Fountain
AI-powered high-volume hiring platform that automates sourcing, applicant screening (including a voice-based AI Recruiter), interview scheduling, and onboarding for frontline workforces.
§ 01 — Score breakdown
§ Score breakdown
Category scoring
Weighted contribution shown to the right of each bar.
- 01
Article 11 Technical Documentation
Weight 20%50
+10.0
- 02
Bias Audit Transparency
Weight 18%30
+5.4
- 03
FRIA Support
Weight 15%30
+4.5
- 04
Data Governance Disclosure
Weight 15%55
+8.3
- 05
Human Oversight Design
Weight 12%58
+7.0
- 06
Post-Market Monitoring
Weight 12%40
+4.8
- 07
Customer Documentation
Weight 8%52
+4.2
§ 02 — Strongest · weakest
Strongest category
Article 11 Technical Documentation
Raw score 50 · contributes 10.0 to total.
Weakest category
Customer Documentation
Raw score 52 · contributes 4.2 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
Fountain, founded in 2014 and headquartered in San Francisco, builds a high-volume hiring and frontline-workforce platform whose customers collectively hire over a million workers a year. Its suite covers sourcing, an ATS, onboarding, and shift scheduling, but the regulated core is its AI Recruiter — an agentic system that reads a job description, holds a voice conversation with applicants, evaluates responses, and advances "top candidates" with a structured score and justification. In 2026 it launched "Cue," an agentic orchestration layer pushing screening, sourcing, and scheduling further toward autonomous execution with human-oversight controls.
Regulatory exposure
An AI tool that scores and ranks applicants is squarely an AEDT under NYC Local Law 144 and a likely "high-risk" system under the EU AI Act, with parallel exposure under Illinois and Colorado law. Fountain's marketing leans on fairness, explainability, and being "designed in accordance with EEOC, GDPR, and ISO 42001 frameworks" — but ISO 42001 is referenced as a design framework, not a held certification, and Fountain publishes no bias audit, no model card, and no FRIA material. Notably, its own screening blog states that "compliance responsibility rests with the employer, not the vendor," pushing the regulatory burden downstream without supporting artifacts.
Path to a higher score
The highest-leverage move is commissioning and publicly posting an independent NYC LL 144 bias audit with disparate-impact ratios and sample sizes, ideally for two consecutive years. Fountain should convert its "designed in accordance with ISO 42001" claim into a real certification or a published AI-management-system statement, release a system/model card and explainability statement for the AI Recruiter, and add deployer-facing compliance guidance (LL 144 notice templates, an EU AI Act deployer pack, a public DPA and subprocessor list).
Conflicts of interest
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