Small businesses
Usually there is one problem that eats the owner's week: quotes, intake, scheduling, follow-up. We build a system around it, kept simple enough to be run by people who are not technical and do not want to be.
A private practice
Underbeat.
We build the AI systems a business runs on, the products it ships, the automation behind its daily work, and the brand identity that explains them: an AI engineering and development company kept to a small number of clients across the United States.
The practice
We engineer the AI a company runs on: language models that read its documents, agents that act within fixed limits, automation that holds up. The models have changed many times since we first put one to work. The questions have not: what it should do, what it must never do, and how anyone will know the difference. Most of the work is not shown. The result is the only artifact.
What we do
We design, build, and run AI systems inside a business: the model chosen for the job, your documents reached through retrieval, the system tested against your own cases and watched once live. Each is built to hold under daily use, and to be explained plainly to the people whose work it carries.
02We build new products and internal tools on AI, from the first working version to a finished system you own outright: the model, the custom software and data around it, and the screens people use.
03We put AI into the work your company already does: documents, email, support, the back office. AI integration connects models to the software you run, and AI agents carry whole tasks, stop where you tell them to, and leave a record of every action.
04We practice naming, mark, identity system, creative direction, and positioning with the same care as the engineering. A company that ships technology still has to be recognized, and understood, before it gets the chance to explain itself.
How it runs
You tell us what is slow, costly, or stuck, and we listen for the problem underneath, which is rarely the one in the subject line. We ask what it costs, who touches it, and what would have to be true for software to do it well, and sometimes the answer is that software should not.
One document says what we will build, what it will and will not do, what data it will touch, and how we will all know it works. It is short enough to read in one sitting and specific enough to be held to.
The first version runs on your real documents and your real cases, early, so the plan meets reality before the budget does. What we learn there changes the build.
We put the system where your work happens, with monitoring, limits, and a record of what it did. Then we stay long enough to see it hold.
Who we work with
They want the work done well, by people they can reach, and not talked about afterwards. We work with them in nearly every industry, across the United States, from offices in Brooklyn and Long Beach.
Usually there is one problem that eats the owner's week: quotes, intake, scheduling, follow-up. We build a system around it, kept simple enough to be run by people who are not technical and do not want to be.
Often several departments run on documents, email, and a CRM that do not talk to each other. We build AI that reads, routes, and drafts between them, and the first custom product once the company outgrows what it can buy.
A team that already has the data, the software, and the mandate needs senior hands for the parts that must not fail: architecture, evaluation, security review, and the last mile from pilot to production. We work inside its process and leave its engineers able to run what we built.
Why a private practice
An AI engineering and development company usually grows until the person who sold the work is not the one doing it. We stay small enough that the person you speak to on the first call designs the system and answers when something is wrong.
We do not publish client names, case studies, or screenshots, and your name will not appear on this site, or in our conversations with anyone else, because you hired us. Many clients arrive by introduction. The rest write, and are treated the same way.
Most of what we know about these models is where they fail, and we learned it running them for clients. That is how we know what to build on, what to wait out, and what should never be automated.
Before anything else
No. First conversations usually begin with a problem, not a specification: a process that is slow, a backlog that is growing, an idea that keeps coming up in meetings. We help you decide whether AI is the answer, and say so plainly if it is not.
Where you decide it goes. Some clients require that nothing leave their own cloud. Others accept a model provider under a contract that forbids training on their data. Either way, the terms are written into the scope before anything is built: which data, which provider, what is kept, and for how long.
Against a written scope, agreed before anything is built, so the figure is known in advance. Many clients begin with one small, well-defined piece and decide from there. A first conversation carries no obligation, and the scope can be argued with before it is signed rather than after.
Offices
Direct line
Tell us what you are building, or what is getting in the way. We read every message and reply personally, when we can take the time it deserves.
Your message reached info@underbeat.com. We respond when we can take the time it deserves.
If it cannot wait, call 718.501.4294.