Alooba
HireAIScore rates Alooba 38 out of 100 (grade F, Substantial gaps) under rubric v1.0, last reviewed September 25, 2026. Alooba ranks 70 of 82 vendors rated in Assessment AI, against a category average of 46. That score is drawn from 34 evidence items across 7 rubric criteria for Alooba — 28 with a cited source, 6 recording that nothing was located.
Score breakdown
Alooba, 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
40
+8.0
Bias Audit Transparency
Weight 18% · category avg 41
22
+4.0
FRIA Support
Weight 15% · category avg 31
28
+4.2
Data Governance Disclosure
Weight 15% · category avg 53
45
+6.8
Human Oversight Design
Weight 12% · category avg 55
55
+6.6
Post-Market Monitoring
Weight 12% · category avg 38
36
+4.3
Customer Documentation
Weight 8% · category avg 58
58
+4.6
Total weighted score
38.5(rounded to 38 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
Customer Documentation
58raw / 100
Contributes 4.6 to the total. 58 against a 58 category average.
Weakest criterion
Bias Audit Transparency
22raw / 100
Contributes 4.0 to the total. 22 against a 41 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
- 34
- Documentation
- 19
- Public statement
- 8
- Product feature
- 1
- Absence
- 6
- With a source URL
- 28 of 34
- Source hostnames
- 4
- Fewest items
- 2
- FRIA Support
These figures measure how thoroughly Alooba was reviewed, not how Alooba performed — an absence row, recording that nothing was located, is counted like any other item.
Article 11 Technical Documentation
6 items40
- DocumentationCaptured Sep 25, 2026
Help article says SQL answers are auto-scored by comparing query output with the expected result, that optional partial credit compares the query with 'a large set of known successful queries', and that reviewers can override the mark.
- DocumentationCaptured Sep 25, 2026
Help article explains how the Alooba Benchmark is set (roughly the 80th percentile of past scores on the same questions, aggregated and anonymised), that new assessments use it as the default pass mark, and its limits, such as excluding coding and free-response questions.
- DocumentationCaptured Sep 25, 2026
Help article says Alooba's AI uses natural language processing on a job description to generate a pre-configured assessment, without naming the model or provider or giving any accuracy information.
https://support.alooba.com/article/55-ai-generated-assessments
- Public statementCaptured Sep 25, 2026
Test page says Alooba's cheating protection includes AI text detection, but no public document explains the method or its error rates.
- Public statementCaptured Sep 25, 2026
Alooba says it does not publish details of its Advanced Cheating Protection System, in order to keep the system effective.
https://www.alooba.com/articles/preventing-candidates-cheating-in-online-tests-with-proctoring/
- AbsenceCaptured Sep 25, 2026
Searches of alooba.com and the support centre's 59 articles found no model or system cards, AI policy, explainability statement, named AI providers, ISO 42001 certificate, or documentation for the 'Automated CV screening' feature listed on the pricing page.
Bias Audit Transparency
4 items22
- Public statementCaptured Sep 25, 2026
Help-centre FAQ says Alooba is not an AEDT under New York's 2023 law, because its scoring 'is not derived from ML, AI, statistics' and customers still make discretionary decisions, so no Local Law 144 audit is offered.
https://support.alooba.com/article/74-getting-started-with-alooba
- Public statementCaptured Sep 25, 2026
Diversity page calls Alooba's tests 'Unbiased Tests' because answers are simply right or wrong with 'no algorithm behind the scene', and cites no adverse-impact data, audit or validation study.
- Public statementCaptured Sep 25, 2026
An undated in-house experiment compared 7 recruiters' CV shortlists of 426 applicants with Alooba test rankings, but reports no demographic, adverse-impact or job-performance analysis.
https://www.alooba.com/articles/hiring-data-professionals-the-experiment/
- AbsenceCaptured Sep 25, 2026
Searches of alooba.com, the pricing page and the support centre found no NYC LL 144 bias audit summary, independent audit (BABL AI, DCI, ORCAA, Warden AI, Holistic AI, Credo AI), adverse-impact statistics or test validation study; trust.warden-ai.com/alooba returns 404.
FRIA Support
2 items28
- AbsenceCaptured Sep 25, 2026
Searches of alooba.com, the pricing page, the terms and DPA, and the support centre's 59 articles found no EU AI Act Article 27 fundamental rights impact assessment template, no deployer-obligation guidance and no AI Act reference.
