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.
§ 01 — 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
- 02
Bias Audit Transparency
Weight 18%83
+14.9
- 03
FRIA Support
Weight 15%38
+5.7
- 04
Data Governance Disclosure
Weight 15%57
+8.5
- 05
Human Oversight Design
Weight 12%60
+7.2
- 06
Post-Market Monitoring
Weight 12%42
+5.0
- 07
Customer Documentation
Weight 8%58
+4.6
§ 02 — Strongest · weakest
Strongest category
Bias Audit Transparency
Raw score 83 · contributes 14.9 to total.
Weakest category
Customer Documentation
Raw score 58 · contributes 4.6 to total.
§ 03 — Cited evidence
§ Evidence
Cited per category
Every score is backed by at least one cited piece of evidence.
§ 04 — 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.
Conflicts of interest
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