Spark Hire
Spark Hire is a hiring platform combining one-way (async) and live video interviewing with an applicant tracking system (via its Comeet acquisition), and adds AI features that score and rank candidates' resumes and one-way video responses to help recruiters prioritize submissions.
§ 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%62
+11.2
- 03
FRIA Support
Weight 15%30
+4.5
- 04
Data Governance Disclosure
Weight 15%60
+9.0
- 05
Human Oversight Design
Weight 12%62
+7.4
- 06
Post-Market Monitoring
Weight 12%38
+4.6
- 07
Customer Documentation
Weight 8%64
+5.1
§ 02 — Strongest · weakest
Strongest category
Article 11 Technical Documentation
Raw score 58 · contributes 11.6 to total.
Weakest category
FRIA Support
Raw score 30 · contributes 4.5 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
Spark Hire, Inc. launched in February 2012 (founder/CEO Josh Tolan) and is headquartered in Northbrook, Illinois, US. Originally the #1-rated video interviewing tool, it expanded into a full hiring suite in 2023 by acquiring Comeet (an applicant tracking system) and Chally (a predictive behavioral assessment), now serving 7,000+ organizations through its Meet (video/assessment) and Recruit (ATS) products. Its AI layer includes AI Video Review, which scores one-way video interview submissions against behavioral factors, and AI Resume Review, which scores and ranks resumes 1-5 against recruiter-defined criteria.
Regulatory exposure
Unlike human-only video tools, Spark Hire is squarely an automated employment decision tool: AI Video Review auto-scores video submissions against six behavioral factors with a weighted overall score, and AI Resume Review ranks candidates, so deployments in NYC trigger Local Law 144 and high-risk obligations under the EU AI Act. Spark Hire has invested in the fairness side of this: it runs third-party bias audits on both AI tools, publishes 'bias audit compliance reports' (e.g., AI Resume Review tested on 14,053 candidates across 12 jobs, with a final 5,154-candidate sample, applying the four-fifths rule), reports no adverse impact, redacts candidate name and location, excludes EEOC demographic data from scoring, and uses explicit 'no black box' in-product explanations. It holds SOC 2 Type II, complies with GDPR/CCPA, offers a DPA, and lists subprocessors (including OpenAI). However, it names no auditor firm, publishes no FRIA/Article 27 deployer guidance, and does not reference NYC LL 144 or the EU AI Act by name in customer materials.
Path to a higher score
Spark Hire already outperforms most peers on bias-audit transparency and explainability. To raise its score it should name the independent auditor(s) and publish full, downloadable audit reports with impact ratios and dates for two consecutive years, add explicit NYC LL 144 deployer guidance (candidate notice templates, where to post summaries) and EU AI Act Article 27 FRIA support for deployers, release a model/system card or Article 11-style technical pack and pursue ISO 42001, and stand up a public post-market monitoring surface (status page, model-update changelog, security/incident contact) rather than relying on internal SOC 2 controls alone.
Conflicts of interest
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Casework has no commercial relationship with this vendor.