Ashby

Company overview

Ashby (Ashby, Inc.) is a San Francisco-based, venture-backed recruiting software company founded in 2018 by Benjamin Encz and Abhik Pramanik. Its all-in-one platform spans applicant tracking, sourcing/CRM, interview scheduling, and analytics, and it has progressively layered AI on top — AI-assisted application review, a 'Criteria Evaluation' model that scores resumes against user-defined job criteria, sourcing/outreach personalization, an AI Notetaker, and scheduling agents. It serves mid-market and scaling tech companies (customers include Notion, Duolingo, Airtable, and Opendoor), placing it in the mid price tier.

Regulatory exposure

Ashby's AI-assisted application review and Criteria Evaluation features place it squarely within scope of NYC Local Law 144 (it is an AEDT-style screening tool) and likely Annex III high-risk territory under the EU AI Act once employment-AI obligations apply. The company explicitly acknowledges NYC LL 144, the EU AI Act, and (in its risk-assessment scope) Colorado, and provides candidate notice/opt-out tooling and in-product EEO bias warnings. Its disparate-impact exposure is directly tested in a public FairNow bias audit that found no group below the four-fifths threshold, but that audit is a single 2024 cycle and no later annual audit is publicly posted.

Path to a higher score

The single biggest lever is publishing a second consecutive annual NYC LL 144 bias audit (2025/2026) at a stable URL to demonstrate ongoing monitoring rather than a one-off. Beyond that: pursue ISO/IEC 42001 (or publish a formal model/system card and instructions-for-use pack) to strengthen Article 11 technical documentation; add explicit EU AI Act deployer guidance and an Article 27 FRIA template/checklist for customers; and stand up a public, continuously updated AI model-update changelog or monitoring surface rather than relying on the general status page and disclosure inbox.