Elevated solutions Grounded intelligence Thoughtfully rooted
State of Maine

Maine-based. Woman-owned.

An independent data and AI studio in Portland, Maine

Custom data and AI tools you will understand and own.

Built for your messy problem, the one big software does not cover.

Katahdin Logic designs, builds, and teaches. Each project is made for one organization and fitted to how it already works. The careful work happens before launch, and it happens with you: we define what the tool should and should not do, try it on your real cases, adjust it until it is right, and plan how it will be maintained and upgraded over time. At launch, your team understands how it works and how it will evolve, and the code and the data are yours.

Founded by Allison Dzubak, Ph.D., a former Bowdoin College faculty member with a doctorate in computational chemistry.

Design

Before anything is built, we work out what a tool should do, what it would cost to run, and what you would get for the money. A design can be the whole job or the first step toward a build.

Example engagement

You have seen ChatGPT or Claude handle your task in a chat window. Running it automatically at scale is priced differently, and prices vary more than tenfold between models. We test a set of your real cases on several models, score every result against criteria you approve, and project each one's cost at your volume. You see what you gain and give up at each price, and can make an informed decision based on the results.

Build

Small, custom tools fitted to how your organization already works. Each one takes a job your team does by hand, or cannot do at all, and makes it routine. You own the code and the data, with no license fee and no per-seat pricing.

Example engagement

Two of your systems each hold half of an answer, and getting it takes an afternoon of spreadsheets. We build a dashboard that pulls from both automatically and applies the rules behind your bills or reports. Every figure on it traces back to its source record and the rule that produced it, so when someone questions a number, you can show exactly where it came from.

Teach

Hands-on trainings during and after a build, planned with Universal Design for Learning practices by a former college professor. Every tool comes with detailed documentation written for the people who use it.

Example engagement

Midway through a build, your team tries the tool on their own real tasks while we collect feedback that shapes the next round of the design. After launch, each role gets a session built around its own work and a step-by-step guide to keep. Everyone, technical or not, is glad to use it, because they have already tried it, asked for changes, and seen it work the way they wanted.

Services

AI features with evaluation designed in

Summarization, extraction, drafting, and classification, with the limits and the acceptance tests agreed before launch.

Data cleanup and migration

Messy spreadsheets and exports turned into a clean, documented dataset or database your team can maintain.

Dashboards and analysis tools

Custom views of the numbers your team actually uses, with the calculations documented so you can see where each figure comes from.

Workshops and training

Practical sessions for staff and boards on what data and AI tools can and cannot do, taught by a former college professor.

Working with Katahdin Logic

Data and security

We maintain security practices appropriate to our scope of work and treat client data as confidential by default. What we build for you is yours: you own the code and the data.

How your data is handled, where it is stored, who has access, and what privacy or compliance concerns apply are all worked out during scoping and reflected in how the work is structured. We will tell you if we are not the right fit for a given compliance requirement.

Our use of AI tools

We use AI tools to write, debug, and document code faster. They do not replace our judgment about how a system is designed, secured, and launched. That is separate from whether the tool we build for you uses AI at all, which is decided with you.

Any questions or limits around AI and your data are settled during scoping. What is and is not acceptable is your decision, and we work within it.

Get In Touch

Does your organization have useful data that is a pain to get to?

Does your team lose hours to repetitive work that could run on its own?

Do you want to know what an AI task would cost at your scale before you commit to it?

Tell us what you are working with, and we will tell you whether we can help, and how. The first consultation is free.

Or connect with Allison on LinkedIn.