Metaview
Metaview is an AI recruiting platform whose agents transcribe and summarize interviews into structured notes and scorecards, and whose Application Review feature screens and ranks inbound applicants against an auto-generated Ideal Candidate Profile with fit ratings.
HireAIScore rates Metaview 54 out of 100 (grade F, Substantial gaps) under rubric v1.0, last reviewed June 7, 2026. Metaview ranks 22 of 92 vendors rated in Screening AI, against a category average of 47. That score is drawn from 16 evidence items across 7 rubric criteria for Metaview — 13 with a cited source, 3 recording that nothing was located.
§ 01 - Company facts
- Legal name
- Metaview Technologies Inc.
- Founded
- 2018
- Headquarters
- United Kingdom · GB
- Pricing tier
- Mid
- Market side
- Employer-side (AEDT)
- Categories
- ScreeningAssessmentATS-integrated
- Website
- metaview.ai
These are company details, not findings. They are editable by a verified representative and carry no weight in the score, which is built only from the cited evidence below.
§ 02 - Score breakdown
§ Score breakdown
Category scoring
Weighted contribution shown to the right of each bar.
- 01
Article 11 Technical Documentation
Weight 20%38
+7.6 · category avg 50
- 02
Bias Audit Transparency
Weight 18%80
+14.4 · category avg 46
- 03
FRIA Support
Weight 15%33
+5.0 · category avg 32
- 04
Data Governance Disclosure
Weight 15%60
+9.0 · category avg 54
- 05
Human Oversight Design
Weight 12%60
+7.2 · category avg 56
- 06
Post-Market Monitoring
Weight 12%48
+5.8 · category avg 40
- 07
Customer Documentation
Weight 8%62
+5.0 · category avg 58
Category avg is the mean raw score on that criterion across the 92 Screening AI vendors in scope of this rubric, this one included.
§ 03 - Strongest · weakest
Strongest category
Bias Audit Transparency
Raw score 80 · contributes 14.4 to total.
80 against a 46 category average
Weakest category
FRIA Support
Raw score 33 · contributes 5.0 to total.
33 against a 32 category average
§ 04 - Cited evidence
Download diligence record→§ Evidence
Cited per category
Every score is backed by at least one cited piece of evidence.
Evidence ledger
- Items
- 16
- Documentation
- 7
- Audit report
- 2
- Public statement
- 4
- Absence
- 3
- With a source URL
- 13 of 16
- Source hostnames
- 3
- Fewest items
- 2
- Article 11 Technical Documentation
These figures measure how thoroughly Metaview was reviewed, not how Metaview performed — an absence row, recording that nothing was located, is counted like any other item.
Article 11 Technical Documentation
2 items38
- DocumentationCaptured Jun 7, 2026
Application Review provides candidate-level written rationale and a documented Ideal Candidate Profile, but this is product UX, not a published model/system card or technical pack.
- AbsenceCaptured Jun 7, 2026
Searches of metaview.ai, its blog, privacy pages and support help center surfaced no AI model card, system card, explainability whitepaper, responsible-AI policy or ISO 42001 certification.
Bias Audit Transparency
2 items80
- Audit reportCaptured Jun 7, 2026
Independent Warden AI NYC LL 144 bias audit of Application Review dated 7 May 2026, run monthly (continuous), 15,264-candidate sample with sex, race/ethnicity and intersectional disparate-impact ratios, with a downloadable report.
- Public statementCaptured Jun 7, 2026
Metaview's support center states it undergoes monthly independent third-party bias testing via Warden AI.
https://support.metaview.ai/account-management/privacy-and-security/overview
FRIA Support
2 items33
- Public statementCaptured Jun 7, 2026
Metaview asserts an EU AI Act non-high-risk classification under the Article 6(3) exemption rather than publishing FRIA or high-risk-deployer obligation guidance.
https://support.metaview.ai/account-management/privacy-and-security/overview
- AbsenceCaptured Jun 7, 2026
No FRIA template, Article 27 guidance or EU AI Act deployer-obligation documentation was found on metaview.ai, its privacy pages or support help center.
Data Governance Disclosure
3 items60
- DocumentationCaptured Jun 7, 2026
Privacy page documents SOC 2 Type II, 256-bit encryption, AWS UK data residency, default 2-year customizable retention, DPA availability and on-demand deletion.
