps the quality up at volume.
- Credits, not per-seat. You pay for the AI work you run, not for seats sitting idle. For agencies billing by requisition, this maps to your P&L better than Ashby's user-based model.
- Compliance shipped standard. Bias-audit data export, candidate AI disclosure template, architectural human-oversight commitment — shipped on day one, not unlocked per enterprise contract.
- One lane, done well. Ashby is a whole recruiting platform. CertAIn is one thing: making every candidate better evaluated. Narrower scope, sharper output.
Feature matrix
Side-by-side.
| Feature | Ashby | CertAIn |
|---|---|---|
| ATS functionality | Yes (full platform) | No — integrates with yours |
| Scheduling + interview automation | Yes | No |
| Recruiting analytics / BI | Yes (deep) | Credit ledger + action log only |
| AI candidate match score | Yes | No — reasoning paragraph instead |
| AI reasoning paragraph per candidate | No | Yes |
| AI interview prep, per-candidate | Limited | Yes (resume-grounded) |
| AI evaluation (structured write-up) | No | Yes |
| AI interview analysis | No | Yes |
| Pricing model | Per user | Credit-based |
| Bias-audit data export | Not standard | Shipped, standard |
| Candidate AI disclosure template | Customer-written | Shipped, tenant-editable |
You don't choose between them
Migration path
Keep Ashby. CertAIn plugs into your ATS of record (Greenhouse is the first native integration; Ashby is on the roadmap behind it) via webhook-style flow — candidate and JD data flow into CertAIn for evaluation, reasoning paragraphs flow back as notes on the candidate record. Until the native Ashby integration lands, CSV import/export works day one and most teams start there.
When the fit is sharp
Who should consider CertAIn alongside Ashby
- You're running Ashby well and your remaining pain is the top-of-funnel triage — reading 500 candidates at depth to pick the right 20
- Your hiring managers want paragraphs of reasoning they can defend, not a score they have to trust
- Your legal or ops team is asking about AEDT, AIVIA, or EU AI Act readiness and wants a vendor with compliance as a default, not as an enterprise conversation
- You're an agency billing by requisition and per-seat pricing stops mapping to your P&L past a certain team size