Plum

Plum is a pre-employment talent assessment platform that uses a Five-Factor (Big Five) psychometric Discovery Survey and a Talent Match model to score and rank candidates on behavioral "durable skills" for role fit, hiring, and development.
AssessmentScreening

HireAIScore rates Plum 54 out of 100 (grade F, Substantial gaps) under rubric v1.0, last reviewed June 7, 2026. Plum ranks 13 of 82 vendors rated in Assessment AI, against a category average of 46. That score is drawn from 19 evidence items across 7 rubric criteria for Plum — 15 with a cited source, 4 recording that nothing was located.

Score breakdown

Plum, 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 50

    58

    +11.6

  2. Bias Audit Transparency

    Weight 18% · avg 41

    83

    +14.9

  3. FRIA Support

    Weight 15% · avg 31

    28

    +4.2

  4. Data Governance Disclosure

    Weight 15% · avg 53

    54

    +8.1

  5. Human Oversight Design

    Weight 12% · avg 55

    52

    +6.2

  6. Post-Market Monitoring

    Weight 12% · avg 38

    36

    +4.3

  7. Customer Documentation

    Weight 8% · avg 58

    63

    +5.0

Total weighted score

54.4(rounded to 54 for display)

Category avg is the mean raw score on that criterion across the 82 Assessment AI vendors in scope of this rubric, this one included.

Strongest criterion

Bias Audit Transparency

83raw / 100

Contributes 14.9 to the total. 83 against a 41 category average.

Weakest criterion

FRIA Support

28raw / 100

Contributes 4.2 to the total. 28 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
19
Documentation
12
Audit report
3
Absence
4
With a source URL
15 of 19
Source hostnames
2
Fewest items
1
FRIA Support

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

Article 11 Technical Documentation

3 items58
  • DocumentationCaptured Jun 7, 2026

    Plum Science page documents the Five-Factor (Big Five) basis, forced-choice design, and references reliability and validity testing of the Discovery Survey.

    https://www.plum.io/plum-science

  • DocumentationCaptured Jun 7, 2026

    Trust Center lists a 'Technical Manual for Plum Assessment methodology' and a 'How Plum Uses and Controls Artificial Intelligence' policy, but these documents are gated behind an access-request form.

    https://www.plum.io/trust-center

  • DocumentationCaptured Jun 7, 2026

    The FairNow audit includes a detailed system description of the Talent Match model (inputs, scoring 30-99, Talents derived from the Five-Factor Model) functioning as partial technical documentation.

    https://use.plum.io/hubfs/Resources/Audit/2024-2025/Plum-Talent-Match-bias-audit-nov-2024.pdf

Bias Audit Transparency

3 items83

FRIA Support

1 item28
  • AbsenceCaptured Jun 7, 2026

    No Article 27 Fundamental Rights Impact Assessment template or EU AI Act deployer guidance was found on the Plum site, Trust Center (plum.io/trust-center), help center, or in either published bias audit, which address NYC Local Law 144 only.

    Have a URL that disputes this?

Data Governance Disclosure

3 items54
  • DocumentationCaptured Jun 7, 2026

    Privacy policy details data collected, retention periods (e.g. 12-24 months), subprocessors (AWS, Google, HubSpot, LinkedIn, ZoomInfo), GDPR rights, US data residency with standard contractual clauses, and a privacy@plum.io contact.

    https://www.plum.io/privacy

  • DocumentationCaptured Jun 7, 2026

    Trust Center lists Data Processing Agreements (GDPR and third-country), a current subprocessor list, Security Control Guidelines, and penetration-test archives for 2023, 2024, and 2025, though most are gated behind an access request.

    https://www.plum.io/trust-center

  • AbsenceCaptured Jun 7, 2026

    No Plum-held SOC 2 Type 2 or ISO 27001/ISO 42001 certificate is publicly visible on the Trust Center; security relies on AWS infrastructure certifications and parent Phenom's ISO 27001, and no detailed training-data exclusion list is published.

    Have a URL that disputes this?

Human Oversight Design

3 items52
  • Audit reportCaptured Jun 7, 2026

    Audit states all candidates are shown to the recruiter ranked by match score and that scores 'can be used to influence whether an employer decides to move a job seeker forward,' indicating human-in-the-loop decision support rather than automated rejection.

    https://use.plum.io/hubfs/Resources/Audit/2024-2025/Plum-Talent-Match-bias-audit-nov-2024.pdf

  • DocumentationCaptured Jun 7, 2026

    Product page describes Plum generating Match Scores and auto-generated Structured Interview Guides for recruiters, framing Plum as decision support that reduces 'gut-feel' bias while humans conduct interviews and decide.

    https://www.plum.io/talent-acquisition

  • AbsenceCaptured Jun 7, 2026

    No public documentation of concrete override controls, per-jurisdiction toggles, audit logs, or in-product candidate-facing explainability beyond the Plum Profile report.

