Radancy
Radancy is an enterprise talent acquisition cloud combining recruitment marketing, career sites and CRM with agentic AI that sources, screens, scores, ranks and schedules candidates, including one-way video screening inherited from its myInterview acquisition.
§ 01 — Score breakdown
§ Score breakdown
Category scoring
Weighted contribution shown to the right of each bar.
- 01
Article 11 Technical Documentation
Weight 20%42
+8.4
- 02
Bias Audit Transparency
Weight 18%20
+3.6
- 03
FRIA Support
Weight 15%28
+4.2
- 04
Data Governance Disclosure
Weight 15%58
+8.7
- 05
Human Oversight Design
Weight 12%57
+6.8
- 06
Post-Market Monitoring
Weight 12%36
+4.3
- 07
Customer Documentation
Weight 8%60
+4.8
§ 02 — Strongest · weakest
Strongest category
Customer Documentation
Raw score 60 · contributes 4.8 to total.
Weakest category
Bias Audit Transparency
Raw score 20 · contributes 3.6 to total.
§ 03 — Cited evidence
Download diligence record→§ Evidence
Cited per category
Every score is backed by at least one cited piece of evidence.
§ 04 — Editorial notes
Company overview
Radancy is a New York-headquartered talent acquisition cloud that operated as TMP Worldwide Advertising & Communications before rebranding to Radancy in 2021, and has been backed by private equity (Gemspring Capital) since 2018. Its own site reports 675+ platform customers, roughly 965 employees and 18 offices across 10 countries, with named enterprise references including Capital One, Dell, Sony, UPS and Santander. The platform spans recruitment marketing, career sites, candidate CRM and analytics, and has been extended through acquisitions — Brazen and Asendify in 2023 and myInterview in September 2025, whose domain now redirects into Radancy's screening-and-scheduling product. Radancy markets five named agentic AI agents (Career Discovery, Sourcing, Screening, Scheduling and Insights) that match candidates to open roles, evaluate qualifications via conversational AI, and automatically score and rank candidates against job requirements using a proprietary skills knowledge graph.
Regulatory exposure
Radancy's exposure is high and broad. Automated scoring, ranking and shortlisting of candidates places the platform squarely in Annex III of the EU AI Act as a high-risk employment system, triggering Article 11 technical documentation and Article 27 deployer FRIA obligations — and Radancy is a genuine EU-market actor with offices in Germany, France, Austria and the Netherlands and localized Responsible AI pages in French and Dutch. In New York City, a tool that scores and ranks applicants to substantially assist hiring decisions is an AEDT under Local Law 144, requiring an annual independent bias audit with publicly posted summary results. The myInterview one-way video capability adds Illinois AI Video Interview Act duties, and Colorado SB 24-205 would treat Radancy as a developer of a high-risk AI system with attendant documentation obligations to deployers. Against that exposure, the most striking gap is evidentiary: despite explicitly selling AI candidate scoring and ranking, Radancy publishes no bias audit, no auditor name, no fairness testing results, and no jurisdiction-specific compliance guidance anywhere on its public site. Its most concrete commitments are contractual rather than technical — its standard Terms bind it to human decision-making and non-discriminatory AI design, which is meaningful but is not a substitute for a published audit or technical file.
Path to a higher score
The single highest-value step is commissioning and publicly posting an NYC Local Law 144 bias audit for the screening/scoring agent and the myInterview video product, with a named independent auditor, audit date, selection and scoring rates by sex and race/ethnicity including intersectional categories, and a downloadable summary — this alone would move the weakest score dramatically. Second, publish Article 11-grade technical documentation: a model or system card for the skills knowledge graph and scoring model, an explainability statement making good on the 'explainable scoring' product claim, and a description of intended purpose, known limitations and accuracy metrics. Third, convert the DPA's existing DPIA-assistance clause into explicit EU AI Act deployer guidance, including an Article 27 FRIA template and an instructions-for-use pack. Fourth, pursue ISO/IEC 42001 certification and upgrade the DPA's 'ISO/IEC 27001 alignment' language to an actual certification, publishing both alongside the existing SOC 2 Type 2 + HITRUST report rather than gating them behind a request form. Finally, stand up public post-market surveillance surfaces — a status page (status.radancy.com does not currently resolve), an ungated model-update changelog, and a named AI incident channel distinct from the existing security-concern form.
§ Compare
Build any comparison→Radancy against its nearest-scoring peers.
In Candidate sourcing AI.
Conflicts of interest
No vendor pays for placement, scoring, or removal. Casework — the consulting firm that operates this directory — provides paid services to some vendors. Any active or recent (within 24 months) commercial relationship is disclosed on the affected vendor profile and the review is reassigned to an independent reviewer. See the full policy on About.
Casework has no commercial relationship with this vendor.