- Public statementCaptured Jun 7, 2026
Support center states Metaview does not use customer data for AI model training (relying on pre-trained LLM partners) and lists sub-processors in its Trust Center.
https://support.metaview.ai/account-management/privacy-and-security/overview
- DocumentationCaptured Jun 7, 2026
Privacy policy details GDPR/CCPA data-subject rights, SCCs for transfers, an EU Article 27 representative (Osano) and exclusion of special-category data as structured fields.
Human Oversight Design
2 items60
- DocumentationCaptured Jun 7, 2026
Application Review states 'AI informs. You decide.' and 'we never auto-reject', with an editable Ideal Candidate Profile and candidate-level reasoning humans can override.
- DocumentationCaptured Jun 7, 2026
Homepage describes user-defined guardrails on AI agents, audit trails documenting AI reasoning, and the ability to review, edit or override AI recommendations.
Post-Market Monitoring
2 items48
- Audit reportCaptured Jun 7, 2026
Warden AI dashboard provides ongoing monthly post-market bias monitoring of Application Review with refreshed results and downloadable reports.
- Public statementCaptured Jun 7, 2026
Support center cites regular external penetration testing and dedicated security@metaview.ai and privacy@metaview.ai contacts; no public incident/status page or changelog was found.
https://support.metaview.ai/account-management/privacy-and-security/overview
Customer Documentation
3 items62
- DocumentationCaptured Jun 7, 2026
Support help center provides a detailed privacy and security overview covering certifications, data handling, bias testing and human oversight.
https://support.metaview.ai/account-management/privacy-and-security/overview
- DocumentationCaptured Jun 7, 2026
Dedicated privacy and security product page plus a self-service Trust Center and available DPA give prospective customers reviewable compliance material.
- AbsenceCaptured Jun 7, 2026
No NYC LL 144 candidate-notice templates or EU AI Act deployer-obligation guidance were found in Metaview's customer-facing documentation.
§ 05 - Editorial notes
Company overview
Metaview, founded in 2018 by ex-Uber and ex-Palantir leaders Siadhal Magos and Shahriar Tajbakhsh and headquartered in London (with a US entity, Metaview Technologies Inc.), began as an AI interview notetaker that records, transcribes and summarizes recruiting interviews and generates structured notes and scorecards. It has since expanded into a broader recruiting platform: sourcing, candidate search, job posts, reporting, and an Application Review agent that turns a job description into an Ideal Candidate Profile and screens every applicant into 'Strong / Good / Partial match' buckets with written rationale. The company has over 2,500 customers (including Sony, Brex, Deel and Deliveroo) and raised a $35M Series B led by GV in 2025.
Regulatory exposure
While the AI Notetaker is positioned as non-decisioning ('doesn't make decisions, evaluate candidates, or provide recommendations'), the Application Review product ranks and rates candidates against a profile, which makes it an automated employment decision tool implicating NYC Local Law 144 and likely EU AI Act Annex III high-risk scrutiny. Metaview engages Warden AI for monthly, ongoing bias audits of Application Review (latest 7 May 2026, 15,264-candidate sample) with a publicly downloadable NYC LL 144 report and intersectional sex/race analysis. On the EU AI Act, Metaview publicly asserts a non-high-risk position under the Article 6(3) exemption rather than publishing high-risk-deployer (FRIA) documentation. It is SOC 2 Type II certified, GDPR/CCPA compliant, hosts data in AWS UK, and states it does not train AI models on customer data.
Path to a higher score
Metaview already clears the hardest bar (continuous, publicly downloadable third-party bias auditing) and has strong security/data-governance disclosure. To raise its scores it should: publish Article 11-style technical documentation or a model card / explainability statement for Application Review and a responsible-AI policy; provide explicit NYC LL 144 deployer guidance and candidate-notice templates rather than leaving compliance to customers; document its EU AI Act Article 6(3) reasoning and offer FRIA / deployer-obligation guidance for customers who do treat it as high-risk; surface a public sub-processor list and a status/incident channel; and pursue ISO 42001 to formalize AI governance.
§ Regulatory frame
What applies to screening ai.
Treated as high-risk under Annex III §4 when the screening output is decisive. EU AI Act Article 13 transparency obligations apply; deployers must give candidates a way to contest.
§ Compare
Build any comparison→Metaview against its nearest-scoring peers.
In Screening AI.
§ Others rated in Screening AI
All screening vendors→Ranked 22 of 92 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.
- 19Gem55F
- 20iCIMS55F
- 21Plum54F
- 22MetaviewThis profile54F
- 23Checkr54F
- 24Bullhorn54F
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.