    Have a URL that disputes this?

Post-Market Monitoring

3 items36
  • DocumentationCaptured Jun 7, 2026

    Trust Center publishes penetration-test archives for 2023, 2024, and 2025 and a Business Continuity / Disaster Recovery summary, showing a recurring security-testing cadence.

    https://www.plum.io/trust-center

  • DocumentationCaptured Jun 7, 2026

    Privacy policy provides a privacy@plum.io contact and physical address, but no breach-notification protocol, public status page, or model-update changelog is detailed.

    https://www.plum.io/privacy

  • AbsenceCaptured Jun 7, 2026

    No public system status page, incident-disclosure channel, continuous-monitoring dashboard, model-update changelog, or dedicated security.txt/security contact was found for plum.io.

    Have a URL that disputes this?

Customer Documentation

3 items63
  • DocumentationCaptured Jun 7, 2026

    Detailed public product pages (talent acquisition, high-volume early-career hiring, RPO/finance/logistics variants) describe the assessment, Match Score, Role Model, and interview guides.

    https://www.plum.io/talent-acquisition

  • DocumentationCaptured Jun 7, 2026

    Trust Center centralizes privacy notices, Master Service Agreement, GDPR and third-country DPAs, an AI control policy, and an audits-and-compliance section covering bias assessment.

    https://www.plum.io/trust-center

  • DocumentationCaptured Jun 7, 2026

    Public blog and help-center content explain bias audits, NYC Local Law 144, and Plum's assessment science for deployers and candidates.

    https://www.plum.io/blog/role-of-bias-audits-in-talent-assessments

Editorial notes

Company overview

Plum (Plum.io Inc.), founded in Kitchener, Ontario in 2012 (formerly Cream.HR) and acquired by Philadelphia-based Phenom in an acquisition announced April 28, 2026, is a talent-assessment platform built on industrial/organizational psychology and the Five-Factor (Big Five) personality model. Candidates complete the ~20-25 minute Plum Discovery Survey measuring personality, problem-solving, and social intelligence; employers define role requirements via a Match Criteria Survey, and Plum's Talent Match model outputs a 30-99 Match Score that ranks candidates by fit. Plum positions itself as predicting job performance 'four times better than a resume' and serves enterprise customers including Scotiabank, Whirlpool, and Intact Financial across 176 countries and 20 languages.

Regulatory exposure

As an assessment that scores and ranks candidates to influence whether they advance, Plum's Talent Match model is squarely an Automated Employment Decision Tool under NYC Local Law 144 and would likely be a high-risk AI system under Annex III of the EU AI Act when deployed in EU hiring. Plum's strongest signal is bias auditing: it has published two consecutive years of independent, downloadable NYC LL144 bias audits (Holistic AI for 2022-2023, FairNow for 2024-2025), both finding no adverse impact across gender, race, and intersectional groups on large samples. Gaps remain on the EU side: no public Article 27 FRIA template or deployer-obligation guidance, no ISO 42001, and no Plum-held SOC 2/ISO 27001 certificate is publicly visible (parent Phenom holds ISO 27001:2013; Plum inherits AWS infrastructure certifications).

Path to a higher score

Plum already clears the highest anchor on bias-audit transparency; to raise the rest it should publish its gated 'How Plum Uses and Controls AI' policy, Technical Manual, and an explicit human-oversight/explainability statement openly rather than behind a Trust Center access form, and add EU AI Act deployer guidance with an Article 27 FRIA template. Obtaining and publicly disclosing a Plum-specific SOC 2 Type 2 / ISO 27001 (or ISO 42001) certificate, and standing up a public status page, model-update changelog, and named security/incident contact, would lift its data-governance, technical-documentation, and post-market-monitoring scores.

Regulatory frame

What applies to assessment AI.

Assessment is the most-regulated surface in AI hiring. NYC LL 144, EEOC and OFCCP frameworks, Illinois HB 3773, and EU AI Act Annex III §4 all apply, with overlap on bias-audit obligations.

Keep reading

All assessment 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 Assessment AI

Ranked 13 of 82 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. #10iMocha56F
  2. #11Pymetrics (Harver Games)56F
  3. #12HackerRank55F
  4. #13PlumThis profile54F
  5. #14Metaview54F
  6. #15Codility54F
All assessment vendors

Conflicts of interest

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Casework has no commercial relationship with this vendor.