Dark operations desk with map displays

03 — Services

Custom AI Applications

Practical tools and platforms built to solve a defined problem — then left in your hands to operate.

The work

Software that earns the seat.

We build applications when the catalog product is the wrong shape: too expensive, too closed, or aimed at a different job. The stack is modern and open where it can be. AI is used when it shortens a real step — search, summarization, triage — not as decoration.

The flagship example is the Energy Infrastructure Explorer: a self-hosted smart-grid map with scenario tools, built to deliver capability that proprietary platforms often price near a million dollars.

Where this fits

Operational maps

Browser applications that put infrastructure, land, or field data in front of the people who have to decide.

Internal platforms

Dashboards, intake tools, and applied analytics when a spreadsheet has become a liability.

Applied AI

Targeted models and assistants wired into a workflow you already run — with data that stays under your control.

How we build

Ownable by default.

Prefer open-source components, public data where it is good enough, and deployment you can run without us in the loop. Document the decisions. Leave a system someone else can extend.

That is how a custom application stays cheaper than a license — not because it is unfinished, but because it was aimed at one job.

Open-source first Self-hosted options Map-native interfaces AI only where it pays
Night prairie

Next

Describe the job, not the stack.

If you already know the software you wish existed, we can tell you whether it should be built — and what it should cost to own.