Service · Software Dev Reimagined
To win a war in 2026 you need drones, not faster horses.
The same goes for software. The problems that big systems solve didn't disappear—but a classic, form-heavy platform commissioned today is legacy the day it ships. We build what the problem actually calls for now.
What it is
Software rebuilt around AI, for companies across Maine
This is custom software development rebuilt around AI. The problems big systems solve are still real: data entry, search, reporting, field access. We build the smallest system that solves them using what AI can now do, at a fixed price. We work with companies across Maine.
The problems didn't disappear
Data entry, search, reporting, field access—all still need solving.
Data entry
Still has to happen. It just shouldn't need a human retyping it.
Search
Your people should find anything in seconds by asking for it.
Reporting
Reports should assemble themselves from the work as it happens.
Field access
The job site needs answers—not a laptop, a login, and a VPN.
Bloated healthcare system · Four working examples
We used to maintain a bloated system. Here's how we'd handle it in 2026.
For years our team built and maintained a legacy healthcare platform under the Freeport Metrics name. Forms with dozens of fields, filter panels that take weeks to learn, month-end reports assembled by hand. The standard proposal for a system like that starts at six months. We refuse to do it that way. Here's how we'd point 2026 tools at that same system.
Ask the system.
A multi-field search became a plain request. A month-end report became a sentence.
Try the demoThe form that fills itself.
The operator chats in any language; the form fills itself.
Try the demoA multilingual hotline.
Field staff with no laptop and no reliable internet get the same answers by phone, in their own language.
Try the demoThe system that notices.
The data it already collects now flags what deserves attention each morning.
Try the demoTwo ways to commission it
The same problem has more than one solution.
One path gives you a platform to specify, wait for, and maintain forever. The other gets you working solutions while that platform is still in discovery and design.
The classic build
Months of spec before a line of code
Every feature anyone might ever need
Maintained—and paid for—forever
Legacy the day it ships.
Reimagined
Working software in weeks
Only what the problem calls for
Small enough to change cheaply
AI-first from day one.
What we build instead
Smaller, more pragmatic answers.
A small add-on
Sometimes the answer is a sharp extension to a tool your team already runs—no new system, no retraining.
A minimal, quick build
When new software is warranted, we build the smallest version that solves the problem—live in weeks, at a fixed price.
AI-first features
Run it by voice, chat, phone, or text from day one—the interface adapts to the work, not the other way around.
The conclusion we keep reaching
AI speeds up building software—but we wouldn't build the huge system at all.
If you're about to commission something large, or you're spending big on maintaining bloated software—that's exactly the moment to talk to us.
Book a callFAQ
Questions we're often asked.
How is this different from hiring a development shop?
Most shops build what the spec says. We start by asking whether the system in the spec is the right answer in 2026, then build the smallest thing that solves the problem. Often that's an add-on to software you already run rather than a new platform.
We already have a system. Can you work with it?
Yes—we work with existing legacy systems. Using the AI-way of building, replatforming or modernizing these systems is now significantly faster and more straightforward than traditional approaches.
What does "AI-first software" actually mean?
AI-first replaces traditional UX/UI with user-AI interactions in places it makes sense. It can read a document and answer a question about it. Features that used to need a screen full of fields work from one sentence instead—search, reporting, data entry.
What is MCP, and why does it keep coming up?
MCP is a standard way to let an AI agent operate software directly. Put an MCP layer on a system and your people can ask it for things in plain language using tools like Google's Gemini, Anthropic's Claude or OpenAI's ChatGPT.
How long does a build take?
It depends what the problem calls for. Small add-ons land in days. For anything larger you get a fixed price and a delivery date before we start.
Is it fixed price?
Yes, every engagement is. We scope it, price it, and hold that price.
What happens after launch?
We maintain what we ship, at a monthly rate agreed upfront.
We're about to commission a large platform. What should we do first?
Talk to us before the spec is finalized. That's the cheapest moment to find out how much of the system you don't need to build.
Do you work with companies in Maine?
Most of our clients are Maine businesses. The work itself runs remotely, so location isn't a constraint.