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Factorial vs SHL

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§ The result

SHL leads Factorial by 5 points.

Under rubric v1.0, SHL, filed under Assessment, finishes on 51 and Factorial, filed under ATS-integrated, on 46, 5 points apart. SHL leads 3 of the 7 criteria, including Bias Audit Transparency, while Factorial leads 2, including Post-Market Monitoring, and 2 are level. Bias Audit Transparency is both the widest raw gap and the heaviest weighted swing — Factorial 25, SHL 50 — and at an 18% weight it carries 72% of the weighted advantage SHL holds across the 3 criteria on that side of the table.

§ The record

Factorial is filed under ATS-integrated AI, SHL under Assessment AI. They also share 1 secondary category: Screening.

Both are in scope of EU AI Act, NYC LL 144, Colorado AI Act and Illinois HB 3773. Only SHL is in scope of Mobley v. Workday.

RecordFactorialSHL
Price tierLowEnterprise
HeadquartersESGB
Founded20161977

§ What decides it

The criteria that move the gap, heaviest swing first.

  1. 18% weight · 57% of the movement so far

    Bias Audit Transparency

    Factorial 25 · SHL 50

    4.5 weighted points to SHL

  2. 20% weight · 77% of the movement so far

    Article 11 Technical Documentation

    Factorial 52 · SHL 60

    1.6 weighted points to SHL

  3. 12% weight · 89% of the movement so far

    Post-Market Monitoring

    Factorial 48 · SHL 40

    1.0 weighted points to Factorial

  4. 15% weight · 98% of the movement so far

    FRIA Support

    Factorial 35 · SHL 30

    0.8 weighted points to Factorial

  5. 15% weight · 100% of the movement so far

    Data Governance Disclosure

    Factorial 57 · SHL 58

    0.1 weighted points to SHL

Weighted delta is the raw difference times the criterion weight, so the 5 figures above sum to -4.5 — the difference between the two totals before either is rounded. Shares are of 8.0 points of movement counted without direction. The table below rounds each side to a whole number first, so its Δ raw total reads -5 beside that -4.5.

§ Category-by-category

Raw score per criterion, with weighted delta.

Δ is Factorial minus SHL.

CategoryWeightFactorialSHLΔ rawΔ weighted
Article 11 Technical Documentation20%5260-8-1.6
Bias Audit Transparency18%2550-25-4.5
FRIA Support15%3530+5+0.8
Data Governance Disclosure15%5758-1-0.1
Human Oversight Design12%5858--
Post-Market Monitoring12%4840+8+1.0
Customer Documentation8%6060--
Total100%46 (F)51 (F)-5-4.5

§ 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.

CriterionWeightFactorialSHL
CitedAbsencesAudit / hostingCitedAbsencesAudit / hosting
Article 11 Technical Documentation20%41Sources on the vendor's own domain21Sources on the vendor's own domain
Bias Audit Transparency18%31Sources on the vendor's own domain21Sources on the vendor's own domain
FRIA Support15%41Sources on the vendor's own domain11Sources on the vendor's own domain
Data Governance Disclosure15%41Audit reportSources on the vendor's own domain30Sources on the vendor's own domain
Human Oversight Design12%41Sources on the vendor's own domain20Sources on the vendor's own domain
Post-Market Monitoring12%41Sources on the vendor's own domain21Sources on the vendor's own domain
Customer Documentation8%41Sources on the vendor's own domain30Sources on the vendor's own domain
All criteria100%277Audit reportSources on the vendor's own domain154Sources on the vendor's own domain

Factorial has 34 evidence rows across 7 of 7 criteria — 27 with a source URL, 7 documented absences; SHL has 19 evidence rows across 7 of 7 criteria — 15 with a source URL, 4 documented absences.

Provenance

The scores above are documented by 53 evidence rows on file for these two vendors: 34 for Factorial, across 3 distinct source domains, and 19 for SHL, across 1 distinct source domain.

Rubric
v1.0
Factorial last reviewed
September 25, 2026 · HireAIScore editorial team
SHL last reviewed
June 7, 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.