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AI Systems for Manufacturers

We work with manufacturers in Virginia and Maryland to implement AI solutions that recover wasted potential.

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Industrial & Systems Engineering
Knowlege Transfer
Workflow Automation · Custom AI
Virginia + Maryland
60%

Slow quotes lose bids before the conversation even starts

Manufacturers who respond to an RFQ within 2 days win 35% of bids. Those who take 5 or more days win 12%. That gap is not about effort or skill. It is a systems problem.

20+

Years of process knowledge walking out the door

Your best operator knows things no manual or ERP captures. When that person retires, the knowledge goes with them. Most shops do not realize how exposed they are until it is too late.

$0

Visibility into delivery risk until the customer calls

Most shops find out a job is late the same way their customer does. Friday afternoon. A production console changes that. You see the problem Monday, when you can still fix it.

What we build

Four systems · Built on your data · Deployed in weeks

These are not off-the-shelf tools. Every system we build is trained on your jobs, your machines, your process, and your people. We do not bring a template. We bring a method.

01
Quoting Agent
Your estimators spend hours pulling job history, checking material costs, and building quotes from scratch every time. The Quoting Agent connects your past jobs, drawings, and pricing history into one system. A salesperson describes the job in plain English and gets an accurate quote in minutes, not hours. You respond faster, win more bids, and your estimators spend their time on the complex jobs that actually need their judgment.
→ Shops losing bids to competitors who respond faster. Shops where quoting is the bottleneck between a lead and a purchase order.
02
Knowledge System
The Knowledge System captures the setup notes, machine history, troubleshooting decisions, and operator knowledge that currently lives in people's heads or scattered across email threads and sticky notes. It becomes a searchable, living record of how your shop actually runs. New hires get up to speed faster. Mistakes stop repeating. And when your best operator eventually leaves, what they knew stays.
→ Operations where experience is the product. Shops that have survived on institutional knowledge and know that is not sustainable.
03
Production Dashboard
The Production Dashboard gives you a live view of every job on the floor. Status, delay risk, capacity, and bottlenecks, all in one place. No more walking the floor to get an update. No more finding out on Friday what happened on Wednesday. You see problems when they are still problems, not after they have become missed deliveries and angry customers.
→ Shops making delivery decisions based on gut feel or outdated spreadsheets. Operations where on-time delivery is a competitive differentiator.
04
Ops Automation
Every shop has tasks that happen manually, the same way, every day, by people who know the work could be done faster. Data entry from work orders into ERP. Purchase order processing. Shift reporting. Job status updates. Ops Automation identifies those tasks and eliminates them, freeing your team for the work that actually requires a human being.
→ Operations drowning in manual process. Shops where skilled people are spending hours on work a system could handle in seconds.

Built by someone who has worked inside your version of systems.

My name is Mekias Endale. I have a background in Industrial and Systems Engineering. Most people walk into a facility and see equipment. I walk in and see every place the system is losing time.

That's not something I learned in a classroom. I grew up going to factories. Furniture plants, production floors, workshops. Most kids weren't paying attention to that stuff. I was. There's always been something about watching raw material move through a system and come out the other side as something real that I couldn't look away from.

That obsession eventually brought me inside Macom's semiconductor fabrication operation as a data analyst. My job was to answer one question: did they actually need to spend $2 million on a new photolithography machine? Nobody knew, because every step in the process was being logged manually by operators. The data going into their MES was flawed. Which meant the capacity numbers coming out were unreliable. Which meant leadership was about to make a $2 million decision based on numbers nobody could fully trust.

I rebuilt the picture from the raw data up. Pulled monthly production records, mapped where time was actually going across their five most-used process flows, and found untapped daily capacity sitting in equipment they already owned. They didn't buy the machine.

That's still how I work. I don't show up with a solution already in mind. I show up to understand what's actually going on first, because the answer is almost always already inside your operation. It's just not visible yet.

The other thing I care about is longevity and the cascading effects of the solutions I build. Most people on a production floor have never been shown how any of this works, not because they can't grasp it, but because nobody ever took the time to show them. When I build something, I bring whoever is going to live with it into the process. I explain the logic, the reasoning, the thinking behind the decisions. Because a system only I understand is fragile. A system your team understands gets better over time.

One improvement, owned by your people, pays forever. The sooner it goes in, the longer it compounds.

LinkedIn →
Mikias
The offer

Here is exactly what working together looks like

No retainers before results. No vague roadmaps. No six-month discovery phase. Here is what you are signing up for, step by step, with the price attached.

01
Free 30-minute audit

We get on a call. You tell me what is slowing your shop down. I tell you what I think is causing it and what I would build to fix it. You leave with a clear picture of where your operation is losing the most time and margin, and what it would take to recover it. No cost. No obligation. No pitch deck.

If there is a fit, we move to step two. If there is not, I will tell you that honestly and we part ways.

02
Workflow map

Before anything gets built, we document exactly how your operation runs today. Who does what, which systems are involved, where the handoffs break down, and where the data lives. This takes one to two weeks and involves working directly with the people on your floor, not just leadership. You see the full picture before a single line of code gets written.

This is the step most agencies skip. It is the reason most AI projects fail.

03
Pilot build

We build one system. Not four. Not a roadmap for the future. One high-impact system, connected to your real data, working in your actual environment, delivered in two to four weeks. You see it running before you commit to anything beyond the pilot.

04
Monthly partnership

Once the pilot is live and working, we move to a monthly retainer. We maintain the system, monitor performance, train your team, and continue improving it as your operation evolves. New systems are scoped and priced separately when you are ready.

Book now

30 minutes.
Real answers.
Next steps.

This is a call with someone who has worked inside MES systems and production floors, not a software salesperson reading from a deck. We talk about your operation specifically. What is actually slowing it down, where the data is, and what it would realistically take to fix it. If there is a fit, I will tell you. If there is not, I will tell you that too.

Book the call. Worst case you get a free outside perspective on your operation from someone who has done this before.

Book your free audit →

Common questions

Do we need to replace our ERP?
No. We plug into what you already have. ERP, spreadsheets, emails, PDFs, machine outputs. The goal is to make your existing data usable, not to rip and replace anything. Most of the data you need to build a better operation is already sitting in your systems. It is just not connected yet.
How long before we see results?
The audit call alone usually surfaces quick wins you can act on the same week, no build required. The pilot delivers a working system in two to four weeks connected to your real data. You are not waiting six months for a roadmap. You are seeing something working in the first month.
Do we need to hire more staff?
Usually the opposite. The systems we build eliminate the manual repetitive work your team is already doing. Most clients avoid at least one planned hire as a direct result of the first system we build.
What if AI makes mistakes?
Every system we build includes human checkpoints and override controls. Your team stays in the loop on every decision that matters. We remove the tedious parts so they can focus on the judgment calls that actually need a human. No system goes live without your team reviewing it first.
What does this cost?
The audit is free. Pilot projects start at $15,000, fixed price, fixed scope, with a full refund guarantee if the system does not deliver.And there are no long-term commitment. API and infrastructure costs are paid directly by you to the provider and typically run $30 to $100 per month.
What makes you different from other AI consultants?
Most AI consultants come from software or marketing. They understand the technology but not the floor. I came from industrial and systems engineering, spent time working inside a semiconductor fabrication MES, and have been building AI products for three years. I understand how a production floor actually runs before I write a single line of code. That changes what gets built and how well it works.