hireEZ
AI-powered outbound recruiting platform that sources, matches, screens, engages, and schedules candidates on top of a customer's existing ATS.
§ 01 — Score breakdown
§ Score breakdown
Category scoring
Weighted contribution shown to the right of each bar.
- 01
Article 11 Technical Documentation
Weight 20%38
+7.6
- 02
Bias Audit Transparency
Weight 18%30
+5.4
- 03
FRIA Support
Weight 15%25
+3.8
- 04
Data Governance Disclosure
Weight 15%60
+9.0
- 05
Human Oversight Design
Weight 12%58
+7.0
- 06
Post-Market Monitoring
Weight 12%38
+4.6
- 07
Customer Documentation
Weight 8%58
+4.6
§ 02 — Strongest · weakest
Strongest category
Data Governance Disclosure
Raw score 60 · contributes 9.0 to total.
Weakest category
FRIA Support
Raw score 25 · contributes 3.8 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
hireEZ (legally HireTeamMate, Inc., formerly Hiretual) is a Mountain View–based recruiting platform founded in 2015 that bills itself as an "agentic AI" layer sitting on top of a customer's existing ATS. Its core is outbound talent sourcing — searching a proprietary database built from public web sources of 1B+ profiles — extended by applicant matching/ranking, AI phone screening, automated outreach, and interview scheduling. It maintains a substantial security posture (SOC 2 Type 2, ISO 27001, ISO 27701, GDPR, CCPA).
Regulatory exposure
As primarily a sourcing tool, hireEZ sits slightly differently under NYC Local Law 144 and the EU AI Act than a pure scoring/assessment vendor: LL 144's bias-audit duty attaches to tools that substantially assist or replace a hiring decision, and passive sourcing generally falls outside that trigger. However, its adjacent features — Applicant Match (which ranks inbound resumes with "explainable AI scoring") and AI phone screening with job-fit analysis — push it toward AEDT/Annex-III-high-risk territory. Because the same vendor also builds a talent database from scraped public profiles, it carries meaningful GDPR exposure, which it addresses on its GDPR and CCPA pages, but it offers no jurisdiction-specific deployer guidance.
Path to a higher score
hireEZ's strongest assets are data governance and product-level explainability; its biggest gaps are AI-specific assurance. The clearest wins: commission and publicly publish an independent bias audit of Applicant Match and AI screening, pursue ISO 42001, and publish a model/system card describing the matching model, training data, and known limitations. It should also issue explicit deployer-obligation guidance (LL 144 notices, EU AI Act Art. 26/27 duties, Illinois/Colorado notice rules) and surface a public AI ethics policy and post-market monitoring channel.
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.