HiringBranch
HiringBranch is an AI skills-assessment platform that measures 50+ communication and soft skills from candidates' open-ended, conversational job-simulation responses (text and voice) to screen and rank applicants for customer-facing roles.
HireAIScore rates HiringBranch 52 out of 100 (grade F, Substantial gaps) under rubric v1.0, last reviewed July 17, 2026. HiringBranch ranks 16 of 49 vendors rated in Assessment AI, against a category average of 48. That score is drawn from 19 evidence items across 7 rubric criteria for HiringBranch — 13 with a cited source, 6 recording that nothing was located.
§ 01 - Company facts
- Legal name
- HiringBranch (LearningBranch Inc.)
- Founded
- 2014
- Headquarters
- Canada · CA
- Pricing tier
- Enterprise
- Market side
- Employer-side (AEDT)
- Categories
- AssessmentScreening
- Website
- hiringbranch.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.
§ 02 - Score breakdown
§ Score breakdown
Category scoring
Weighted contribution shown to the right of each bar.
- 01
Article 11 Technical Documentation
Weight 20%60
+12.0 · category avg 53
- 02
Bias Audit Transparency
Weight 18%60
+10.8 · category avg 47
- 03
FRIA Support
Weight 15%35
+5.3 · category avg 32
- 04
Data Governance Disclosure
Weight 15%55
+8.3 · category avg 55
- 05
Human Oversight Design
Weight 12%52
+6.2 · category avg 55
- 06
Post-Market Monitoring
Weight 12%40
+4.8 · category avg 39
- 07
Customer Documentation
Weight 8%64
+5.1 · 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
Customer Documentation
Raw score 64 · contributes 5.1 to total.
64 against a 59 category average
Weakest category
FRIA Support
Raw score 35 · contributes 5.3 to total.
35 against a 32 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
- 19
- Documentation
- 11
- Audit report
- 1
- Public statement
- 1
- Absence
- 6
- With a source URL
- 13 of 19
- Source hostnames
- 1
- Fewest items
- 2
- FRIA Support
These figures measure how thoroughly HiringBranch was reviewed, not how HiringBranch performed — an absence row, recording that nothing was located, is counted like any other item.
Article 11 Technical Documentation
3 items60
- DocumentationCaptured Jul 17, 2026
The Ethical AI page describes an AI Governance Framework built on Canada's Algorithmic Impact Assessment, NIST AI RMF, EEOC and EU AI Act high-risk requirements, and explains its Small Language Model and two proprietary algorithms (Soft Skills AI and Intelligibility AI).
- DocumentationCaptured Jul 17, 2026
A public bias report documents the assessment's methodology (impact-ratio metrics, sample construction), functioning as partial technical/explainability documentation.
- AbsenceCaptured Jul 17, 2026
No formal model/system card, ISO 42001 certification, or downloadable technical pack / instructions-for-use was found on /ai, /security, or /legal/additional-policies.
Bias Audit Transparency
3 items60
- Audit reportCaptured Jul 17, 2026
Public BABL AI bias-audit summary reporting gender impact ratios (50.3% of males vs 49.6% of females scored above the sample median) across a 4,718-candidate sample from May to September 2024, concluding the tool satisfies NYC Local Law 144.
- DocumentationCaptured Jul 17, 2026
The Ethical AI page states a third-party AI bias audit was completed by BABL AI and that HiringBranch runs continuous performance and adverse-impact monitoring.
- AbsenceCaptured Jul 17, 2026
The full BABL audit report is not downloadable (only a summary is posted), only one audit year is public, and a further copy is offered only via a 'request audit' / book-a-demo gate.
FRIA Support
2 items35
- DocumentationCaptured Jul 17, 2026
Claims alignment with EU AI Act high-risk system requirements and provides an AI Governance Framework, offering partial governance framing for deployers.
- AbsenceCaptured Jul 17, 2026
No Fundamental Rights Impact Assessment (Article 27) template or explicit EU AI Act deployer-obligation guidance was found on /ai or /legal/additional-policies.
Data Governance Disclosure
3 items55
- DocumentationCaptured Jul 17, 2026
States the system does not collect gender, race, native language, sexual orientation or location and trains only on job-performance data correlated to skills (an explicit exclusion list).
