Maki People
Maki People is a Paris-based AI hiring platform whose core product is pre-hire assessment and screening of candidate skills, behaviors, and situational judgement at high volume, extended with conversational AI agents for screening, interview support, and scheduling.
HireAIScore rates Maki People 62 out of 100 (grade D, Concerning) under rubric v1.0, last reviewed July 17, 2026. Maki People ranks 1 of 49 vendors rated in Assessment AI, against a category average of 48. That score is drawn from 22 evidence items across 7 rubric criteria for Maki People — 17 with a cited source, 5 recording that nothing was located.
Some company details provided by Maki People · updated July 31, 2026
§ 01 - Company facts
- Legal name
- MakiPeople SAS
- Founded
- 2021
- Headquarters
- France · FR
- Pricing tier
- Enterprise
- Market side
- Employer-side (AEDT)
- Categories
- AssessmentScreeningScheduling
- Website
- makipeople.com
These are company details, not findings. They are editable by a verified representative and carry no weight in the score, which is built only from the cited evidence below. Some of them were provided by Maki People and last updated July 31, 2026.
§ 02 - Score breakdown
§ Score breakdown
Category scoring
Weighted contribution shown to the right of each bar.
- 01
Article 11 Technical Documentation
Weight 20%62
+12.4 · category avg 53
- 02
Bias Audit Transparency
Weight 18%80
+14.4 · category avg 47
- 03
FRIA Support
Weight 15%57
+8.5 · category avg 32
- 04
Data Governance Disclosure
Weight 15%62
+9.3 · category avg 55
- 05
Human Oversight Design
Weight 12%50
+6.0 · category avg 55
- 06
Post-Market Monitoring
Weight 12%52
+6.2 · category avg 39
- 07
Customer Documentation
Weight 8%70
+5.6 · category avg 59
Category avg is the mean raw score on that criterion across the 49 Assessment AI vendors in scope of this rubric, this one included.
§ 03 - Strongest · weakest
Strongest category
Bias Audit Transparency
Raw score 80 · contributes 14.4 to total.
80 against a 47 category average
Weakest category
Human Oversight Design
Raw score 50 · contributes 6.0 to total.
50 against a 55 category average
§ 04 - Cited evidence
Download diligence record→§ Evidence
Cited per category
Every score is backed by at least one cited piece of evidence.
Evidence ledger
- Items
- 22
- Documentation
- 13
- Audit report
- 2
- Public statement
- 2
- Absence
- 5
- With a source URL
- 17 of 22
- Source hostnames
- 4
- Fewest items
- 3
- Article 11 Technical Documentation
These figures measure how thoroughly Maki People was reviewed, not how Maki People performed — an absence row, recording that nothing was located, is counted like any other item.
Article 11 Technical Documentation
3 items62
- DocumentationCaptured Jul 17, 2026
Science page documents IRT modeling, DIF/item-bias and 80%-rule Adverse Impact checks, and BARS rubric-based explainable scoring described as avoiding 'black-box reasoning.'
- DocumentationCaptured Jul 17, 2026
Trust Center lists EU AI Act 'Instructions for Use', an 'AI Governance Policy', an 'AI Logging and Record-Keeping Policy', an ISO 27001 Statement of Applicability, and a Technical documentation section (infrastructure/network diagram), provided to customers on request (access-gated).
- AbsenceCaptured Jul 17, 2026
No full public Annex IV-aligned technical pack or model/system card is published and ISO 42001 is not held; the deeper technical documentation is access-gated rather than openly downloadable.
Bias Audit Transparency
3 items80
- Audit reportCaptured Jul 17, 2026
Publicly viewable Holistic AI NYC LL 144 bias audit of 'Mochi' (voice screening): 3,920-interview factorial design, standalone and intersectional impact ratios by sex and 7 EEO-1 race/ethnicity groups (≈0.85–1.00), decision-support framing. Maki dates its latest Holistic AI audit to March 2026.
- Audit reportCaptured Jul 17, 2026
Publicly viewable Holistic AI NYC LL 144 bias audit of 'Shiro' (BARS-based assessment engine), a second independent audit report linked from the Trust Center's AI section.
- DocumentationCaptured Jul 17, 2026
Science page corroborates the audit posture: DIF and Adverse Impact (80% rule) checks at build-time and continuously, with independent validation.
FRIA Support
3 items57
- DocumentationCaptured Jul 17, 2026
'DPIA - Summary for MakiPeople customers' published on the Trust Center (access-gated); its description states it gives customers summary information about Maki's latest Data Protection Impact Assessment for the hiring platform - deployer-facing input for an Article 27 FRIA.
- Public statementCaptured Jul 17, 2026
Public Maki webinar, 'Using AI in HR: what you need to know about the EU AI Act,' aimed at helping deployers understand their EU AI Act obligations.
- AbsenceCaptured Jul 17, 2026
No dedicated Article 27 FRIA template is provided; the DPIA summary and Instructions for Use are access-gated, so the deployer-facing FRIA inputs are available on request rather than openly published.
Data Governance Disclosure
4 items62
- DocumentationCaptured Jul 17, 2026
Trust Center hosts a publicly viewable subprocessor list ('MakiPeople - List of personal data subprocessors', dated 2026-03-30) plus an AI Governance Policy, Data Management Policy and Cryptography Policy (access-gated).
- DocumentationCaptured Jul 17, 2026
Security page states ISO 27001 certification, GDPR/CCPA compliance, end-to-end encryption in transit and at rest, GDPR-compliant cloud data centers, and data minimization/purpose limitation.
- DocumentationCaptured Jul 17, 2026
Privacy policy defines controller/processor roles, a 2-year post-login retention period, candidate GDPR rights, and a privacy@makipeople.com contact.
