Applied AI for mid-market America
More capacity.
Same team.
We build and run AI inside American industrial companies, so the team you have can take on more business.
- Built on the systems you already run
- Your people sign what goes out
Who it’s for
For the companies that build, make and move America.
Wherever a good person spends the morning hunting for an answer the business already has.
- BuildersGeneral contractors and design-build
- FabricatorsStructural and misc steel, plate, pipe
- ManufacturersPlants, machine shops, job shops
- DistributorsIndustrial, electrical, building products, hardware
The problem
You want more from the team you have.Everyone else wants to sell you software.
Another login for the same people, while the answer still sits in the ERP, the drawings and somebody’s inbox. Built the right way, on systems and data you own, AI hands that time back to your team.
Hire more people.Buy more software.- Build on what you already run.
What we do
An applied AI team, alongside yours.
Engineers who learn how your business runs, connect what you already have and build the agents, apps and workflows your team asks for.
One foundation. Every tool built on it.
ExampleHow it works
Start with one question.Then capacity compounds.
The n in thinkⁿ is an exponent.
- 01
We learn how you work
The jobs, the paperwork and who answers what, before we build anything.
- 02
We connect your systems
Read-only to start, on accounts you control.
- 03
We build the first tool
On the question that costs your team the most hours, inside the systems they already use.
- 04
Each tool builds on the last
The next tool reads what the first one connected, so it starts further along.
- 05
Capacity compounds
Your people spend less of the day chasing, and more on the work only they can do.

What the work becomes
When your office keeps up, your business builds faster.
Each tool frees hours the next one builds on, so the gains add up across the business.
Book 30 minutesFinal assembly, North Charleston, South Carolina · painted after a photograph by Carol M. Highsmith, 2017
- Time back.The hours spent chasing answers go back to the work only your people can do.
- Bottlenecks clear.The quote, the schedule and the paperwork stop setting the pace of the business.
- Room for more work.Say yes to the bigger job with the team you have.
- Home on time.The work grows and your people still get home at a decent hour.
FAQs
Straight answers.
Where your data goes
- Access
- Read-only to start, on accounts you control and can switch off.
- Before anything connects
- We put in writing where it runs, which AI models it uses, whether anything trains on your data and what happens when you leave.
Use them. On their own, they don’t know your jobs, which drawing is current or which number in the ERP to trust. We connect what you run into one foundation, then build the tools on it that take work off your team.
It’s an investment in capacity, and it’s priced like one. We scope each phase with you and agree its fee before it starts. Running what we build is a monthly fee, and some work is priced on outcomes. Book 30 minutes and we’ll tell you what yours would cost.
No. We build on the ERP you already run. If you want to get more out of it, or move off it, we help with that too.
No. Every phase ends in working software, you can stop after any of them, and what we build stays yours.
Your people. Every draft goes to the person who owns it, and nothing goes out until they sign.
Book 30 minutes
Pick a time. Bring one question.
30 minutes with a founder. You leave with a written plan for your first tool, or a straight answer that it isn’t worth building.

“You’ll talk to me. I’ll have read your question before we start.”
Read-only to start. You can stop after any phase.
Thinking
What we’re learning, written down.
Essays and explainers from building AI inside American industry.

AI doesn’t need a data cleanup first. It needs your best people’s rules.
Owners are told to clean up their data or replace the ERP before AI can work. Most of what’s missing is the rules their best people apply when two systems disagree.

Generated screens will swallow the software you only look at
For forty years companies have bent to fit their software. Screens are getting cheap to generate, and companies are still signing multi-year contracts for them.

Hire the AI engineer third
A lot of owners start on AI with a hire. Make it the third move, after an owner in operations and one written question. A tool of ours that stumbled on a leader’s first questions showed us why.