Pinpoint
Pinpoint is an applicant tracking system for in-house talent teams that layers AI-assisted screening onto core hiring workflows — candidate match scores, AI filters, anonymized screening, an interview notetaker, and a hiring copilot for outreach and rejections.
§ 01 — Score breakdown
§ Score breakdown
Category scoring
Weighted contribution shown to the right of each bar.
- 01
Article 11 Technical Documentation
Weight 20%72
+14.4
- 02
Bias Audit Transparency
Weight 18%42
+7.6
- 03
FRIA Support
Weight 15%38
+5.7
- 04
Data Governance Disclosure
Weight 15%68
+10.2
- 05
Human Oversight Design
Weight 12%64
+7.7
- 06
Post-Market Monitoring
Weight 12%52
+6.2
- 07
Customer Documentation
Weight 8%66
+5.3
§ 02 — Strongest · weakest
Strongest category
Article 11 Technical Documentation
Raw score 72 · contributes 14.4 to total.
Weakest category
FRIA Support
Raw score 38 · contributes 5.7 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
Pinpoint is a Jersey-headquartered (St Helier) applicant tracking system founded in 2017 by Tom Hacquoil, Tom Luce and Bill Rogers and operated under the Infuse Group. It serves 500+ in-house talent teams across 50+ countries with customers split roughly between UK/Europe and the US, and layers eight AI features (AI Match Score, AI Candidate Filters, Anonymized Screening, AI Notetaker, AI Hiring Copilot, AI Candidate Companion, AI Criteria Checklist and an MCP server) on top of a core ATS. In late 2025 it became one of the first ATSs to achieve ISO/IEC 42001 certification for its AI management system.
Regulatory exposure
As an ATS whose AI Match Score and screening features rank and score candidates, Pinpoint falls within scope of NYC Local Law 144 (as an AEDT provider/deployer tool), the EU AI Act's high-risk employment provisions, and Illinois HB 3773, Colorado SB 24-205 and California FEHA. Pinpoint publicly positions its mandatory human-in-the-loop design as aligning with GDPR Article 22 and EU AI Act human-oversight requirements and provides candidate-notification, disclosure and audit-log tooling, but it has not published an independent LL144-style bias audit and offers no FRIA template. Its ISO 42001 certification covers internal AI governance and fairness monitoring (AI Impact Assessments) rather than an external, downloadable fairness audit.
Path to a higher score
The clearest gap is bias-audit transparency: commissioning and publicly posting an independent, intersectional bias audit (e.g. Warden AI, BABL AI, Holistic AI) with named auditor and date — ideally across two consecutive years — would move Pinpoint out of the 'referenced but none downloadable' tier. Publishing an EU AI Act Article 27 FRIA template / deployer-obligation guide, a per-feature instructions-for-use or model-card pack, and a public sub-processor list and standard DPA would lift the Article 11, FRIA and data-governance scores further.
Conflicts of interest
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