Startups live and die by speed and capital efficiency, which makes their AI needs distinct: ship fast, stay lean, and — critically — don’t get locked into one vendor before you’ve even found product-market fit. This page explains what AI consulting should deliver for a startup and how dgm approaches it. (dgm implements osFoundry, a separate company’s platform — we are not osFoundry.)

Two different AI needs

Startups usually have one or both of these, and they’re worth separating:

  • AI in the product. AI as a feature or differentiator that makes the product better or possible at all. The metric here is competitive: does it win or keep customers?
  • AI in operations. AI that lets a small team punch above its weight — automating support, ops, and back-office work so you grow without proportional hiring. The metric here is leverage: how much more can a lean team do?

The urgency, approach, and success measures differ, so a startup should be clear about which it’s solving. dgm helps with both, but we’ll name the difference rather than blur it.

Why model-agnostic from day one matters most for startups

This is the point a startup can’t afford to get wrong. Building everything on a single AI provider feels fast early — until that provider changes pricing, terms, or availability, and your margins or roadmap are suddenly hostage to a decision you don’t control. A model-agnostic approach — where you can switch or mix models freely — protects your flexibility and your economics. And it’s far cheaper to build that way from the start than to unwind lock-in after you’ve scaled on top of it. dgm builds on osFoundry specifically because model-agnosticism is baked in.

Speed and leanness, without the heavy program

Startups don’t want a transformation program; they want results this quarter. dgm’s phased approach fits that: a fast assessment, then a focused build that proves value quickly — often via a proof of concept or pilot before committing further. You move fast, spend lean, and keep optionality.

Predictable cost for a tight budget

Unpredictable consulting bills are poison for a startup runway. dgm’s pricing is fixed and public:

  • Assessment + roadmap ($399, one-time).
  • Implementation ($3,999/month) — with no per-seat fees, so the cost doesn’t spike as your team or usage grows.

That predictability lets a startup plan around AI instead of fearing it.

How dgm helps

dgm helps US startups ship AI fast — in the product, in operations, or both — while staying lean and model-agnostic so you’re never locked into one vendor. If you’d rather explore the platform yourself first, you can go straight to osFoundry; if you want to move fast without boxing yourself in, that’s where dgm comes in.