For US manufacturers, one of the most useful — and most overlooked — resources for adopting AI isn’t a grant at all: it’s the Manufacturing Extension Partnership. Here’s what it offers in 2026, cited to NIST, and where its limits are. (dgm implements the AI a manufacturer decides to adopt — see the end.)

What MEP is

The Manufacturing Extension Partnership (Hollings MEP) is a program run by NIST, part of the Department of Commerce, that helps small and mid-sized US manufacturers become more competitive. It works through a national network of state-based centers — roughly 1,400 advisors across more than 450 locations — so help is local and hands-on. Every state and Puerto Rico has a center.

The important framing: MEP is technical assistance, not a cash grant. You don’t receive money; you receive expertise, often cost-shared so it’s affordable for a small manufacturer.

How MEP helps with AI

AI and automation are squarely in scope. MEP centers help manufacturers de-risk AI adoption through practical, vendor-neutral support: assessing where AI actually fits your operation, helping you evaluate and select third-party providers, and connecting you to grants and other funding sources. For a manufacturer unsure where to start with AI, that neutral assessment is genuinely valuable — it helps you avoid spending on the wrong thing.

Who qualifies

MEP is for manufacturers — companies that make physical products. If you’re a small or mid-sized manufacturer, your state’s MEP center is built for you. Non-manufacturing businesses generally won’t qualify, so if you’re a services firm, MEP isn’t your route (an SBDC may be a better general-purpose advising resource).

Where MEP ends and implementation begins

MEP helps you decide and plan — assess readiness, choose a direction, vet providers. It generally does not build and run the AI for you. That’s the natural handoff: a manufacturer uses MEP for neutral guidance and a funding map, then engages an implementation partner to actually deploy the technology.

How dgm helps

dgm implements osFoundry and other AI for US manufacturers — deploying and configuring it around your production and back-office workflows, building the agents and automations, and training your team. MEP and dgm fit together cleanly: MEP helps you decide what to do and find funding; dgm builds it. If you’re a manufacturer, starting with your MEP center costs little and makes the eventual implementation sharper.