- DocumentationCaptured Jul 17, 2026
Describes SOC 2 Type II certification, encryption, role-based access controls, a SOC 2 Type II report available on request, and GDPR/PIPEDA/PIPA coverage.
- AbsenceCaptured Jul 17, 2026
No ISO 42001 or ISO 27001 certification, subprocessor list, or detailed data-retention schedule was published on the security or legal pages.
Human Oversight Design
2 items52
- DocumentationCaptured Jul 17, 2026
Describes human-oversight processes, decision-support use, and continuous performance and adverse-impact monitoring around the automated scoring.
- AbsenceCaptured Jul 17, 2026
No documented reviewer override controls, per-jurisdiction configuration toggles, or audit-log features were found.
Post-Market Monitoring
3 items40
- DocumentationCaptured Jul 17, 2026
Claims continuous performance and adverse-impact monitoring of the deployed assessment.
- Public statementCaptured Jul 17, 2026
Describes monitoring and incident-response procedures under SOC 2 Type II.
- AbsenceCaptured Jul 17, 2026
No public status/uptime page, model-update changelog, security.txt, or responsible-disclosure/bug-bounty program was found; only a general support email (support@hiringbranch.com) and help center exist.
Customer Documentation
3 items64
- DocumentationCaptured Jul 17, 2026
Full product line pages (screening, hiring assessment, training, skills, AI, security, proctoring) plus industry/role hubs, 15+ ATS integrations, a resources hub, and linked help center and API docs.
- DocumentationCaptured Jul 17, 2026
A public NYC Local Law 144 bias-audit summary that deployers can reference for compliance and candidate-notice obligations.
- DocumentationCaptured Jul 17, 2026
Legal/policy hub linking Privacy Policy (with GDPR section), Terms of Service and Master Service Agreement; no standalone Data Processing Agreement was found.
§ 05 - Editorial notes
Company overview
HiringBranch is a Montreal, Canada based skills-assessment vendor that began as the soft-skills training company LearningBranch in 2014 and rebranded to HiringBranch in 2022 after building a proprietary Small Language Model on more than a decade of training data. Co-founded by CEO Stephane Rivard and President Patricia Macleod, it sells a 'Soft Skills AI' that scores communication, empathy, teamwork and language proficiency from open-ended job-simulation responses, claiming up to 98% scoring accuracy and roughly 1% mis-hire rates. It targets high-volume, customer-facing hiring (contact centers, retail, banking, telecom) for enterprise customers such as Bell Canada, integrates with 15+ HR/ATS systems (Workday, SAP, ADP, Oracle, UKG), and raised a CAD 5M Series A led by Credit Mutuel Equity.
Regulatory exposure
The product is squarely high-risk under EU AI Act Annex III (recruitment and candidate evaluation), an Automated Employment Decision Tool under NYC Local Law 144, and within scope of Illinois and Colorado AI-in-hiring rules; its voice/acoustic analysis of candidate responses also raises heightened data-governance and biometric-adjacent scrutiny. HiringBranch is comparatively strong on the bias-audit dimension: it publishes a public BABL AI audit summary with gender impact ratios and states it satisfies LL 144, and it deliberately excludes demographic inputs (gender, race, native language, orientation, location). Its main gaps are EU-facing: it references EU AI Act high-risk alignment and a NIST/Canada-AIA-based governance framework but provides no Article 27 FRIA template or explicit deployer-obligation guidance, and no ISO 42001, model card, or downloadable technical pack.
Path to a higher score
To raise its score, HiringBranch should make the full BABL AI report downloadable and commit to a visible annual (multi-year) audit cadence, and publish a model card / instructions-for-use and formal explainability statement alongside an ISO 42001 certification. It should add concrete EU AI Act deployer materials (a FRIA template and Article 26/27 obligation guidance) and a DPA, subprocessor list and data-retention schedule to complement its SOC 2 Type II. Finally, standing up a public status/uptime page, a model-update changelog, and a security.txt / responsible-disclosure channel would turn its claimed 'continuous adverse-impact monitoring' into verifiable post-market monitoring evidence.
§ 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→HiringBranch against its nearest-scoring peers.
In Assessment AI.
§ Others rated in Assessment AI
All assessment vendors→Ranked 16 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.
- 13Metaview54F
- 14Codility54F
- 15Criteria53F
- 16HiringBranchThis profile52F
- 17BrightHire51F
- 18SHL51F
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.