§ The result
Pymetrics (Harver Games) takes the total, Employment Hero takes more of the criteria.
Pymetrics (Harver Games) scores 56 and Employment Hero 48 under rubric v1.0, an 8-point gap across the Assessment and Screening cohorts. Employment Hero leads more of the criteria than Pymetrics (Harver Games) — 4 to 3 — but Bias Audit Transparency, which Pymetrics (Harver Games) leads, carries 18% of the rubric, and the weighted sum still falls to Pymetrics (Harver Games). One criterion, Bias Audit Transparency, is both the widest raw gap (Employment Hero 35, Pymetrics (Harver Games) 80) and the heaviest weighted swing, and at 18% weight it makes up 64% of the weighted advantage Pymetrics (Harver Games) holds across the 3 criteria it leads.
Vendor profile
Employment Hero
SmartMatch is Employment Hero's AI candidate-matching engine. Since March 2026 it has been surfaced through Find Talent and ATS applicant scoring, where it ranks job seekers and applicants against employer criteria and feeds a Recruitment Agent that auto-shortlists candidates and runs AI video and phone screening interviews.
Vendor profile
Pymetrics (Harver Games)
Behavioral assessment using browser-based "games" that infer cognitive and emotional traits. Acquired by Harver in 2022 and folded into the Harver Games product line.
§ The record
Employment Hero is filed under Screening AI, Pymetrics (Harver Games) under Assessment AI. They record no secondary category in common.
Both are in scope of EU AI Act, NYC LL 144, Colorado AI Act, Illinois HB 3773 and Mobley v. Workday.
| Record | Employment Hero | Pymetrics (Harver Games) |
|---|---|---|
| Price tier | Mid | Enterprise |
| Headquarters | AU | US |
| Founded | 2014 | 2013 |
§ What decides it
The criteria that move the gap, heaviest swing first.
18% weight · 46% of the movement so far
Bias Audit Transparency
Employment Hero 35 · Pymetrics (Harver Games) 80
8.1 weighted points to Pymetrics (Harver Games)
20% weight · 69% of the movement so far
Article 11 Technical Documentation
Employment Hero 50 · Pymetrics (Harver Games) 70
4.0 weighted points to Pymetrics (Harver Games)
12% weight · 79% of the movement so far
Post-Market Monitoring
Employment Hero 50 · Pymetrics (Harver Games) 35
1.8 weighted points to Employment Hero
12% weight · 87% of the movement so far
Human Oversight Design
Employment Hero 62 · Pymetrics (Harver Games) 50
1.4 weighted points to Employment Hero
15% weight · 93% of the movement so far
FRIA Support
Employment Hero 32 · Pymetrics (Harver Games) 25
1.1 weighted points to Employment Hero
15% weight · 97% of the movement so far
Data Governance Disclosure
Employment Hero 56 · Pymetrics (Harver Games) 60
0.6 weighted points to Pymetrics (Harver Games)
8% weight · 100% of the movement so far
Customer Documentation
Employment Hero 62 · Pymetrics (Harver Games) 55
0.6 weighted points to Employment Hero
Weighted delta is the raw difference times the criterion weight, so the 7 figures above sum to -7.8 — the difference between the two totals before either is rounded. Shares are of 17.5 points of movement counted without direction. The table below rounds each side to a whole number first, so its Δ raw total reads -8 beside that -7.8.
§ Category-by-category
Raw score per criterion, with weighted delta.
Δ is Employment Hero minus Pymetrics (Harver Games).
| Category | Weight | Employment Hero | Pymetrics (Harver Games) | Δ raw | Δ weighted |
|---|---|---|---|---|---|
| Article 11 Technical Documentation | 20% | 50 | 70 | -20 | -4.0 |
| Bias Audit Transparency | 18% | 35 | 80 | -45 | -8.1 |
| FRIA Support | 15% | 32 | 25 | +7 | +1.1 |
| Data Governance Disclosure | 15% | 56 | 60 | -4 | -0.6 |
| Human Oversight Design | 12% | 62 | 50 | +12 | +1.4 |
| Post-Market Monitoring | 12% | 50 | 35 | +15 | +1.8 |
| Customer Documentation | 8% | 62 | 55 | +7 | +0.6 |
| Total | 100% | 48 (F) | 56 (F) | -8 | -7.8 |
§ Evidence
Cited sources and documented absences, criterion by criterion.
An absence is a finding, not a blank: the reviewer looked for a named artefact and recorded that it is not located. Where a source sits is a fact about hosting only.
| Criterion | Weight | Employment Hero | Pymetrics (Harver Games) | ||||
|---|---|---|---|---|---|---|---|
| Cited | Absences | Audit / hosting | Cited | Absences | Audit / hosting | ||
| Article 11 Technical Documentation | 20% | 4 | 1 | Sources on the vendor's own domain | 2 | 0 | Sources on a separate domain |
| Bias Audit Transparency | 18% | 3 | 1 | — | 2 | 0 | Audit reportSources on the vendor's own domainSources on a separate domain |
| FRIA Support | 15% | 2 | 1 | Sources on the vendor's own domain | 0 | 1 | — |
| Data Governance Disclosure | 15% | 6 | 0 | Sources on the vendor's own domain | 1 | 0 | Sources on a separate domain |
| Human Oversight Design | 12% | 7 | 0 | Sources on the vendor's own domain | 1 | 0 | Sources on the vendor's own domain |
| Post-Market Monitoring | 12% | 5 | 0 | Sources on the vendor's own domain | 1 | 1 | — |
| Customer Documentation | 8% | 4 | 1 | Sources on the vendor's own domain | 2 | 0 | Sources on the vendor's own domainSources on a separate domain |
| All criteria | 100% | 31 | 4 | Sources on the vendor's own domain | 9 | 2 | Audit reportSources on the vendor's own domainSources on a separate domain |
Employment Hero has 35 evidence rows across 7 of 7 criteria — 31 with a source URL, 4 documented absences; Pymetrics (Harver Games) has 11 evidence rows across 7 of 7 criteria — 9 with a source URL, 2 documented absences; some documentation or audit rows for Pymetrics (Harver Games) sit on a domain separate from the vendor's own site.
Provenance
The scores above are documented by 46 evidence rows on file for these two vendors: 35 for Employment Hero, across 1 distinct source domain, and 11 for Pymetrics (Harver Games), across 3 distinct source domains.
- Rubric
- v1.0
- Employment Hero last reviewed
- September 25, 2026 · HireAIScore editorial team
- Pymetrics (Harver Games) last reviewed
- May 21, 2026 · HireAIScore editorial team
HireAIScore scores are editorial research, not legal advice, and no vendor pays for placement, scoring or removal — see the methodology, conflicts policy and terms.