§ The result
Pymetrics (Harver Games) takes the total, Plum takes more of the criteria.
Within the Assessment cohort, Pymetrics (Harver Games) edges Plum by 2 points under rubric v1.0, 56 to 54. Plum leads more of the criteria than Pymetrics (Harver Games) — 5 to 2 — but Article 11 Technical Documentation, which Pymetrics (Harver Games) leads, carries 20% of the rubric, and the weighted sum still falls to Pymetrics (Harver Games). Article 11 Technical Documentation is both the widest raw gap and the heaviest weighted swing — Plum 58, Pymetrics (Harver Games) 70 — and at a 20% weight it carries 73% of the weighted advantage Pymetrics (Harver Games) holds across the 2 criteria on that side of the table.
Vendor profile
Plum
Plum is a pre-employment talent assessment platform that uses a Five-Factor (Big Five) psychometric Discovery Survey and a Talent Match model to score and rank candidates on behavioral "durable skills" for role fit, hiring, and development.
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
Plum 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, Colorado AI Act and Mobley v. Workday.
| Record | Plum | Pymetrics (Harver Games) |
|---|---|---|
| Price tier | Mid | Enterprise |
| Headquarters | CA | US |
| Founded | 2012 | 2013 |
§ What decides it
The criteria that move the gap, heaviest swing first.
20% weight · 45% of the movement so far
Article 11 Technical Documentation
Plum 58 · Pymetrics (Harver Games) 70
2.4 weighted points to Pymetrics (Harver Games)
15% weight · 62% of the movement so far
Data Governance Disclosure
Plum 54 · Pymetrics (Harver Games) 60
0.9 weighted points to Pymetrics (Harver Games)
8% weight · 74% of the movement so far
Customer Documentation
Plum 63 · Pymetrics (Harver Games) 55
0.6 weighted points to Plum
18% weight · 85% of the movement so far
Bias Audit Transparency
Plum 83 · Pymetrics (Harver Games) 80
0.5 weighted points to Plum
15% weight · 93% of the movement so far
FRIA Support
Plum 28 · Pymetrics (Harver Games) 25
0.4 weighted points to Plum
12% weight · 98% of the movement so far
Human Oversight Design
Plum 52 · Pymetrics (Harver Games) 50
0.2 weighted points to Plum
12% weight · 100% of the movement so far
Post-Market Monitoring
Plum 36 · Pymetrics (Harver Games) 35
0.1 weighted points to Plum
Weighted delta is the raw difference times the criterion weight, so the 7 figures above sum to -1.3 — the difference between the two totals before either is rounded. Shares are of 5.3 points of movement counted without direction. The table below rounds each side to a whole number first, so its Δ raw total reads -2 beside that -1.3.
§ Category-by-category
Raw score per criterion, with weighted delta.
Δ is Plum minus Pymetrics (Harver Games).
| Category | Weight | Plum | Pymetrics (Harver Games) | Δ raw | Δ weighted |
|---|---|---|---|---|---|
| Article 11 Technical Documentation | 20% | 58 | 70 | -12 | -2.4 |
| Bias Audit Transparency | 18% | 83 | 80 | +3 | +0.5 |
| FRIA Support | 15% | 28 | 25 | +3 | +0.4 |
| Data Governance Disclosure | 15% | 54 | 60 | -6 | -0.9 |
| Human Oversight Design | 12% | 52 | 50 | +2 | +0.2 |
| Post-Market Monitoring | 12% | 36 | 35 | +1 | +0.1 |
| Customer Documentation | 8% | 63 | 55 | +8 | +0.6 |
| Total | 100% | 54 (F) | 56 (F) | -2 | -1.3 |
§ 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 | Plum | Pymetrics (Harver Games) | ||||
|---|---|---|---|---|---|---|---|
| Cited | Absences | Audit / hosting | Cited | Absences | Audit / hosting | ||
| Article 11 Technical Documentation | 20% | 3 | 0 | Sources on the vendor's own domain | 2 | 0 | Sources on a separate domain |
| Bias Audit Transparency | 18% | 3 | 0 | Audit reportSources on the vendor's own domain | 2 | 0 | Audit reportSources on the vendor's own domainSources on a separate domain |
| FRIA Support | 15% | 0 | 1 | — | 0 | 1 | — |
| Data Governance Disclosure | 15% | 2 | 1 | Sources on the vendor's own domain | 1 | 0 | Sources on a separate domain |
| Human Oversight Design | 12% | 2 | 1 | Audit reportSources on the vendor's own domain | 1 | 0 | Sources on the vendor's own domain |
| Post-Market Monitoring | 12% | 2 | 1 | Sources on the vendor's own domain | 1 | 1 | — |
| Customer Documentation | 8% | 3 | 0 | Sources on the vendor's own domain | 2 | 0 | Sources on the vendor's own domainSources on a separate domain |
| All criteria | 100% | 15 | 4 | Audit reportSources on the vendor's own domain | 9 | 2 | Audit reportSources on the vendor's own domainSources on a separate domain |
Plum has 19 evidence rows across 7 of 7 criteria — 15 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 30 evidence rows on file for these two vendors: 19 for Plum, across 1 distinct source domain, and 11 for Pymetrics (Harver Games), across 3 distinct source domains.
- Rubric
- v1.0
- Plum last reviewed
- June 7, 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