TestGorilla
HireAIScore rates TestGorilla 47 out of 100 (grade F, Substantial gaps) under rubric v1.0, last reviewed June 7, 2026. TestGorilla ranks 37 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 TestGorilla — 14 with a cited source, 5 recording that nothing was located.
Score breakdown
TestGorilla, 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
52
+10.4
Bias Audit Transparency
Weight 18% · category avg 41
38
+6.8
FRIA Support
Weight 15% · category avg 31
30
+4.5
Data Governance Disclosure
Weight 15% · category avg 53
56
+8.4
Human Oversight Design
Weight 12% · category avg 55
60
+7.2
Post-Market Monitoring
Weight 12% · category avg 38
38
+4.6
Customer Documentation
Weight 8% · category avg 58
58
+4.6
Total weighted score
46.5(rounded to 47 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
Human Oversight Design
60raw / 100
Contributes 7.2 to the total. 60 against a 55 category average.
Weakest criterion
FRIA Support
30raw / 100
Contributes 4.5 to the total. 30 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
- 19
- Documentation
- 10
- Public statement
- 4
- Absence
- 5
- With a source URL
- 14 of 19
- Source hostnames
- 2
- Fewest items
- 2
- FRIA Support
These figures measure how thoroughly TestGorilla was reviewed, not how TestGorilla performed — an absence row, recording that nothing was located, is counted like any other item.
Article 11 Technical Documentation
3 items52
- DocumentationCaptured Jun 7, 2026
TestGorilla's AI page sets out six responsible-AI principles (human-in-the-loop, fairness, transparency, privacy by default) and states it is 'actively preparing for evolving frameworks like the EU AI Act.'
- DocumentationCaptured Jun 7, 2026
The science page describes its validation methodology and explicitly aligns with UGESP, the SIOP Principles, and the AERA/APA Standards, but offers no downloadable Annex IV technical documentation.
- AbsenceCaptured Jun 7, 2026
No system/model card, instructions-for-use, ISO 42001, or formal Article 11/Annex IV technical pack was found on testgorilla.com/ai, /science, the Trust Center, or the security-measures page.
Bias Audit Transparency
3 items38
- Public statementCaptured Jun 7, 2026
TestGorilla states AI scoring is 'benchmarked against expert ratings and continually monitored' and that all scoring tools are tested for adverse impact, citing up to '45% fairer treatment' for women and minority candidates.
- DocumentationCaptured Jun 7, 2026
An educational blog post explains adverse impact under EEOC/UGESP but discloses no TestGorilla audit results, frequency, or third-party auditor.
https://www.testgorilla.com/blog/understanding-adverse-impact/
- AbsenceCaptured Jun 7, 2026
No independent or NYC LL 144 third-party bias audit (BABL AI, DCI, ORCAA, Warden AI, Holistic AI) was found published on the AI page, science page, Trust Center, or in search of testgorilla.com.
FRIA Support
2 items30
- Public statementCaptured Jun 7, 2026
TestGorilla says it is 'actively preparing for evolving frameworks like the EU AI Act' but provides no FRIA template or deployer guidance.
- AbsenceCaptured Jun 7, 2026
No EU AI Act Article 27 Fundamental Rights Impact Assessment template or deployer-obligation guidance was found on the AI page, DPA, or security-measures page; the DPA contains no AI Act deployer clauses.
Data Governance Disclosure
3 items56
- DocumentationCaptured Jun 7, 2026
The security-measures page details AES-256 encryption at rest, TLS 1.2 in transit, logical data segregation between customers, third-party penetration testing, and SOC 2.
- DocumentationCaptured Jun 7, 2026
The publicly available DPA (v3.0, May 2026) specifies SCCs for transfers, a referenced subprocessor list, and that customer data is not used to train models and is sent to LLMs under zero-data-retention terms.
- Public statementCaptured Jun 7, 2026
TestGorilla states it 'never train[s] our AI on customer data, and no personal data is sent to LLMs,' and uses in-house NLP models for scoring.
Human Oversight Design
2 items60
- DocumentationCaptured Jun 7, 2026
TestGorilla states its AI 'never makes decisions for you,' every suggestion is fully editable, features are optional, and video interviews are scored on transcripts only - never facial cues or emotional expression.
