Moonhub

Moonhub is an AI recruiting platform whose agents (Qualify AI, Engage AI, Monitor AI) search, score, outreach to, and engage candidates across more than a billion public and proprietary profiles, working alongside human expert recruiters who vet candidates before presenting them.
SourcingScreening

HireAIScore rates Moonhub 30 out of 100 (grade F, Substantial gaps) under rubric v1.0, last reviewed June 7, 2026. Moonhub ranks 83 of 86 vendors rated in Candidate sourcing AI, against a category average of 46. That score is drawn from 13 evidence items across 7 rubric criteria for Moonhub — 6 with a cited source, 7 recording that nothing was located.

Score breakdown

Moonhub, 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.

  1. Article 11 Technical Documentation

    Weight 20% · avg 48

    30

    +6.0

  2. Bias Audit Transparency

    Weight 18% · avg 40

    18

    +3.2

  3. FRIA Support

    Weight 15% · avg 31

    25

    +3.8

  4. Data Governance Disclosure

    Weight 15% · avg 53

    40

    +6.0

  5. Human Oversight Design

    Weight 12% · avg 56

    48

    +5.8

  6. Post-Market Monitoring

    Weight 12% · avg 40

    22

    +2.6

  7. Customer Documentation

    Weight 8% · avg 57

    38

    +3.0

Total weighted score

30.4(rounded to 30 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

Human Oversight Design

48raw / 100

Contributes 5.8 to the total. 48 against a 56 category average.

Weakest criterion

Bias Audit Transparency

18raw / 100

Contributes 3.2 to the total. 18 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 record

Evidence ledger

Items
13
Documentation
3
Public statement
3
Absence
7
With a source URL
6 of 13
Source hostnames
3
Fewest items
1
FRIA Support

These figures measure how thoroughly Moonhub was reviewed, not how Moonhub performed — an absence row, recording that nothing was located, is counted like any other item.

Article 11 Technical Documentation

2 items30
  • DocumentationCaptured Jun 7, 2026

    Data security & privacy page states a focus on 'responsible use of AI' but lists the actual AI policy as 'Coming Soon,' so no substantive technical or explainability documentation is published.

    https://www.moonhub.ai/data-security-and-privacy

  • AbsenceCaptured Jun 7, 2026

    No system/model cards, technical documentation pack, explainability statement, or ISO 42001 evidence found on moonhub.ai (the /ai-policy URL returns HTTP 404) or via web search.

    Have a URL that disputes this?

Bias Audit Transparency

2 items18
  • Public statementCaptured Jun 7, 2026

    Founder Nancy Xu tells Fortune the platform helps reduce human bias by letting recruiters describe needs directly rather than relying on proxies like company or university names, but cites no formal audit.

    https://fortune.com/2023/10/23/moonhub-ai-recruiting-hiring-startup/

  • AbsenceCaptured Jun 7, 2026

    No NYC Local Law 144 bias audit, independent third-party audit, or academic audit of Moonhub could be found on its site or via targeted searches for 'Moonhub' plus 'bias audit' / 'Local Law 144'.

    Have a URL that disputes this?

FRIA Support

1 item25
  • AbsenceCaptured Jun 7, 2026

    No EU AI Act Article 27 Fundamental Rights Impact Assessment template, deployer-obligation guidance, or trust package was found anywhere on moonhub.ai or in search results.

    Have a URL that disputes this?

Data Governance Disclosure

2 items40
  • DocumentationCaptured Jun 7, 2026

    Page states Moonhub works within CCPA, GDPR and other applicable regulations, maintains a 'do not use list' for opted-out profiles, and offers a data-subject access request process via contact@moonhub.ai.

    https://www.moonhub.ai/data-security-and-privacy

  • AbsenceCaptured Jun 7, 2026

    No disclosure of training data sources, exclusion of protected attributes, sub-processors, or security certifications (SOC 2, ISO 27001, ISO 42001) was found.

    Have a URL that disputes this?

