hireEZ

AI-powered outbound recruiting platform that sources, matches, screens, engages, and schedules candidates on top of a customer's existing ATS.
SourcingScreeningScheduling

HireAIScore rates hireEZ 42 out of 100 (grade F, Substantial gaps) under rubric v1.0, last reviewed June 7, 2026. hireEZ ranks 57 of 86 vendors rated in Candidate sourcing AI, against a category average of 46. That score is drawn from 14 evidence items across 7 rubric criteria for hireEZ — 9 with a cited source, 5 recording that nothing was located.

Score breakdown

hireEZ, criterion by criterion

Each rubric criterion is scored out of 100 on the cited evidence, then weighted into the total.

Weighted contribution shown to the right of each bar.

  1. Article 11 Technical Documentation

    Weight 20% · avg 48

    38

    +7.6

  2. Bias Audit Transparency

    Weight 18% · avg 40

    30

    +5.4

  3. FRIA Support

    Weight 15% · avg 31

    25

    +3.8

  4. Data Governance Disclosure

    Weight 15% · avg 53

    60

    +9.0

  5. Human Oversight Design

    Weight 12% · avg 56

    58

    +7.0

  6. Post-Market Monitoring

    Weight 12% · avg 40

    38

    +4.6

  7. Customer Documentation

    Weight 8% · avg 57

    58

    +4.6

Total weighted score

41.9(rounded to 42 for display)

Category avg is the mean raw score on that criterion across the 86 Candidate sourcing AI vendors in scope of this rubric, this one included.

Strongest criterion

Data Governance Disclosure

60raw / 100

Contributes 9.0 to the total. 60 against a 53 category average.

Weakest criterion

FRIA Support

25raw / 100

Contributes 3.8 to the total. 25 against a 31 category average.

Cited evidence

The evidence behind the score

Every score is backed by at least one cited piece of evidence. Open a criterion to see what was found, when, and where.

Download diligence record

Evidence ledger

Items
14
Documentation
8
Public statement
1
Absence
5
With a source URL
9 of 14
Source hostnames
2
Fewest items
1
FRIA Support

These figures measure how thoroughly hireEZ was reviewed, not how hireEZ performed — an absence row, recording that nothing was located, is counted like any other item.

Article 11 Technical Documentation

2 items38

Bias Audit Transparency

2 items30
  • Public statementCaptured Jun 7, 2026

    Marketing blog claims 'anti-bias filters' and an 'unbiased list of top applicants' but cites no audit, methodology, or third-party verification.

    https://explore.hireez.com/blog/diversity-recruiting-tools/

  • AbsenceCaptured Jun 7, 2026

    No public material located as of 2026-06-07.

    Where we looked: No published or referenced bias audit; the ACLU LL 144 tracker has no entry for 'hireEZ' or 'Hiretual'.

    Have a URL that disputes this?

FRIA Support

1 item25
  • AbsenceCaptured Jun 7, 2026

    No public material located as of 2026-06-07.

    Where we looked: No FRIA template or EU AI Act deployer guidance located; the GDPR page mentions Art. 22 generically but provides no FRIA support.

    Have a URL that disputes this?

Data Governance Disclosure

2 items60

Human Oversight Design

2 items58
  • DocumentationCaptured Jun 7, 2026

    Applicant Review provides 'transparent insights into how candidates are ranked and why,' outputs explainable match tiers, and lets recruiters Advance or Reject any applicant regardless of the AI ranking.

    https://hireez.com/applicant-review/

  • DocumentationCaptured Jun 7, 2026

    AI phone screening produces a full transcript and summarized signals, with recruiters retaining the decision.

    https://hireez.com/ai-screening/

Post-Market Monitoring

2 items38
  • DocumentationCaptured Jun 7, 2026

    Describes ongoing third-party penetration testing (Leviathan, BishopFox), OWASP Top 10 mitigation, and continuous vulnerability monitoring via Lacework.

    https://hireez.com/solutions/security-compliance/

  • AbsenceCaptured Jun 7, 2026

    No public material located as of 2026-06-07.

    Where we looked: No public status page, model-update changelog, AI-incident channel, or continuous fairness-monitoring dashboard located.

    Have a URL that disputes this?

Customer Documentation

3 items58
  • DocumentationCaptured Jun 7, 2026

    Dedicated GDPR page enumerating eight data-subject rights, hireEZ's dual controller/processor roles, and a reference to customer DPAs.

    https://hireez.com/gdpr/

  • DocumentationCaptured Jun 7, 2026

    Dedicated CCPA page disclosing that sharing candidate data with employers is treated as a 'sale,' with an opt-out form and Global Privacy Control support.

    https://hireez.com/ccpa/

  • AbsenceCaptured Jun 7, 2026

    No public material located as of 2026-06-07.

    Where we looked: No NYC LL 144, EU AI Act, Illinois HB 3773, or Colorado SB 205 deployer/compliance guidance located.

    Have a URL that disputes this?

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.

Regulatory frame

What applies to candidate sourcing AI.

Ranking outputs are inside Annex III §4 when they influence hiring decisions. GDPR Article 22 (automated decision-making) and the GDPR rights around profiling apply independently for EU candidates.

Keep reading

All sourcing vendorsHow this score is builtAnnex IV section-by-section: what AI hiring vendors must documentWhat makes a defensible NYC LL 144 bias audit

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Ranking

Others rated in Candidate sourcing AI

Ranked 57 of 86 by weighted total under rubric v1.0. The ordering is arithmetic on the rubric and carries no view on which tool suits a given hiring process.

  1. #54Breezy HR43F
  2. #55Draup42F
  3. #56Recruitee42F
  4. #57hireEZThis profile42F
  5. #58Zoho Recruit42F
  6. #59Recruitly41F
All sourcing vendors

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.