Side-by-side · Rubric v1.0
Fetcher vs SHL
Side-by-side scores and evidence under the HireAIScore rubric v1.0. Click a vendor name to jump to the full profile and the cited evidence behind each score.
Export comparison (CSV)Pro→Vendor profile
Fetcher
AI-powered candidate sourcing and outbound recruiting platform that automates passive and active talent sourcing, personalized email outreach, and inbound applicant screening for corporate recruiting teams.
Vendor profile
SHL
SHL is a global talent-assessment provider offering AI-scored cognitive ability, personality, behavioral, situational-judgement, coding, and video-interview assessments that score, rank, and recommend candidates for hiring and development decisions.
§ Category-by-category
Raw score per criterion, with weighted delta.
Δ is Fetcher minus SHL.
| Category | Weight | Fetcher | SHL | Δ |
|---|---|---|---|---|
| Article 11 Technical Documentation | 20% | 27 | 60 | -33 |
| Bias Audit Transparency | 18% | 28 | 50 | -22 |
| FRIA Support | 15% | 25 | 30 | -5 |
| Data Governance Disclosure | 15% | 55 | 58 | -3 |
| Human Oversight Design | 12% | 52 | 58 | -6 |
| Post-Market Monitoring | 12% | 35 | 40 | -5 |
| Customer Documentation | 8% | 55 | 60 | -5 |
| Total | 100% | 37 (F) | 51 (F) | -14 |
§ Evidence summary
Evidence count
Fetcher
19 rows across 7 categories
- absence
- 6
- public statement
- 3
- documentation
- 10
Evidence count
SHL
19 rows across 7 categories
- documentation
- 15
- absence
- 4