NIST AI RMF vendors for Employment & HR
Vendors that support NIST AI Risk Management Framework and explicitly serve employment & hr customers. Each vendor’s last-checked date is shown in the table.
| Vendor | HQ | Founded | Size | Pricing | Last checked |
|---|---|---|---|---|---|
| Saidot | Helsinki, Finland | 2018 | 11-50 | No public pricing listed; contact sales implied via demos and sign-ups. | Sep 21, 2026 |
| Enzai | Belfast, United Kingdom | 2021 | 1-10 | SaaS platform, enterprise subscription. No public pricing listed. Contact sales via enz.ai. | Sep 21, 2026 |
| Fairly AI | Kitchener, Canada | 2020 | 11-50 | On-premises or private-cloud deployments; quote-based. | Sep 21, 2026 |
| Monitaur | Boston, United States | 2019 | 11-50 | Enterprise annual subscription; no public pricing listed. Forrester Wave cited 'pricing flexibility and transparency' as a highest-score criterion. Contact sales for quotes. | Sep 21, 2026 |
| Luminos.Law (ZwillGen AI Division) | Washington, DC, United States | 2019 | 51-200 | Contact for pricing | Oct 1, 2026 |
| Credo AI | Palo Alto, United States | 2020 | 51-200 | Contact sales for enterprise subscription quote. | Sep 21, 2026 |
| Holistic AI | London, United Kingdom | 2020 | 51-200 | Enterprise platform; contact sales for quote. | Sep 21, 2026 |
| FairNow | McLean, United States | 2023 | 11-50 | Contact sales for quote; no public pricing listed | Oct 15, 2026 |
| Meilynx | United States | — | — | Contact for pricing | Sep 21, 2026 |
About NIST AI RMF
The NIST AI Risk Management Framework (AI RMF 1.0) was published by the U.S. National Institute of Standards and Technology in January 2023, with a Generative AI Profile (NIST-AI-600-1) added in July 2024. It is a voluntary, sector-agnostic framework that organises AI risk management around four functions: Govern, Map, Measure, and Manage. Although adoption is voluntary, the AI RMF is referenced by the U.S. Executive Order on AI, several federal agency directives, and is increasingly cited by procurement teams and insurance carriers as a baseline expectation. NIST also publishes a companion AI RMF Playbook with concrete implementation suggestions and a Crosswalk that maps AI RMF actions to ISO/IEC 42001, ISO/IEC 23894, OECD AI Principles, and EU AI Act provisions.
Read framework guide →About Employment & HR
Employers using AI in recruiting, hiring, and performance management. Subject to NYC LL 144, Illinois AIVIA, EEOC guidance, and Colorado AI Act.
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