- Public statementCaptured Jun 7, 2026
The Oct 2025 AI video interview launch states the AI provides a 0-5 score with a clear rationale and that recruiters can review recordings/transcripts and edit or override any score.
https://www.testgorilla.com/blog/testgorilla-launches-ai-video-interviews/
Post-Market Monitoring
3 items38
- DocumentationCaptured Jun 7, 2026
TestGorilla operates a public status page showing 90-day uptime and incident history with email/Slack/Teams/webhook/RSS subscription options.
- DocumentationCaptured Jun 7, 2026
The security-measures page describes intrusion detection, third-party penetration testing, and risk-based monitoring, but no public AI model-update changelog or continuous fairness dashboard.
- AbsenceCaptured Jun 7, 2026
No public AI model-update changelog, continuous bias-monitoring dashboard, or published vulnerability-disclosure/security.txt contact was found on TestGorilla's site.
Customer Documentation
3 items58
- DocumentationCaptured Jun 7, 2026
Public, detailed AI product and responsible-AI pages describe each AI feature, its safeguards, and candidate transparency.
- DocumentationCaptured Jun 7, 2026
A publicly accessible customer DPA (v3.0) and a referenced subprocessor list are available without gating.
- AbsenceCaptured Jun 7, 2026
No NYC Local Law 144 deployer/compliance guidance or EU AI Act deployer documentation was found among TestGorilla's customer-facing resources.
Editorial notes
Company overview
TestGorilla B.V., founded in 2019 by Wouter Durville and Otto Verhage and headquartered in Amsterdam, Netherlands, sells a cloud-based pre-employment assessment platform built around a large test library and skills-based hiring methodology. It has raised roughly $80M+ from investors including Atomico and Balderton. Beyond its core test library, the product now layers AI features on top of human-validated content: AI job/assessment building, resume scoring, candidate sourcing across its tested-talent pool, and AI video interviews (one-way and conversational) launched in October 2025. Test content and scoring rubrics are developed by an in-house Science and IP team that includes PhDs in industrial-organizational psychology and psychometrics.
Regulatory exposure
As an Amsterdam-based provider whose AI scores and ranks job candidates, TestGorilla is squarely exposed to the EU AI Act's high-risk employment regime (Annex III) and, when its AI scoring substantially assists employment decisions for NYC candidates, to NYC Local Law 144's AEDT bias-audit and notice requirements, plus emerging Illinois and Colorado AI rules. TestGorilla publicly states it is 'actively preparing for evolving frameworks like the EU AI Act' and aligns its assessment science with the EEOC's Uniform Guidelines (UGESP), the SIOP Principles, and the AERA/APA Standards. However, it publishes no Article 11-style technical/system documentation, no FRIA or deployer guidance, and crucially no independent third-party bias audit - its fairness claims rest on internal adverse-impact testing benchmarked against human reviewers rather than a publicly downloadable NYC LL 144 audit.
Path to a higher score
The single highest-leverage move is commissioning and publicly posting an independent, third-party bias audit (e.g., a NYC LL 144 audit by BABL AI, Holistic AI, Warden AI, or DCI) with auditor name, date, and intersectional results - replacing self-attested internal testing. Next, publish AI system/model cards and an explainability statement for resume scoring and AI video interviews (Article 11 / Annex IV style), pursue ISO 42001, and add an EU AI Act deployer-obligation/FRIA guidance pack and explicit NYC LL 144 customer guidance to the Trust Center. Surfacing a public model-update changelog and a vulnerability-disclosure/security contact alongside the existing status page would round out post-market monitoring.
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
TestGorilla against its nearest-scoring peers.
The closest scores in Assessment AI, side by side.
- Side-by-sideTestGorilla vs Crosschq47F
- Side-by-sideTestGorilla vs Hogan Assessments47F
- Side-by-sideTestGorilla vs Gloat47F
- Side-by-sideTestGorilla vs Interviewer.AI47F
Ranking
Others rated in Assessment AI
Ranked 37 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.
- #34Gloat47F
- #35Interviewer.AI47F
- #36Knockri47F
- #37TestGorillaThis profile47F
- #38365Talents46F
- #39HackerEarth46F
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.