AmazingHiring
HireAIScore rates AmazingHiring 37 out of 100 (grade F, Substantial gaps) under rubric v1.0, last reviewed July 17, 2026. AmazingHiring ranks 72 of 86 vendors rated in Candidate sourcing AI, against a category average of 46. That score is drawn from 18 evidence items across 7 rubric criteria for AmazingHiring — 12 with a cited source, 6 recording that nothing was located.
Score breakdown
AmazingHiring, 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 48
35
+7.0
Bias Audit Transparency
Weight 18% · category avg 40
22
+4.0
FRIA Support
Weight 15% · category avg 31
30
+4.5
Data Governance Disclosure
Weight 15% · category avg 53
50
+7.5
Human Oversight Design
Weight 12% · category avg 56
48
+5.8
Post-Market Monitoring
Weight 12% · category avg 40
33
+4.0
Customer Documentation
Weight 8% · category avg 57
52
+4.2
Total weighted score
36.8(rounded to 37 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
Customer Documentation
52raw / 100
Contributes 4.2 to the total. 52 against a 57 category average.
Weakest criterion
Bias Audit Transparency
22raw / 100
Contributes 4.0 to the total. 22 against a 40 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
- 18
- Documentation
- 8
- Public statement
- 3
- Product feature
- 1
- Absence
- 6
- With a source URL
- 12 of 18
- Source hostnames
- 1
- Fewest items
- 2
- Bias Audit Transparency
These figures measure how thoroughly AmazingHiring was reviewed, not how AmazingHiring performed — an absence row, recording that nothing was located, is counted like any other item.
Article 11 Technical Documentation
3 items35
- DocumentationCaptured Jul 17, 2026
The Data Security & Compliance whitepaper references Article 29 WP Guidelines on Automated decision-making but contains no AI model card, technical pack, or explainability statement.
https://amazinghiring.com/docs/amazinghiring-data-security-and-compliance-whitepaper.pdf
- Public statementCaptured Jul 17, 2026
The AI-powered sourcing blog states the AI 'sorts and ranks candidates' on job title, experience, skills, and community activity but gives no methodology or explainability documentation.
https://amazinghiring.com/blog/announcing-ai-powered-automated-sourcing
- AbsenceCaptured Jul 17, 2026
No AI system/model card, explainability statement, AI policy, or ISO 42001 found across the homepage, company page, help center, or via web search.
Bias Audit Transparency
2 items22
- Public statementCaptured Jul 17, 2026
Blog cites Amazon's 2014 biased recruiting tool and asserts AmazingHiring avoids such bias, but provides no audit, methodology, or impact-ratio data.
https://amazinghiring.com/blog/announcing-ai-powered-automated-sourcing
- AbsenceCaptured Jul 17, 2026
No NYC LL 144 bias audit, independent third-party audit, or academic audit published on the site or surfaced by targeted web search.
FRIA Support
2 items30
- DocumentationCaptured Jul 17, 2026
Whitepaper sets out the customer's role as Data Controller and its Article 6 legitimate-interest and Article 14 notification obligations - GDPR deployer guidance, not an AI Act FRIA.
https://amazinghiring.com/docs/amazinghiring-data-security-and-compliance-whitepaper.pdf
- AbsenceCaptured Jul 17, 2026
No EU AI Act Article 27 Fundamental Rights Impact Assessment template or deployer guidance found anywhere on the site.
Data Governance Disclosure
3 items50
- DocumentationCaptured Jul 17, 2026
Whitepaper details Public-Source data collection, sub-processor Article 28(3) DPAs with ISCD vetting, EU Model Clauses, data minimization/retention, and DPO governance.
https://amazinghiring.com/docs/amazinghiring-data-security-and-compliance-whitepaper.pdf
- DocumentationCaptured Jul 17, 2026
States processes were reviewed 'in accordance with ISO 27001' and data is hosted in Hetzner ISO 27001-certified data centers over TLS 1.2 - but claims no AmazingHiring-held ISO 27001/SOC 2 certificate.
https://amazinghiring.com/docs/amazinghiring-data-security-and-compliance-whitepaper.pdf
- DocumentationCaptured Jul 17, 2026
Privacy policy lists the categories of personal data and their public-source origins but discloses no training-data detail or source-exclusion list.
