Pillar

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.