NIST AI RMF vendors for Manufacturing
Vendors that support NIST AI Risk Management Framework and explicitly serve manufacturing customers. Each vendor’s last-checked date is shown in the table.
| Vendor | HQ | Founded | Size | Pricing | Last checked |
|---|---|---|---|---|---|
| DataRobot | Boston, United States | 2012 | 1000+ | Contact for pricing | Sep 21, 2026 |
| 2021.AI | Copenhagen, Denmark | 2016 | 51-200 | Pricing is custom and tailored to use case, organization size, deployment model (on-prem or cloud), and selected modules. Contact sales required per their pricing page. | Sep 21, 2026 |
| WitnessAI | Mountain View, United States | 2023 | — | No prices on witness.ai. Its AWS Marketplace listing gives 12-month prices: WitnessAI for Enterprise at $180 per user (minimum 1,000 users, $180,000), WitnessAI Agentic Visibility at $24 per agent (minimum 2,500 agents, $60,000) and WitnessProtect model protection guardrail at $300,000. | Oct 15, 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 Manufacturing
Industrial manufacturing including automotive, aerospace, electronics, and consumer goods. AI governance use cases include predictive maintenance, quality inspection, supply-chain optimization, and safety-critical control systems.
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