Pillar
HireAIScore rates Pillar 40 out of 100 (grade F, Substantial gaps) under rubric v1.0, last reviewed June 7, 2026. Pillar ranks 125 of 160 vendors rated in Screening AI, against a category average of 46. That score is drawn from 19 evidence items across 7 rubric criteria for Pillar — 12 with a cited source, 7 recording that nothing was located.
Score breakdown
Pillar, criterion by criterion
Each rubric criterion is scored out of 100 on the cited evidence, then weighted into the total.
Weighted contribution shown to the right of each bar.
Article 11 Technical Documentation
Weight 20% · category avg 49
42
+8.4
Bias Audit Transparency
Weight 18% · category avg 41
38
+6.8
FRIA Support
Weight 15% · category avg 31
30
+4.5
Data Governance Disclosure
Weight 15% · category avg 53
45
+6.8
Human Oversight Design
Weight 12% · category avg 56
48
+5.8
Post-Market Monitoring
Weight 12% · category avg 40
33
+4.0
Customer Documentation
Weight 8% · category avg 58
50
+4.0
Total weighted score
40.2(rounded to 40 for display)
Category avg is the mean raw score on that criterion across the 160 Screening AI vendors in scope of this rubric, this one included.
Strongest criterion
Customer Documentation
50raw / 100
Contributes 4.0 to the total. 50 against a 58 category average.
Weakest criterion
FRIA Support
30raw / 100
Contributes 4.5 to the total. 30 against a 31 category average.
Cited evidence
The evidence behind the score
Every score is backed by at least one cited piece of evidence. Open a criterion to see what was found, when, and where.
Download diligence recordEvidence ledger
- Items
- 19
- Documentation
- 8
- Audit report
- 1
- Public statement
- 3
- Absence
- 7
- With a source URL
- 12 of 19
- Source hostnames
- 1
- Fewest items
- 2
- FRIA Support
These figures measure how thoroughly Pillar was reviewed, not how Pillar performed — an absence row, recording that nothing was located, is counted like any other item.
Article 11 Technical Documentation
3 items42
- DocumentationCaptured Jun 7, 2026
Employ's Responsible AI page claims models are built with IBM watsonx to be 'fully explainable, providing complete visibility' but offers no technical documentation, model card, or standards reference.
- DocumentationCaptured Jun 7, 2026
Employ's AI Terms of Service acknowledge AI 'may make errors... and introduce bias' but contain no technical documentation, model cards, or explainability specification for the product.
- AbsenceCaptured Jun 7, 2026
No ISO 42001 certification, system/model card, or product-specific technical documentation for AI Interview Companion was found on employinc.com or the former pillar.hr pages.
Bias Audit Transparency
3 items38
- Audit reportCaptured Jun 7, 2026
Employ's legal page lists an 'AI Bias Audit Results (Holistic AI third-party audit)' but it is filed under the Jobvite ATS product, not under Pillar / AI Interview Companion.
- Public statementCaptured Jun 7, 2026
Employ claims it conducts 'independent bias audits in real time' to keep AI fair, but names no independent auditor, provides no date, and links no downloadable report for the interview-intelligence product.
- AbsenceCaptured Jun 7, 2026
No publicly downloadable NYC LL 144 bias audit (auditor, date, impact ratios) specific to Pillar / AI Interview Companion was found.
FRIA Support
2 items30
- DocumentationCaptured Jun 7, 2026
Employ's AI Terms state the customer 'remains fully responsible' for reviewing output and for the legality of its use, but provide no FRIA template or Art. 27 deployer guidance.
- AbsenceCaptured Jun 7, 2026
No EU AI Act Fundamental Rights Impact Assessment template or deployer-obligation guidance was found on employinc.com or pillar.hr.
Data Governance Disclosure
3 items45
- DocumentationCaptured Jun 7, 2026
Employ's legal hub links CPRA and GDPR Data Processing Addenda, privacy notices, and per-product Security Exhibits covering data handling.
- DocumentationCaptured Jun 7, 2026
AI Terms state Employ may use input data to train models only on an 'anonymized and/or aggregated basis' and only if the customer affirmatively authorizes training.
- AbsenceCaptured Jun 7, 2026
No published SOC 2 / ISO 27001 / ISO 42001 report, training-data description, or data-exclusion list specific to Pillar / AI Interview Companion was found.
Human Oversight Design
3 items48
- DocumentationCaptured Jun 7, 2026
The product page states 'AI Interview Companion assists with transcription and summarization. It does not provide candidate scoring or hiring recommendations,' framing it as human-led decision support.
