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Built for the people who build things.

Bloomfield builds custom AI software for manufacturers. Quoting tools, knowledge engines, production dashboards, and equipment intelligence shaped around how your operation actually runs.

Why Bloomfield Exists

Manufacturing in the United States runs on roughly 250,000 small and mid-size operations. Most of them share the same problem. The people who know the most about how the shop works are retiring. The systems those people relied on, ERP databases, spreadsheets taped to machines, tribal knowledge passed across shifts, do not talk to each other. And the gap between what a shop knows and what it can act on keeps growing.

Quoting is where this hits hardest. An estimator with 30 years of experience carries thousands of past jobs in their head. They know which customer needs extra inspection, which material runs hot on the Mazak, which margins held on a similar part two years ago. When that estimator leaves, the shop does not lose a person. It loses an entire decision-making system. The replacement starts from scratch, every time, on every quote.

AI has changed what is possible here. Custom software built around a manufacturer's own data, connecting ERP records, job histories, process notes, and floor-level knowledge into tools the team can actually use, is now affordable and fast enough to deploy in weeks. We started Bloomfield because this work should not require a seven-figure IT budget or a two-year implementation timeline. The technology caught up. Somebody needed to bring it to the people who build things for a living.

How We Think

Start with the work, not the technology.

We spend time inside your operation before we write a line of code. Who does what, what systems are involved, where decisions slow down, and where the process breaks under real operating conditions. The tool we build comes from what we learn on the floor, not from a product roadmap we wrote before we met you.

Build with you, not for you.

Every tool we deliver is shaped by the people who will use it. We learn your workflows, your language, your constraints. The estimator, the production manager, the shop floor lead. They tell us what works and what does not. We iterate until the tool fits the way they already think about the job.

Every engagement has a defined scope, timeline, and deliverable.

You know what you are paying for before we start. We define the problem, agree on what the tool needs to do, set a timeline, and deliver against it. No open-ended retainers. No six-month black boxes. No ambiguity about what done looks like.

Scope tightly. Show progress constantly.

We define what we are building, what it costs, and when you will see it. No open-ended retainers. No six-month black boxes. You know the deliverable, the timeline, and the budget before any work begins. At every phase, there is something to evaluate.

Who We Work With

Precision Machining Aerospace Defense Hydraulics Fluid Power Metal Fabrication CNC Manufacturing Medical Devices Industrial Components

The typical company we work with has 20 to 500 employees and generates $5M to $200M in annual revenue. They run job shops or mixed-mode operations producing custom parts with variable processes. The expertise that keeps the shop running lives in people, not in systems.

The problems are consistent across sectors. Quoting takes too long and depends on too few people. Institutional knowledge walks out the door with every retirement. Production status lives in three different systems that nobody checks at the same time. Scheduling decisions get made on gut feel because the data to support them is scattered across ERP exports, spreadsheets, and whiteboards.

How We Engage

Every engagement begins with understanding how your operation works. The path forward depends on where you are.

Track A

Advisory & Strategy

For teams exploring where AI fits in their operation. We map your workflows, audit your data, and deliver a clear picture of what to build first.

AI readiness assessment across workflows
Workflow audit and bottleneck identification
Technology roadmap with build priorities
Team training and AI literacy sessions
Delivered in 2 to 4 weeks

Track B

Custom Build

For operations ready to put custom tools in the hands of their team. We build, integrate, deliver in phases, and iterate based on real usage.

End-to-end development of custom AI software
Integration with existing ERP and data sources
Defined scope, timeline, and deliverable for every phase
Ongoing iteration, support, and refinement
First phase typically 6 to 8 weeks

Our Principles

Every manufacturer already has the data. We build the system to use it.
If we cannot explain what the tool does in one sentence, we have not scoped it tightly enough.
The people on the floor know where the bottleneck is. We listen first.
Good software fits the work. It does not ask the work to change.
We measure success by what your team uses, not what we deliver.
No tool should require a manual. If it does, we built it wrong.