Underbeat
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A private practice

Underbeat.

An AI engineering and development company that would rather be relied on than noticed.

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 build AI into how a company works. Then we get out of the way.

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.

How it runs

From the first conversation to a system in production.

01

A conversation

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.

02

A written scope

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.

03

A working version

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.

04

Production, and after

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

Companies of every size, with one thing in common.

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.

01

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.

02

Mid-sized companies

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.

03

Large organizations

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

Small on purpose. Senior throughout.

01

Senior attention, start to finish

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.

02

Confidentiality, as a working condition

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.

03

Judgment, not enthusiasm

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

Three questions we hear on nearly every first call.

Do we need to know what we want before we call?

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 does our data go?

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.

How is the work priced?

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.

Direct line

Begin a quiet conversation.

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.

info@underbeat.com718.501.4294

Inquiries reach us directly, by form, email, or phone.

Received

Thank you. We will be in touch.

Your message reached info@underbeat.com. We respond when we can take the time it deserves.

If it cannot wait, call 718.501.4294.