Human Oversight Design

2 items48
  • Public statementCaptured Jun 7, 2026

    Moonhub markets a hybrid model where expert talent partners use the AI to vet candidates before presenting them, and a 'Monitor AI' that performs handoffs and escalations, indicating human review in the workflow.

    https://www.moonhub.ai/

  • AbsenceCaptured Jun 7, 2026

    No documentation of concrete oversight controls such as reviewer override, in-product score explanations, per-jurisdiction configuration, or audit-log access was found.

    Have a URL that disputes this?

Post-Market Monitoring

2 items22

Customer Documentation

2 items38
  • DocumentationCaptured Jun 7, 2026

    Public terms of service describe the AI hiring service and require customers to comply with employment-discrimination laws, but provide no bias-audit, NYC LL 144, or deployer-compliance guidance and disclaim all fitness/accuracy warranties.

    https://www.moonhub.ai/terms-of-service

  • AbsenceCaptured Jun 7, 2026

    No deployer/compliance guidance, DPA, NYC LL 144 or EU AI Act customer guidance, or compliance resource hub was found; the dedicated AI policy remains 'Coming Soon.'

    Have a URL that disputes this?

Editorial notes

Company overview

Moonhub is an AI recruiter / agentic sourcing platform founded in 2022 by ex-Meta engineer and Stanford PhD Nancy Xu, headquartered in Menlo Park, California. It combines proprietary AI agents that identify, score, and engage candidates across 1B+ profiles (LinkedIn, GitHub, Stack Overflow and proprietary data) with human 'talent partner' recruiters who vet candidates before presenting them to clients. The company raised roughly $14.4M from Khosla Ventures, GV, AIX Ventures, Day One Ventures and Salesforce. In June 2025 Salesforce acqui-hired part of the Moonhub team; per TechCrunch the standalone company is winding down (Salesforce itself disputes that this was a formal 'acquisition'), so the public product appears to be in a closing posture.

Regulatory exposure

Moonhub's product sits squarely in scope for high-risk AI hiring rules: as an agentic sourcing and screening tool it falls under the EU AI Act's high-risk employment use case, and its candidate scoring/screening behavior would be an automated employment decision tool under NYC Local Law 144 and similar Illinois/Colorado regimes. Public disclosure is thin: the data-security-and-privacy page commits to CCPA/GDPR alignment, a 'do not use list' opt-out, and a data-subject access process, but a dedicated AI policy is still marked 'Coming Soon' and the /ai-policy URL returns 404. No NYC LL 144 bias audit, no EU AI Act / FRIA deployer materials, no model cards, and no ISO 42001 / SOC 2 evidence are published. The standard terms push compliance with employment-discrimination laws onto the customer and disclaim all accuracy/fitness warranties.

Path to a higher score

The most consequential step would be publishing the promised AI policy with an explainability statement and model/system documentation, then commissioning and publicly posting an independent NYC LL 144 bias audit (auditor, date, downloadable summary). Adding EU AI Act deployer guidance / a FRIA template, a detailed data-governance disclosure (training-data sources, exclusion lists, protected-attribute handling) and recognized certifications (SOC 2, ISO 42001) would lift several categories. A public status/security-incident channel and a model-update changelog would address post-market monitoring. In practice, given the June 2025 Salesforce acqui-hire and apparent wind-down of the standalone product, it is unlikely Moonhub will invest further in this documentation as an independent vendor.

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.

Keep reading

All sourcing vendorsHow this score is builtAnnex IV section-by-section: what AI hiring vendors must documentWhat makes a defensible NYC LL 144 bias audit

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Ranking

Others rated in Candidate sourcing AI

Ranked 83 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.

  1. #80Entelo33F
  2. #81Emi33F
  3. #82Arena Analytics32F
  4. #83MoonhubThis profile30F
  5. #84HeroHunt.ai30F
  6. #85JobDiva29F
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Conflicts of interest

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Casework has no commercial relationship with this vendor.