Findem
AI talent-intelligence platform that uses 'attribute'/3D-data enrichment over 850M+ candidate profiles to power candidate search, sourcing, talent CRM, and agentic recruiting workflows.
HireAIScore rates Findem 58 out of 100 (grade F, Substantial gaps) under rubric v1.0, last reviewed June 7, 2026. Findem ranks 7 of 49 vendors rated in Candidate sourcing AI, against a category average of 48. That score is drawn from 17 evidence items across 7 rubric criteria for Findem — 12 with a cited source, 5 recording that nothing was located.
§ 01 - Company facts
- Legal name
- Findem, Inc.
- Founded
- 2019
- Headquarters
- United States · US
- Pricing tier
- Enterprise
- Market side
- Employer-side (AEDT)
- Categories
- SourcingScreeningScheduling
- Website
- findem.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%58
+11.6 · category avg 51
- 02
Bias Audit Transparency
Weight 18%83
+14.9 · category avg 47
- 03
FRIA Support
Weight 15%38
+5.7 · category avg 32
- 04
Data Governance Disclosure
Weight 15%57
+8.5 · category avg 54
- 05
Human Oversight Design
Weight 12%60
+7.2 · category avg 56
- 06
Post-Market Monitoring
Weight 12%42
+5.0 · category avg 41
- 07
Customer Documentation
Weight 8%58
+4.6 · 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
Bias Audit Transparency
Raw score 83 · contributes 14.9 to total.
83 against a 47 category average
Weakest category
FRIA Support
Raw score 38 · contributes 5.7 to total.
38 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
- 17
- Documentation
- 7
- Audit report
- 2
- Public statement
- 3
- Absence
- 5
- With a source URL
- 12 of 17
- Source hostnames
- 2
- Fewest items
- 1
- Human Oversight Design
These figures measure how thoroughly Findem was reviewed, not how Findem performed — an absence row, recording that nothing was located, is counted like any other item.
Article 11 Technical Documentation
2 items58
- DocumentationCaptured Jun 7, 2026
Structures responsible AI on the four NIST AI RMF functions, discloses underlying foundation models, and states 'Findem builds AI you can inspect.'
- AbsenceCaptured Jun 7, 2026
No public material located as of 2026-06-07.
Where we lookedNo ISO 42001, model card, or Article 11 technical documentation pack located; the security page aligns only to 'ISO/IEC 27001 principles' without certification.
Bias Audit Transparency
3 items83
- Audit reportCaptured Jun 7, 2026
Public Warden AI assurance dashboard showing a monthly continuous bias audit (latest June 2026, n=44,072) across 11 protected categories, all 'Clear,' mapped to NYC LL 144, Colorado SB 205, and the EU AI Act.
- Public statementCaptured Jun 7, 2026
Findem blog announcing completion of an independent Warden AI bias audit (December 2025), live for ongoing review in the AI Assurance Dashboard.
- DocumentationCaptured Jun 7, 2026
States Warden AI returned fairness scores at or near parity across every demographic group tested and commits to at-least-annual independent bias audits.
FRIA Support
2 items38
- Public statementCaptured Jun 7, 2026
EU AI Act section states Findem performs no emotion recognition or social scoring and 'will comply' if products qualify as high-risk, but provides no deployer guidance.
- AbsenceCaptured Jun 7, 2026
No public material located as of 2026-06-07.
Where we lookedNo FRIA template or Article 27 deployer guidance located; the only proactive resource is a generic 'Responsible AI Innovation Accelerator' curriculum.
Data Governance Disclosure
3 items57
- DocumentationCaptured Jun 7, 2026
Details SOC 2 Type II, AES-256 encryption, data classification, GDPR/CCPA/Colorado/OFCCP coverage, and customer data-deletion/exclusion controls.
- DocumentationCaptured Jun 7, 2026
States protected/demographic data is used solely for bias auditing and fairness testing, not for scoring, and that customer EEOC data replaces probabilistic inference.
- AbsenceCaptured Jun 7, 2026
No public material located as of 2026-06-07.
Where we lookedNo ISO 42001 and no public subprocessor list located on the security/compliance page.
Human Oversight Design
1 item60
- DocumentationCaptured Jun 7, 2026
'Human-in-the-loop by design' with per-recommendation explainability ('you can see what information shaped every recommendation') and an explicit non-decision boundary.
Post-Market Monitoring
3 items42
- Public statementCaptured Jun 7, 2026
Vulnerability reporting via trust@findem.ai with a defined responsible-disclosure process; no bug bounty.
- Audit reportCaptured Jun 7, 2026
Continuously updated monthly Warden AI fairness dashboard functions as an ongoing post-market bias-monitoring surface.
- AbsenceCaptured Jun 7, 2026
No public material located as of 2026-06-07.
Where we lookedNo public status page, incident channel, or model-update changelog located.
Customer Documentation
3 items58
- DocumentationCaptured Jun 7, 2026
Public enterprise security/compliance page enumerating certifications, data controls, and privacy-framework coverage, with links to privacy policy and DPA.
- DocumentationCaptured Jun 7, 2026
Detailed public responsible-AI page acting as a topic hub with links to the Trust Center and bias-audit dashboard.
- AbsenceCaptured Jun 7, 2026
No public material located as of 2026-06-07.
Where we lookedNo NYC LL 144 candidate-notice template or EU AI Act deployer guidance published; DPA/privacy docs sit behind the gated Vanta trust center.
§ 05 - Editorial notes
Company overview
Findem is a Redwood City–based AI talent-intelligence vendor founded in 2019. Its core product goes "beyond resumes," using what it calls "3D data" and "attributes" to enrich and index more than 850 million global candidate profiles, then match those candidates against employer-defined role requirements. On top of this search-and-sourcing foundation, Findem layers a talent CRM and a tier of "agentic" tools - autonomous agents for job posting, application boost, screening, and interview scheduling.
Regulatory exposure
Findem's central function - analysing and filtering candidates and producing match scores against a role - falls within the EU AI Act's Annex III high-risk category for recruitment and selection, and its match-scoring brings it within scope of NYC Local Law 144's definition of an AEDT. Findem narrows this exposure with a deliberate "decision-support, not decision-maker" posture, stating plainly that its AI "does not reject candidates" or "score people on protected characteristics." That framing reduces, but does not eliminate, deployer obligations. Findem already sits in the top tier of its peer set on bias-audit transparency: it runs a continuous monthly third-party audit with Warden AI across 11 protected categories, with a public AI Assurance Dashboard mapped to NYC LL 144, Colorado SB 205, and the EU AI Act.
Path to a higher score
To raise its remaining scores Findem should publish an Article 11–style technical/ model documentation pack or pursue ISO 42001 (currently absent - it aligns to ISO 27001 "principles" only, and is SOC 2 Type II certified); publish explicit EU AI Act deployer guidance and a FRIA template; surface a public post-market monitoring surface beyond the single security inbox; and ungate the underlying Warden audit report and DPA.
§ 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→Findem against its nearest-scoring peers.
In Candidate sourcing AI.
§ Others rated in Candidate sourcing AI
All sourcing vendors→Ranked 7 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.
- 04Beamery61D
- 05Sense58F
- 06Tezi58F
- 07FindemThis profile58F
- 08Pinpoint57F
- 09Juicebox (PeopleGPT)57F
Conflicts of interest
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Casework has no commercial relationship with this vendor.