Human Oversight Design
2 items48
- Public statementCaptured Jul 17, 2026
Recruiter chooses the core skill/specialization and the AI ranks candidates for the recruiter to review and contact - human-in-the-loop by design, but no override or explainability controls are described.
https://amazinghiring.com/blog/announcing-ai-powered-automated-sourcing
- AbsenceCaptured Jul 17, 2026
No documentation of ranking override controls, per-jurisdiction toggles, in-product explainability of rankings, or audit logs.
Post-Market Monitoring
3 items33
- DocumentationCaptured Jul 17, 2026
Whitepaper describes internal logging/monitoring, an internal audit team, and an Article 33 supervisory-authority breach-notification process.
https://amazinghiring.com/docs/amazinghiring-data-security-and-compliance-whitepaper.pdf
- Product featureCaptured Jul 17, 2026
A DPO/privacy team is reachable through the online GDPR data-subject request form for data-related requests.
- AbsenceCaptured Jul 17, 2026
No public status page, incident channel, model-update changelog, or dedicated security/trust page (amazinghiring.com/security returns HTTP 404).
Customer Documentation
3 items52
- DocumentationCaptured Jul 17, 2026
Public product pages plus a blog/resource hub of sourcing guides and how-tos document the product for users and prospects.
- DocumentationCaptured Jul 17, 2026
A downloadable Data Security & Compliance whitepaper serves as the primary public compliance document, focused on GDPR.
https://amazinghiring.com/docs/amazinghiring-data-security-and-compliance-whitepaper.pdf
- AbsenceCaptured Jul 17, 2026
No NYC LL 144 / EU AI Act deployer or compliance guidance and no published DPA found on the site.
Editorial notes
Company overview
AmazingHiring (founded 2011, headquartered in Redwood City, California) is a technical-talent sourcing engine that aggregates 600M+ candidate profiles from 50+ public sources - GitHub, Stack Overflow, Kaggle, and other developer communities alongside LinkedIn and job boards - and layers AI ranking, verified-contact retrieval, outreach campaigns, and a Chrome extension on top for technical recruiters. The AI sorts and ranks candidates by fit across attributes such as job title, experience, skills, and professional-community activity; recruiters set the search parameters and make all contact and hiring decisions.
Regulatory exposure
Because AmazingHiring scores and ranks candidates by 'fit,' it is potentially in scope for NYC Local Law 144 (as a tool used in sourcing prioritization) and for the EU AI Act's high-risk employment category, yet it publishes no bias audit, AI model/system card, explainability statement, or Fundamental Rights Impact Assessment material. Its documented compliance posture is entirely GDPR/data-protection-oriented - Data Controller/Processor delineation, an appointed DPO, sub-processor Article 28(3) DPAs, EU Model Clauses, data minimization and retention, and ISO 27001-referenced information security - which addresses data governance reasonably well but leaves the algorithmic-accountability obligations of AEDT-specific laws essentially undocumented.
Path to a higher score
Commission and publish an independent NYC LL 144 bias audit plus an AI system/model card that explains the ranking attributes and how scores are derived; add explicit deployer guidance for NYC LL 144 and an EU AI Act Article 27 FRIA template; obtain a first-party ISO 27001/SOC 2 certificate (and consider ISO 42001) rather than relying solely on the cloud provider's certification; and stand up a public status/security page, incident channel, and sub-processor list to evidence post-market monitoring.
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.
Compare
AmazingHiring against its nearest-scoring peers.
The closest scores in Candidate sourcing AI, side by side.
- Side-by-sideAmazingHiring vs Arya by Leoforce38F
- Side-by-sideAmazingHiring vs Fetcher37F
- Side-by-sideAmazingHiring vs Loxo37F
- Side-by-sideAmazingHiring vs RecruitBot37F
Ranking
Others rated in Candidate sourcing AI
Ranked 72 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.
- #69Fetcher37F
- #70Loxo37F
- #71RecruitBot37F
- #72AmazingHiringThis profile37F
- #73Recruiterflow36F
- #74Turing36F
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.