Oleeo
Oleeo is an enterprise applicant tracking and talent acquisition platform that uses machine learning to score, rank, and screen candidates from resumes, applications, and assessment responses, with prescriptive interview and hire recommendations and a stated diversity/bias-mitigation focus.
§ 01 — Score breakdown
§ Score breakdown
Category scoring
Weighted contribution shown to the right of each bar.
- 01
Article 11 Technical Documentation
Weight 20%40
+8.0
- 02
Bias Audit Transparency
Weight 18%40
+7.2
- 03
FRIA Support
Weight 15%25
+3.8
- 04
Data Governance Disclosure
Weight 15%45
+6.8
- 05
Human Oversight Design
Weight 12%55
+6.6
- 06
Post-Market Monitoring
Weight 12%30
+3.6
- 07
Customer Documentation
Weight 8%55
+4.4
§ 02 — Strongest · weakest
Strongest category
Article 11 Technical Documentation
Raw score 40 · contributes 8.0 to total.
Weakest category
Post-Market Monitoring
Raw score 30 · contributes 3.6 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
Oleeo (formerly World Careers Network / WCN, founded 1995 and rebranded in 2018) is a UK-headquartered enterprise recruiting platform based in Wimbledon, London, with additional offices in New York and Vietnam. Its suite combines a multi-award-winning ATS and recruitment CRM with a 'Data Science' layer — Intelligent Selection (predictive five-star scoring of skills, cultural fit, offer-acceptance and retention probability), AI Candidate Screening, and Intelligent Assessment Scoring of free-text competency answers. The product is heavily marketed to high-volume and diversity-focused employers (finance, police, public sector, NHS, campus), positioning AI as a way to surface strong candidates who might be missed in manual review while 'reducing unconscious bias.'
Regulatory exposure
Oleeo's AI tools score and rank candidates for employment decisions, squarely placing them in scope of NYC Local Law 144 (as an AEDT) and the EU AI Act's high-risk Annex III employment category, with adjacent exposure to Illinois and Colorado AI-hiring rules. Oleeo markets itself as 'Ethical by Design' and claims algorithms 'optimised to ensure no adverse selection' and to 'deliver regulatory compliance to laws such as GDPR in the EU and EEOC in the US,' but it publishes no model/system card, no independent NYC LL 144 bias audit, no FRIA/deployer guidance, and no downloadable validation study. Its strongest verifiable evidence is operational (human-in-the-loop override, evidence-based explanations) and security-oriented (ISO 27001), not transparency documentation that a regulator or deployer could rely on.
Path to a higher score
The fastest gains are in bias-audit transparency and technical documentation: commission and publicly post an independent NYC LL 144-style bias audit (e.g., Warden AI, Holistic AI, BABL AI, DCI) with auditor and date, and publish the 'comprehensive validation studies' it repeatedly references but never links. Oleeo should add a model/system card and explainability statement describing data used and excluded, plus deployer-facing EU AI Act guidance (Art. 26/27, FRIA template) and an NYC LL 144 compliance page. A public trust/security center with a vulnerability-disclosure channel, status page, and ISO 27001 certificate would lift data-governance and post-market-monitoring scores from their current near-absence.
Conflicts of interest
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Casework has no commercial relationship with this vendor.