- Public statementCaptured Jun 7, 2026
Employ's Responsible AI page asserts 'hiring should be human led, every single time' and that AI enhances rather than replaces human decisions.
- AbsenceCaptured Jun 7, 2026
No documentation of concrete human-oversight controls, override mechanisms, audit logs, or in-interface explainability for the product was found.
Post-Market Monitoring
2 items33
- Public statementCaptured Jun 7, 2026
Employ claims 'continuous oversight' via IBM watsonx and bias audits conducted 'in real time,' but provides no monitoring dashboard, changelog, or incident channel.
- AbsenceCaptured Jun 7, 2026
No public incident-reporting channel, model-update changelog, status page, or continuous-monitoring dashboard for Pillar / AI Interview Companion was found.
Customer Documentation
3 items50
- DocumentationCaptured Jun 7, 2026
Detailed public product page describing the AI Interview Companion's transcription, interview-guide, coaching, and feedback features.
- DocumentationCaptured Jun 7, 2026
Employ legal hub aggregates AI Terms of Service, CPRA/GDPR DPAs, privacy notices and security exhibits across its products.
- AbsenceCaptured Jun 7, 2026
No deployer-facing NYC LL 144 candidate-notice guidance or EU AI Act compliance documentation specific to the product was found.
Editorial notes
Company overview
Pillar is an AI interview intelligence platform founded in 2019 in Indianapolis, Indiana by Mark Simpson and Grace Tyson. It records and transcribes interviews over Zoom, Microsoft Teams and Google Meet, auto-generates skills-based interview guides from job descriptions, delivers real-time interviewer coaching, and collects and organizes structured feedback. In March 2025 Pillar was acquired by Employ Inc. (parent of JazzHR, Lever and Jobvite) and rebranded as the 'AI Interview Companion'; the pillar.hr domain now 301-redirects to employinc.com, and the product is sold as a built-in companion for Lever and Jobvite. The current product page explicitly states the tool 'does not provide candidate scoring or hiring recommendations,' positioning it as interviewer-support tooling rather than an automated decision engine, though its pre-acquisition marketing described 'recommending top candidates' and mapping answers to competencies.
Regulatory exposure
Whether Pillar is an Automated Employment Decision Tool (AEDT) is the central question. Employ self-attests on the product page that AI Interview Companion 'assists with transcription and summarization' and 'does not provide candidate scoring or hiring recommendations,' which would place it outside the NYC LL 144 AEDT definition and outside the EU AI Act Annex III high-risk category for tools that evaluate or rank candidates. That said, the legacy Pillar product was marketed as helping 'recommend top candidates' and mapping responses to competencies/skills, so deployers should validate the current feature set against the AEDT 'substantially assist or replace' threshold. Employ publishes a Holistic AI third-party bias audit, but it is scoped to the Jobvite ATS, not to Pillar/AI Interview Companion. No FRIA template, EU AI Act deployer guidance, ISO 42001 certification, model card, or NYC LL 144 notice/audit is published for this specific product; a general 'Responsible AI' page claims IBM watsonx-built explainability and 'independent bias audits in real time' but names no auditor and links no report.
Path to a higher score
The fastest credibility gains would come from publishing a product-specific system/model card and explainability statement for AI Interview Companion, plus a clear AEDT scoping memo stating where the tool sits relative to NYC LL 144 and EU AI Act Annex III. If any feature scores, ranks, or recommends candidates, Employ should commission and publicly post a product-specific bias audit (the Holistic AI relationship already exists for Jobvite) and add downloadable summaries with auditor, date and impact ratios. Concrete deployer materials - a FRIA/Art. 27 template, LL 144 candidate-notice language, human-oversight and audit-log documentation, and a data-governance/exclusion-list disclosure - would move it from marketing-grade 'responsible AI' claims to verifiable compliance evidence.
Regulatory frame
What applies to screening AI.
Treated as high-risk under Annex III §4 when the screening output is decisive. EU AI Act Article 13 transparency obligations apply; deployers must give candidates a way to contest.
Compare
Pillar against its nearest-scoring peers.
The closest scores in Screening AI, side by side.
- Side-by-sidePillar vs Personio40F
- Side-by-sidePillar vs Oleeo40F
- Side-by-sidePillar vs Pin40F
- Side-by-sidePillar vs Feenyx40F
Ranking
Others rated in Screening AI
Ranked 125 of 160 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.
- #122Manatal41F
- #123Personio40F
- #124Oleeo40F
- #125PillarThis profile40F
- #126Pin40F
- #127Feenyx40F
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.