- DocumentationCaptured Sep 25, 2026
The GDPR Data Processing Addendum commits Alooba, on written request, to help customers with data protection impact assessments and prior consultations, charging time and materials for help beyond the agreement's own information.
Data Governance Disclosure
6 items45
- DocumentationCaptured Sep 25, 2026
Privacy policy, framed around Australia's Privacy Act 1988 and the GDPR, lists the candidate data collected (including screen screenshots, webcam recordings, CV, identified gender and year of birth), keeps dormant-account data for up to 36 months and allows indefinite use of anonymised data.
- DocumentationCaptured Sep 25, 2026
Terms updated 28 July 2026 include a GDPR DPA with Standard Contractual Clauses, 14-day notice of new sub-processors, 48-hour breach notification and deletion within 90 days, while another clause says User Data 'may be transferred unencrypted'.
- Product featureCaptured Sep 25, 2026
When Greenhouse sends its anonymize webhook, Alooba removes candidates' names, emails, phone numbers, resume URLs and other assessment PII.
https://support.alooba.com/article/27-greenhouse-integration
- Public statementCaptured Sep 25, 2026
In an April 2025 podcast, founder Tim Freestone said customers can record candidates' screens and webcams, that Alooba measures keystrokes and clicks, and that it analyses images and video to flag suspicious activity; the privacy policy mentions the recordings but not keystroke logging or this analysis.
- Public statementCaptured Sep 25, 2026
Candidate FAQ says Alooba 'retains a permanent record of all cheating discovered on the platform', and neither this page nor the privacy policy explains how that record is reviewed or can be challenged.
https://support.alooba.com/article/30-taking-an-alooba-assessment
- AbsenceCaptured Sep 25, 2026
No security page, trust centre, ISO 27001 or SOC 2 report, published sub-processor list, hosting locations, or disclosure of the AI models and data behind the AI features was found; trust.alooba.com and security.alooba.com do not resolve, and www.alooba.com/security/ and /trust/ return 404.
Human Oversight Design
7 items55
- DocumentationCaptured Sep 25, 2026
Reviewers can compare a candidate's SQL query with a correct example and override the automated mark, and the test and overall scores update automatically.
- DocumentationCaptured Sep 25, 2026
Free-response and one-way video answers have no automated scoring and are marked by people against model answers and positive indicators.
- DocumentationCaptured Sep 25, 2026
Candidate cloaking hides names, emails and images from reviewers at user, assessment or organisation level, and assessment-level cloaking cannot be switched off from the candidate page.
- DocumentationCaptured Sep 25, 2026
A per-test event timeline shows reviewers tab exits, pastes, connection drops and video events, and warns that flagged behaviour may have a legitimate explanation.
- DocumentationCaptured Sep 25, 2026
The Alooba Benchmark is described as 'complementing, not replacing, your judgment', and customers can edit the pass mark it sets by default.
- DocumentationCaptured Sep 25, 2026
Customers can auto-reject candidates below an individual-test or overall score threshold; the system emails the rejections, 'eliminating the need for manual intervention', and the article describes no human review or appeal step.
https://support.alooba.com/article/60-automated-candidate-rejection
- Public statementCaptured Sep 25, 2026
Alooba says it flags and reports suspected cheating to employers but 'does not report cheating to the candidate', so candidates are not told about integrity flags raised against them.
https://www.alooba.com/articles/preventing-candidates-cheating-in-online-tests-with-proctoring/
Post-Market Monitoring
4 items36
- DocumentationCaptured Sep 25, 2026
A public Statuspage lists four components (API, Integrations, Assessment Taking, Admin Dashboard), but its incidents feed shows no incident has ever been posted.
- DocumentationCaptured Sep 25, 2026
Pricing page lists candidate question reporting investigated by Alooba's content team, automatic demotion of frequently reported questions, and detection of leaked questions.
- DocumentationCaptured Sep 25, 2026
The only public product changelog found is a February 2022 update, with no later entries or notes on changes to AI features.
- AbsenceCaptured Sep 25, 2026
No security contact, vulnerability-disclosure policy, security.txt (www.alooba.com/.well-known/security.txt returns 404) or incident postmortem was found, and status.alooba.com does not resolve; the only published contact is the Privacy Officer at admin@alooba.com.
