Mercer | Mettl
HireAIScore rates Mercer | Mettl 42 out of 100 (grade F, Substantial gaps) under rubric v1.0, last reviewed June 7, 2026. Mercer | Mettl ranks 59 of 82 vendors rated in Assessment AI, against a category average of 46. That score is drawn from 14 evidence items across 7 rubric criteria for Mercer | Mettl — 9 with a cited source, 5 recording that nothing was located.
Score breakdown
Mercer | Mettl, 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.
Article 11 Technical Documentation
Weight 20% · category avg 50
38
+7.6
Bias Audit Transparency
Weight 18% · category avg 41
42
+7.6
FRIA Support
Weight 15% · category avg 31
28
+4.2
Data Governance Disclosure
Weight 15% · category avg 53
55
+8.3
Human Oversight Design
Weight 12% · category avg 55
45
+5.4
Post-Market Monitoring
Weight 12% · category avg 38
38
+4.6
Customer Documentation
Weight 8% · category avg 58
52
+4.2
Total weighted score
41.7(rounded to 42 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
Data Governance Disclosure
55raw / 100
Contributes 8.3 to the total. 55 against a 53 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 recordEvidence ledger
- Items
- 14
- Documentation
- 7
- Public statement
- 2
- Absence
- 5
- With a source URL
- 9 of 14
- Source hostnames
- 3
- Fewest items
- 1
- Bias Audit Transparency
These figures measure how thoroughly Mercer | Mettl was reviewed, not how Mercer | Mettl performed — an absence row, recording that nothing was located, is counted like any other item.
Article 11 Technical Documentation
3 items38
- DocumentationCaptured Jun 7, 2026
Blog/methodology page states Mettl assessments adhere to SIOP and EEOC personnel-selection guidelines and reports validity (convergent) of 0.4-0.67 and reliability of 0.63-0.73, but offers no AI model card or explainability documentation.
https://blog.mettl.com/psychometric-property-reliability-validity/
- DocumentationCaptured Jun 7, 2026
Security-features page lists ISO 27001:2013, ISO 9001:2015, SOC 2 Type 2 and GDPR but contains no AI-specific technical documentation or ISO 42001.
- AbsenceCaptured Jun 7, 2026
No model card, system card, or AI explainability statement for the proctoring/scoring algorithms was found on mettl.com product, security, or blog pages.
Bias Audit Transparency
1 item42
- AbsenceCaptured Jun 7, 2026
No independent NYC LL 144 bias audit (auditor, date, impact ratios) was found on mettl.com or in the ACLU LL144 audit tracker; only internal adverse-impact assertions exist.
FRIA Support
2 items28
- Public statementCaptured Jun 7, 2026
Parent company Mercer publishes general EU AI Act guidance for HR (avoid black-box tools, set up AI governance) but does not mention FRIA, Article 27, or provide a deployer template for the Mettl product.
- AbsenceCaptured Jun 7, 2026
No FRIA template or Article 27 deployer-obligation guidance was found on mettl.com or in Mercer | Mettl product/compliance materials.
Data Governance Disclosure
2 items55
- DocumentationCaptured Jun 7, 2026
Security page details AWS hosting with localized servers in Europe/China/India, 256-bit SSL/TLS encryption, least-privilege access, MFA (RFC 6238), annual penetration testing, and a 'never barter or sell information' commitment.
- DocumentationCaptured Jun 7, 2026
Information-security client page states clients can request deletion of all data after contract termination/expiry and describes annual third-party penetration and vulnerability testing plus daily WhiteHat scanning.
Human Oversight Design
2 items45
- DocumentationCaptured Jun 7, 2026
Proctoring page describes an AI-based proctoring suite (SecureProctor, Mettl Secure Browser) but provides no detail on human-in-the-loop review, override controls, or explainability of AI flags.
- Public statementCaptured Jun 7, 2026
Mettl positions itself as a data processor acting on client (controller) instructions, implying human/client control over decisions, but without documented in-product oversight or override mechanisms.
Post-Market Monitoring
2 items38
- DocumentationCaptured Jun 7, 2026
Page describes a robust incident-management program, annual third-party penetration/vulnerability testing, and daily WhiteHat scanning, and provides a privacy contact email (mettl_privacy_mettl@mercer.com) but no public status page or vulnerability-disclosure program.
- AbsenceCaptured Jun 7, 2026
No public status/uptime page, model-update changelog, or dedicated security.txt/vulnerability-disclosure channel was found for Mercer | Mettl.
Customer Documentation
2 items52
- DocumentationCaptured Jun 7, 2026
Comprehensive security and compliance features page acts as customer-facing trust documentation covering certifications, encryption, and data handling.
- AbsenceCaptured Jun 7, 2026
No dedicated NYC LL 144 or EU AI Act deployer-compliance guidance or publicly posted DPA was found on mettl.com.
Editorial notes
Company overview
Mercer | Mettl is an online assessment and remote-proctoring platform founded in 2010 by Ketan Kapoor and Tonmoy Shingal in Gurgaon, India, and acquired by Mercer (part of Marsh McLennan) in October 2018. It provides a large library of psychometric, aptitude, coding, and behavioral assessments, structured and video interviews, and an AI-assisted proctoring suite (SecureProctor, Mettl Secure Browser) that uses webcam, audio, and screen monitoring to flag suspicious activity. The platform serves roughly 2,000 enterprise clients across 80+ countries for hiring, certification, and learning and development.
Regulatory exposure
As an assessment and AI-proctoring vendor scoring and screening candidates, Mercer | Mettl supplies tools that are likely high-risk AEDTs under NYC Local Law 144 and high-risk AI under the EU AI Act, and are in scope for Illinois and Colorado AI-hiring rules. The company publishes a solid information-security and GDPR posture (ISO 27001:2013, ISO 9001:2015, SOC 2 Type 2) and self-reported psychometric fairness claims (adverse-impact testing by age/gender/ethnicity, SIOP/EEOC/APA alignment), but no independent, downloadable NYC LL 144 bias audit, no ISO 42001 AI management certification, no FRIA or Art. 27 deployer guidance, and only general parent-company EU AI Act thought leadership rather than product-specific compliance documentation. Deployers therefore carry most of the public-disclosure and audit burden.
Path to a higher score
Mercer | Mettl could materially raise its score by commissioning and publicly posting an independent, downloadable NYC LL 144-style bias audit (auditor, date, intersectional impact ratios) and renewing it annually; publishing a model/system card or technical pack with an explainability statement for its proctoring and scoring AI; pursuing ISO 42001; releasing explicit EU AI Act deployer guidance and a FRIA template; documenting in-product human-oversight, override, and audit-log controls; and standing up a public status page and security/vulnerability-disclosure channel.
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.
Compare
Mercer | Mettl against its nearest-scoring peers.
The closest scores in Assessment AI, side by side.
- Side-by-sideMercer | Mettl vs Talview42F
- Side-by-sideMercer | Mettl vs Coderbyte42F
- Side-by-sideMercer | Mettl vs Talogy42F
- Side-by-sideMercer | Mettl vs Tengai42F
Ranking
Others rated in Assessment AI
Ranked 59 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.
- #56Coderbyte42F
- #57Talogy42F
- #58Tengai42F
- #59Mercer | MettlThis profile42F
- #60Zoho Recruit42F
- #61CoderPad42F
Conflicts of interest
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Casework has no commercial relationship with this vendor.