Your pipeline holds the candidates. Cernor does the work behind the shortlist.
Keep Greenhouse as your ATS. Choose Cernor to give every application a deep review before deciding who needs more questions. It investigates important unproven claims and shows what the answers mean for your shortlist, against your agreed role requirements, called the Standard. Greenhouse Voice AI also offers adaptive interviews with reviewable scores and evidence.
No credit card required.
Start instantly with a job description and resumes. From $199 per live role, with unlimited team members and no monthly subscription.
Cernor vs Greenhouse Updated September 2026 First-party sources
Put candidate attention where new evidence matters.
Greenhouse Voice AI uses dynamic follow-ups within an interview. Cernor targets Follow-Up using the unresolved findings from the candidate’s assessment, then reads the answers against the same role criteria.
Keep the reasoning when the evidence changes.
Greenhouse publishes monthly bias audits and provides reviewable interview scores, transcripts, explanations and integrity flags. Those records give teams evidence to inspect, not just a result to accept.
Cernor connects the record across the decision: what the role required, which evidence supported each finding, what remained open, what Follow-Up returned and why the recommendation moved. If requirements change, affected findings reopen while earlier decisions keep their original context.
Ten things a hiring team wants settled before the loop starts.
Scoped to screening. Greenhouse’s pipeline, scheduling, scorecards and reporting are the system your team runs on and are not compared here.
| Question | Cernor | Greenhouse |
|---|---|---|
| Does every applicant get read? | Yes: the whole cohort against one agreed set of role requirements | AI-powered application review across the pipeline; Voice AI runs with candidates who are invited |
| Where do the criteria come from? | The hiring team authors and locks them before the first candidate is read | Criteria defined by recruiters and hiring managers; scorecards can be AI-generated |
| Who gets asked a follow-up question? | Only candidates whose record left something decision-critical unresolved | Candidates invited to a Voice AI interview |
| Where does the next question come from? | That candidate’s specific unresolved claim, with each tier depending on the answer before it | Role-relevant questions with dynamic follow-ups within the conversation |
| What happens to a polished claim the career does not support? | Fit, Evidence and Trust are judged separately, so an impressive record carrying an unsupported claim is its own finding | Responses are evaluated against the defined criteria; scores are explicitly not influenced by accent, tone, fluency, pace, personality or confidence |
| Can the answer move someone up the shortlist? | Yes: the returned path is judged against the same Standard and the recommendation moves or holds on it | The team receives the transcript, score and rationale, then decides who moves forward |
| What happens if the hiring manager changes the requirement mid-search? | The Standard versions; only affected candidates reopen, and you see who moved and who held | Not described in the current public material |
| What is audited? | The decision: the bar it was made against, what the evidence established, and what moved it | Model and interviews: monthly bias audits plus reviewable scores, transcripts and explanations |
| Does it work with our ATS? | Yes: the ATS stays the system of record; connecting one is optional to start | Greenhouse is the ATS |
| What does the hiring manager receive? | A Decision Packet: who to interview, what the evidence established, what is still open, and what moved | A structured transcript, a score and supporting rationale |
The hiring process, with AI through the whole of it.
Greenhouse combines an ATS with AI across the hiring workflow. Voice AI adds two-way interviews, dynamic follow-ups and rubric-based assessments with transcripts, explanations and integrity observations. Teams review the results and decide who moves forward.
Build the shortlist on a connected body of evidence.
Attention goes where the decision is closest
Cernor gives every applicant a serious read, then directs Follow-Up at the unresolved findings that matter to the role. Your team can see who is ready for review and who needs more evidence.
Unresolved is its own state
Where the record leaves a criterion open, Cernor preserves that uncertainty. Missing information is not evidence of missing capability. Follow-Up can investigate it without promising that every answer will resolve it.
Ask only who needs asking
A candidate whose record settles everything material is asked nothing at all. The rest get a path built around their own claim, each tier depending on the answer before it.
The history behind the recommendation
Cernor preserves how this recommendation was reached: the approved criteria, evidence findings, questions, answers and resulting change. Your team can return to the reasoning after the search has moved on.
The requirement moves in week three
When the hiring manager raises the bar mid-search, the Standard versions and only affected candidates reopen. You see who moves and who holds: with the reasons for that movement kept in view.
Hand over something usable
Who to interview, what the evidence established, what is still open and what changed: ready for your hiring team.
Keep Greenhouse. Connect Cernor.
Greenhouse
Pipeline, stages, scorecards, scheduling, reporting, and the structured first conversation where one is wanted: the system of record, unchanged.
Cernor
The deep read on the candidates already in it: what the evidence supports, what is unresolved, who is worth asking and what the answer changes.
The join
Cernor supports ATS-connected workflows. Nothing has to be integrated before you can judge whether this is worth having: the Trial takes a job description and resumes.
What buyers actually ask.
Greenhouse Voice AI already has dynamic follow-ups. What does Cernor add?
Cernor connects Follow-Up to the findings from the initial assessment. A consequential gap triggers a targeted path; returned evidence updates the finding; the recommendation shows what changed. Choose Cernor for that continuous record of the hiring decision.
How does Cernor preserve the reasoning?
The decision keeps the role criteria, evidence, open findings, Follow-Up and resulting recommendation together. Greenhouse also documents interview audit records and monthly model bias audits. In Cernor, ask to trace a changed answer or requirement through to the affected decision.
Is Cernor replacing Greenhouse?
Keep Greenhouse as your ATS. Cernor supports ATS-connected workflows and supplies the deep candidate assessment, targeted investigation and decision history. You can start with a role and resumes before connecting an ATS.
We already run Voice AI. Why add Cernor?
To put the whole candidate record to work in the decision. Cernor reads the cohort, identifies material gaps and keeps Fit, Evidence and Trust distinct. Your team receives a recommendation with the supporting reasons and remaining questions, ready for the next human conversation.
Published by Cernor, and checkable line by line.
Every Greenhouse capability described here was checked against Greenhouse’s current first-party product material and support documentation on 7 September 2026. Cernor capabilities come from the current product.
Related comparisons
- Cernor vs Ashby: what happens to an undecided criterion
- Cernor vs Lever: who the screening conversation is designed around
- Cernor vs HireVue: two kinds of governance
On where the attention goes when the pile is large: Screening hundreds of applicants without thinning the read →
Bring a shortlist backed by evidence to your next hiring meeting.
One live role, read against a bar you set first.
No credit card required.