Vervoe
AI-powered skills-assessment platform that grades and ranks candidates on performance in role-specific, task-based assessments.
§ 01 — Score breakdown
§ Score breakdown
Category scoring
Weighted contribution shown to the right of each bar.
- 01
Article 11 Technical Documentation
Weight 20%45
+9.0
- 02
Bias Audit Transparency
Weight 18%52
+9.4
- 03
FRIA Support
Weight 15%25
+3.8
- 04
Data Governance Disclosure
Weight 15%55
+8.3
- 05
Human Oversight Design
Weight 12%60
+7.2
- 06
Post-Market Monitoring
Weight 12%28
+3.4
- 07
Customer Documentation
Weight 8%58
+4.6
§ 02 — Strongest · weakest
Strongest category
Bias Audit Transparency
Raw score 52 · contributes 9.4 to total.
Weakest category
Post-Market Monitoring
Raw score 28 · contributes 3.4 to total.
§ 03 — Cited evidence
§ Evidence
Cited per category
Every score is backed by at least one cited piece of evidence.
§ 04 — Editorial notes
Company overview
Vervoe is a skills-based hiring platform, founded in Melbourne in 2016, that replaces resume screening with role-specific assessments graded by machine learning. Candidates complete realistic job tasks — written answers, coding challenges, spreadsheet work, video and audio responses, presentations — and a set of AI models scores and ranks them against benchmarked responses. The company markets explainability ("every score links back to the evidence that produced it") and merit-based evaluation that strips out name, background, and alma mater.
Regulatory exposure
Vervoe's automated scoring of candidates is an Automated Employment Decision Tool under NYC Local Law 144 and a high-risk AI system under the EU AI Act when used for hiring decisions. Vervoe has responded directly to the NYC obligation: it commissioned an independent bias audit from Holistic AI, publishes the results on a dedicated page, and frames the audit as ongoing. The conspicuous gaps are EU AI Act deployer support (no Article 27 FRIA materials), no published technical/model documentation or ISO 42001, and no public post-market monitoring surface.
Path to a higher score
The most credible wins are: making the Holistic AI bias audit downloadable as a dated report with the impact-ratio tables and re-auditing it on a published annual cadence; publishing a system/model card and an explainability statement and pursuing ISO 42001 to complement the existing ISO 27001; shipping EU AI Act deployer guidance and a FRIA template; and standing up a public status page and a security/vulnerability-disclosure contact.
Conflicts of interest
No vendor pays for placement, scoring, or removal. Casework — the consulting firm that operates this directory — provides paid services to some vendors. Any active or recent (within 24 months) commercial relationship is disclosed on the affected vendor profile and the review is reassigned to an independent reviewer. See the full policy on About.
Casework has no commercial relationship with this vendor.