DMG

Engineering aimed at the bottom line.

DMG is a three-person studio working across strategy, operations, and engineering at once. We find the problem that costs you the most, shape the fix around how your people actually work, and build it custom. AI is one of our tools. We use it where it pays.

Apply for an engagementWe take on a small number of engagements at a time.
The core idea

Plans that get built. Builds that get used.

Most projects get one or two of these right. The results show it.

  1. StrategyFind the compelling path forward.Without it: well built, aimed at something that never moved the numbers.
  2. OperationsFit it to how the work runs.Without it: it works. Nobody uses it. The team goes back to the spreadsheet.
  3. EngineeringBuild it to last.Without it: a sharp plan and a better process on paper. Nothing gets built.

The problem goes away, and the savings show up on the P&L.

How we work
  1. Sit with the work.Before we propose anything, we spend time inside your operation: the inbox, the spreadsheets, the handoffs, the people who know how things really get done.
  2. Pick one problem.Choose the one where fixing it changes cash or capacity, not the most interesting one.
  3. Build it in place.Custom software on your real data within weeks. Your people use it, and we adjust it as they do.
  4. Keep it running, or hand it off.Your call. We maintain it, or we hand it to your team with documentation they can actually use.
The kinds of problems we take on

Different industries, same shape: skilled people spending hours on work a system should carry.

  • A specialty contractor turning incoming bid requests into estimate packages.
  • A search firm matching candidates to searches across years of notes and records.
  • A clinical services team coordinating intake, paperwork, and scheduling.
  • A young company that needs its core workflow built properly the first time.

Good fit

  • You own the problem and can make the call.
  • It costs you real time and money.
  • It's a big, hard problem.

Not a fit

  • You just need a dev shop.
  • A "change management" process is required.
  • You need a fully baked solution on day one.
How it's built

Where AI fits

We use models and agents where they beat a simpler solution, and plain software where they don't. An agent is software that takes a task from start to finish, reading, deciding, and acting, with a person checking the parts that matter.

How we build

Tooling is chosen per problem, not per habit. Depending on the domain, that might be:

  • an agent harness such as Y Combinator's QM or the OpenAI Agents SDK;
  • Claude Cowork for knowledge work;
  • a semantic layer such as Boring Semantic Layer, so agents query your data the same way every time;
  • custom MCP tools built for your systems.

Whatever it is, it's tested against your real cases before we call anything done.

Where it runs

In systems you control. Your data isn't used to train anything.

Tell us about the problem.

Apply for an engagement

We read every application ourselves and get back to you within 24 hours.