§ The result
Pymetrics (Harver Games) takes the total, eSkill takes more of the criteria.
The Assessment cohort pairing of Pymetrics (Harver Games) and eSkill comes out 56 to 41 under rubric v1.0, a 15-point lead for Pymetrics (Harver Games). eSkill leads more of the criteria, 4 against 3 for Pymetrics (Harver Games), yet Pymetrics (Harver Games) takes Bias Audit Transparency, which carries 18% of the rubric, and the weighted sum with it. Bias Audit Transparency is both the widest raw gap and the heaviest weighted swing — eSkill 25, Pymetrics (Harver Games) 80 — and at an 18% weight it carries 61% of the weighted advantage Pymetrics (Harver Games) holds across the 3 criteria on that side of the table.
Vendor profile
eSkill
eSkill is a pre-employment testing platform with auto-scored skills, cognitive and behavioral tests and human-rated one-way video interviews, plus an optional Proctorio-powered AI proctoring add-on that gives each candidate a suspicion score and a Claude-based "Linea" layer that drafts assessments from job descriptions.
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
eSkill and Pymetrics (Harver Games) are both filed under Assessment AI. They record no secondary category in common.
Both are in scope of NYC LL 144, Illinois HB 3773, EU AI Act, Mobley v. Workday and Colorado AI Act.
| Record | eSkill | Pymetrics (Harver Games) |
|---|---|---|
| Price tier | Mid | Enterprise |
| Headquarters | US | US |
| Founded | 2003 | 2013 |
§ What decides it
The criteria that move the gap, heaviest swing first.
18% weight · 55% of the movement so far
Bias Audit Transparency
eSkill 25 · Pymetrics (Harver Games) 80
9.9 weighted points to Pymetrics (Harver Games)
20% weight · 79% of the movement so far
Article 11 Technical Documentation
eSkill 48 · Pymetrics (Harver Games) 70
4.4 weighted points to Pymetrics (Harver Games)
15% weight · 90% of the movement so far
Data Governance Disclosure
eSkill 47 · Pymetrics (Harver Games) 60
1.9 weighted points to Pymetrics (Harver Games)
12% weight · 95% of the movement so far
Human Oversight Design
eSkill 57 · Pymetrics (Harver Games) 50
0.8 weighted points to eSkill
15% weight · 99% of the movement so far
FRIA Support
eSkill 30 · Pymetrics (Harver Games) 25
0.8 weighted points to eSkill
12% weight · 100% of the movement so far
Post-Market Monitoring
eSkill 36 · Pymetrics (Harver Games) 35
0.1 weighted points to eSkill
8% weight · 100% of the movement so far
Customer Documentation
eSkill 56 · Pymetrics (Harver Games) 55
0.1 weighted points to eSkill
Weighted delta is the raw difference times the criterion weight, so the 7 figures above sum to -14.5 — the difference between the two totals before either is rounded. Shares are of 18.0 points of movement counted without direction. The table below rounds each side to a whole number first, so its Δ raw total reads -15 beside that -14.5.
§ Category-by-category
Raw score per criterion, with weighted delta.
Δ is eSkill minus Pymetrics (Harver Games).
| Category | Weight | eSkill | Pymetrics (Harver Games) | Δ raw | Δ weighted |
|---|---|---|---|---|---|
| Article 11 Technical Documentation | 20% | 48 | 70 | -22 | -4.4 |
| Bias Audit Transparency | 18% | 25 | 80 | -55 | -9.9 |
| FRIA Support | 15% | 30 | 25 | +5 | +0.8 |
| Data Governance Disclosure | 15% | 47 | 60 | -13 | -1.9 |
| Human Oversight Design | 12% | 57 | 50 | +7 | +0.8 |
| Post-Market Monitoring | 12% | 36 | 35 | +1 | +0.1 |
| Customer Documentation | 8% | 56 | 55 | +1 | +0.1 |
| Total | 100% | 41 (F) | 56 (F) | -15 | -14.5 |
§ 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 | eSkill | Pymetrics (Harver Games) | ||||
|---|---|---|---|---|---|---|---|
| Cited | Absences | Audit / hosting | Cited | Absences | Audit / hosting | ||
| Article 11 Technical Documentation | 20% | 3 | 1 | Sources on the vendor's own domainSources on a separate domain | 2 | 0 | Sources on a separate domain |
| Bias Audit Transparency | 18% | 2 | 1 | Sources on a separate domain | 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 domainSources on a separate domain | 0 | 1 | — |
| Data Governance Disclosure | 15% | 4 | 1 | Sources on the vendor's own domain | 1 | 0 | Sources on a separate domain |
| Human Oversight Design | 12% | 5 | 0 | Sources on the vendor's own domain | 1 | 0 | Sources on the vendor's own domain |
| Post-Market Monitoring | 12% | 4 | 1 | 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% | 24 | 6 | Sources on the vendor's own domainSources on a separate domain | 9 | 2 | Audit reportSources on the vendor's own domainSources on a separate domain |
eSkill has 30 evidence rows across 7 of 7 criteria — 24 with a source URL, 6 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 eSkill and Pymetrics (Harver Games) sit on a domain separate from the vendor's own site.
Provenance
The scores above are documented by 41 evidence rows on file for these two vendors: 30 for eSkill, across 2 distinct source domains, and 11 for Pymetrics (Harver Games), across 3 distinct source domains.
- Rubric
- v1.0
- eSkill 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.
§ Where next