- AbsenceCaptured Jul 17, 2026
No SOC 2 or ISO 42001; production-model training-data provenance and whether candidate data trains models are not fully disclosed.
Human Oversight Design
3 items50
- DocumentationCaptured Jun 7, 2026
Homepage describes consolidated hiring-recommendation decision cards with scoring, risk flags and audit trails, with recruiters making the final call (decision-support framing).
- Public statementCaptured Jun 7, 2026
Privacy policy states Maki's services 'do not constitute automated decision making that significantly affects candidates,' framing human recruiters as the deciders.
- DocumentationCaptured Jun 7, 2026
Science page describes rubric-based and BARS-anchored explainable scoring intended to let users 'understand how results are produced,' supporting human review, though without documented per-jurisdiction override toggles or audit-log controls.
Post-Market Monitoring
3 items52
- DocumentationCaptured Jul 17, 2026
Trust Center lists an Incident Management Policy, GDPR Breach Notification Procedure, Data Breach Procedure, an AI Logging and Record-Keeping Policy, and a Business Continuity/DR plan with a documented 2024 recovery test (access-gated) - a defined incident channel and model-change record-keeping.
- DocumentationCaptured Jul 17, 2026
Science page describes continuous monitoring for model drift and bias plus ongoing psychometric analyses by an in-house science team.
- AbsenceCaptured Jul 17, 2026
No public status page or public model-update changelog was found; the incident and record-keeping materials are access-gated rather than published.
Customer Documentation
3 items70
- DocumentationCaptured Jul 17, 2026
Actively maintained Trust Center (Vanta) with EU AI Act Instructions for Use, security/privacy/AI policies, a DPIA customer summary, a publicly viewable subprocessor list, and certifications across seven sections.
- DocumentationCaptured Jul 17, 2026
Dedicated Security & Trust page consolidates certifications, fairness, EU AI Act and LL 144 claims, and links to the Trust Center.
- AbsenceCaptured Jul 17, 2026
No standalone downloadable DPA (per Maki, the DPA is appended to every Master Service Agreement by default); the NYC LL 144 deployer/compliance deck is customer-only, not public.
§ 05 - Editorial notes
Company overview
Maki (Maki SAS) is a Paris, France-based AI hiring company founded in 2021 by Maxime Legardez, Paul-Louis Caylar, and Benjamin Chino. Its core product is a science-backed pre-hire assessment and screening platform spanning hundreds of skills, voice screening in 45+ languages, and behavioral/situational evaluations, now wrapped in conversational AI agents that also cover interview support and candidate self-scheduling. The company raised a ~€27.8M Series A (led by Blossom Capital) in early 2025, reports rapid enterprise growth, and counts Fortune 2000 clients such as H&M, BNP Paribas, Capgemini, PwC and Deloitte. Pricing is credit-based with custom enterprise quotes, placing it firmly in the enterprise tier.
Regulatory exposure
Maki has heavy exposure to all major AI-hiring regimes. As an assessment/screening tool that scores candidates, it is an EU AI Act Annex III high-risk system, and its Paris HQ plus large EU client base put it squarely under EU jurisdiction; it also markets to US employers, triggering NYC Local Law 144 AEDT bias-audit duties and emerging Illinois/Colorado obligations. Maki backs its 'EU AI Act alignment' and 'NYC Local Law 144 bias-audited assessments' claims with two publicly viewable, independent 2026 Holistic AI LL 144 audits - for its Shiro assessment engine and its Mochi voice-screening tool - each disclosing the AEDT description, methodology, and full impact-ratio tables, alongside ongoing DIF and Adverse Impact (80% rule) testing. Documentation depth still trails the strongest peers: it holds no ISO 42001, publishes no full Annex IV technical pack or model card, and much of its Trust Center (Instructions for Use, the DPIA summary, the AI governance policy) is available to customers on request rather than openly downloadable. Its privacy policy also disclaims GDPR Article 22 automated decision-making - a framing tension for a high-risk scoring tool.
Path to a higher score
With independent LL 144 audits and a populated Vanta trust center now in place, the remaining gains are about depth and openness rather than existence. The highest-leverage moves: pursue ISO 42001 and/or a SOC 2 report; publish a full Annex IV-aligned technical pack or model card rather than gating it; keep the bias audits on a named, recurring cadence and complement synthetic-data testing with live applicant-flow results; and add a public status page and model-update changelog for post-market monitoring. Un-gating the deployer-facing EU AI Act materials - Instructions for Use, the DPIA/FRIA summary, and an explicit Article 27 deployer guide - plus offering a self-service DPA would lift the FRIA, customer-documentation, and data-governance scores that a request-only posture currently caps. Documenting concrete in-product override and audit-log controls, rather than generic 'recruiters stay in the loop' language, remains the clearest path to a higher human-oversight score.
§ Regulatory frame
What applies to assessment ai.
Assessment is the most-regulated surface in AI hiring. NYC LL 144, EEOC and OFCCP frameworks, Illinois HB 3773, and EU AI Act Annex III §4 all apply, with overlap on bias-audit obligations.
§ Compare
Build any comparison→Maki People against its nearest-scoring peers.
In Assessment AI.
§ Others rated in Assessment AI
All assessment vendors→Ranked 1 of 49 by weighted total under rubric v1.0. The ordering is arithmetic on the rubric and carries no view on which tool suits a given hiring process.
- 01Maki PeopleThis profile62D
- 02HiPeople61D
- 03Alva Labs61D
Conflicts of interest
No vendor pays for placement, scoring, or removal. Casework - the consulting firm that operates this directory - provides paid services to some vendors. Any active or recent (within 24 months) commercial relationship is disclosed on the affected vendor profile and the review is reassigned to an independent reviewer. See the full policy on About.
Casework has no commercial relationship with this vendor.