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.
HireAIScore rates Moonhub 30 out of 100 (grade F, Substantial gaps) under rubric v1.0, last reviewed June 7, 2026. Moonhub ranks 48 of 49 vendors rated in Candidate sourcing AI, against a category average of 48. 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.
§ 01 - Company facts
- Legal name
- Moonhub, Inc.
- Founded
- 2022
- Headquarters
- United States · US
- Pricing tier
- Mid
- Market side
- Employer-side (AEDT)
- Categories
- SourcingScreening
- Website
- moonhub.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%30
+6.0 · category avg 51
- 02
Bias Audit Transparency
Weight 18%18
+3.2 · category avg 47
- 03
FRIA Support
Weight 15%25
+3.8 · category avg 32
- 04
Data Governance Disclosure
Weight 15%40
+6.0 · category avg 54
- 05
Human Oversight Design
Weight 12%48
+5.8 · category avg 56
- 06
Post-Market Monitoring
Weight 12%22
+2.6 · category avg 41
- 07
Customer Documentation
Weight 8%38
+3.0 · category avg 57
Category avg is the mean raw score on that criterion across the 49 Candidate sourcing AI vendors in scope of this rubric, this one included.
§ 03 - Strongest · weakest
Strongest category
Human Oversight Design
Raw score 48 · contributes 5.8 to total.
48 against a 56 category average
Weakest category
Bias Audit Transparency
Raw score 18 · contributes 3.2 to total.
18 against a 47 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
- 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.
- 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.
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'.
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.
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.
- 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.
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.
- 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.
Post-Market Monitoring
2 items22
- AbsenceCaptured Jun 7, 2026
No status page, security/incident reporting channel, model-update changelog, or continuous-monitoring dashboard was found on moonhub.ai; only a general contact@moonhub.ai address is provided.
- Public statementCaptured Jun 7, 2026
TechCrunch reports the standalone company is shutting down following a June 2025 Salesforce acqui-hire, making ongoing post-market monitoring unlikely.
https://techcrunch.com/2025/06/02/salesforce-buys-moonhub-a-startup-building-ai-tools-for-hiring/
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.
- 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.'
§ 05 - 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.
§ Compare
Build any comparison→Moonhub against its nearest-scoring peers.
In Candidate sourcing AI.
§ Others rated in Candidate sourcing AI
All sourcing vendors→Ranked 48 of 49 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.
- 45Ceipal35F
- 46SeekOut34F
- 47Entelo33F
- 48MoonhubThis profile30F
- 49Mercor23F
Conflicts of interest
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Casework has no commercial relationship with this vendor.