Customer Documentation
5 items58
- DocumentationCaptured Sep 25, 2026
Public help-centre FAQ covers setup, best practice and security and privacy questions, and states Alooba's position that it is not an NYC AEDT.
https://support.alooba.com/article/74-getting-started-with-alooba
- DocumentationCaptured Sep 25, 2026
Product page describes test types, automatic grading, the Benchmarking Score, candidate cloaking, cheating protection and ATS integrations with Lever, Greenhouse and SmartRecruiters.
- DocumentationCaptured Sep 25, 2026
Terms include a GDPR Data Processing Addendum that customers enter into by executing the agreement.
- DocumentationCaptured Sep 25, 2026
Personality-test guide advises employers on informed consent and transparency, and says results should add to other evidence rather than replace it.
https://support.alooba.com/article/34-personality-profiling-test-in-alooba
- AbsenceCaptured Sep 25, 2026
No EU AI Act, Illinois or Colorado deployer guidance was found, and 55 of the support centre's 59 articles were last updated in 2022 or 2023.
Editorial notes
Company overview
Alooba Pty Ltd was founded in 2019 by Tim Freestone and is based in New South Wales, Australia. It started as a data and analytics testing platform and in 2025 expanded to all business roles. Alooba Assess auto-grades SQL (with similarity-based partial credit), Python/R and multiple-choice tests. It sets each new assessment's pass mark to an 'Alooba Benchmark' drawn from historical scores, and customers can have it auto-reject candidates who score below their thresholds. Its AI features generate assessments from job descriptions, expand the question bank with LLMs, write candidate feedback and detect AI-written text. The Professional plan also lists an 'automated CV screening' feature that Alooba does not document anywhere. People grade free-response and video answers. Alooba Interview is a structured-interview tool scored by human interviewers, and Alooba Match is a recruitment service run by skills experts; neither is marketed as AI. Plans start at $250 a month.
Regulatory exposure
Alooba's help centre says it is not an automated employment decision tool (AEDT) under NYC Local Law 144, because its scoring 'is not derived from ML, AI, statistics' and customers keep discretion. That argument holds best for answer-key grading. It is weakest where a customer turns on score-threshold auto-rejection, which rejects and emails candidates 'eliminating the need for manual intervention', or keeps the statistically derived Benchmark as the pass mark. Alooba publishes no bias audit, so NYC employers carry that risk, and DCWP has committed to tougher enforcement. Under the EU AI Act, AI used to evaluate candidates is high-risk (Annex III point 4), with obligations now due on 2 December 2027. Alooba's AI-generated assessments, AI text detection and CV screening come closest to that line. Nothing it publishes suggests its webcam analysis infers emotions, which has been banned at work since February 2025. Its GDPR documents never address automated decisions such as score-based rejection. Several US rules reach customers who screen on its scores: Illinois HB 3773 notice duties (since 1 January 2026), Colorado's SB 26-189 disclosures (from 1 January 2027) and California's FEHA automated-decision rules (since 1 October 2025). Australia's 2024 Privacy Act amendments add automated-decision disclosures that Alooba's own privacy policy does not make. People score video answers, so the Illinois AI Video Interview Act turns on whether Alooba's undisclosed webcam analysis uses AI.
Path to a higher score
The biggest gain would be an independent bias audit of Alooba's most-used tests and auto-rejection thresholds. The anonymous gender, ethnicity and age data it already lets customers collect could support it. It should also revisit its not-an-AEDT position for accounts that use auto-rejection. It should document the Benchmark consistently: the help centre says roughly the 80th percentile, while the pricing FAQ says the 90th. It should also document the SQL partial-credit method and each AI feature, name the model providers and say whether candidate data reaches them. It should describe what the anti-cheating system flags and how accurate its AI text detection is. Candidates should be told about integrity flags and be able to contest them, the 'permanent' cheating record needs a retention limit, and auto-rejection needs human review or an appeal. Finally, it should publish its sub-processors, hosting locations, certifications and a security contact, keep a live incident history and changelog, and add EU AI Act deployer guidance with a FRIA template.
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
Alooba against its nearest-scoring peers.
The closest scores in Assessment AI, side by side.
- Side-by-sideAlooba vs Adaface39F
- Side-by-sideAlooba vs Canditech39F
- Side-by-sideAlooba vs HirePro38F
- Side-by-sideAlooba vs impress.ai38F
Ranking
Others rated in Assessment AI
Ranked 70 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.
- #67Adaface39F
- #68Canditech39F
- #69DevSkiller39F
- #70AloobaThis profile38F
- #71HirePro38F
- #72impress.ai38F
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.