Private, local AI systems that actually run your business — not another per-seat subscription.
We set up private AI systems that answer your calls, sort your leads, and handle the busywork — running on private hardware ABM installs and runs for you.
Book a Free Consult See how it works
- No third-party cloud
- Your data is never trained on
- Flat-rate, no per-token meter
You’ve heard AI can help. Every option so far has been a bad trade.
Your data goes somewhere else
Every time you paste a customer list, a schedule, or a deal into a cloud AI tool, it leaves your control. It sits on someone else’s servers, under their rules, and you never get a clear answer about where it went or what they kept. It isn’t just stored somewhere else — it can be used to train the company’s models, and nothing in the terms says your data is never used to train.
Another monthly bill
Every SaaS tool is a per-use or per-seat fee, and the fees stack. The bills never stop, the price creeps up, and if you ever cancel, your files are still sitting inside the tool.
Nobody actually used it
Someone demos the tool, maybe sets it up once, and then it sits there. The calls still go to voicemail, the leads still wait, and the business runs the same way it did before, except now there’s a bill for it.
Four ways we help
Private AI Setup
We install AI on private hardware ABM installs and runs, and set it up for the work it needs to do. It answers the calls, sorts the leads, handles the paperwork, and your data is never used to train any model. For businesses that need real automation but won’t hand their customer data to a cloud AI company.
Agentic Workflow Automation
Agents that take a task all the way through, start to finish. It reads the voicemail, writes down who called and why, and has the follow-up in your inbox by 8am. For businesses where calls, follow-ups, and paperwork keep slipping through the cracks.
AI Strategy for Small Business
We look at how your business actually runs and tell you what’s worth automating and what isn’t. You get a short, plain-language plan with a fixed price before anything gets built. For owners who want to know what makes sense before they spend a dollar.
Keeping It Running
Not an add-on — it’s what the flat monthly covers. ABM keeps the system running and the hardware optimized for the fast-paced AI landscape. When it breaks, we fix it. When your workflow changes, we update it, and you call the person who built it, not a ticket queue. For businesses that don’t have in-house technical staff.
Four steps, fixed price, no hourly-billing anxiety
Free consult
We sit down and walk through how your business actually runs, then find the work that’s really eating your time: the calls, the follow-ups, the paperwork. You leave knowing what’s worth automating and what isn’t, whether or not we build it.
Proposal
You get a short, plain-language plan: what we’ll build, where it runs, and what it costs. One fixed price, agreed before we start. No hourly meter, no surprises on the invoice.
Build & install
We build the system and install it on private hardware ABM owns and operates — on-site at your building or at our facility, never on a third-party cloud. Your data is never used to train any model from the first day it runs.
We keep it running
When it’s done, ABM keeps it running. The flat monthly covers keeping the best model tuned and the system maintained — no per-token meter, no surprise usage bill. You call the person who built it, not a ticket queue.
What it costs
Two parts: a one-time fee to set up your AI environment, then a flat monthly to keep it running.
| Who it’s for | One-time setup |
|---|---|
| Up to 3 people | from $1,500 |
| 4–20 people | from $4,000 |
| More than 20 people | from $10,000 |
The setup fee covers building the private system your business runs on and getting it working for the way you actually work — sized to how many people use it. We handle what it runs on. You never touch it.
Spreading the setup fee. You can pay it over your first twelve months instead of up front — the same total, no interest added. For a 4–20 person setup that’s $333 a month for the first year, on top of your flat monthly. After twelve months you’re back to just the monthly.
From there, a flat monthly keeps the best model running and the system maintained. It scales with the software we build for you, not with how much you use it — roughly $300 to $2,000 a month.
Your data never leaves your control
When you paste your business data into a cloud AI tool, it can be used to train the company’s models. ABM runs private dedicated hardware instead. Your data is never used to train anything — it isn’t on a shared cloud, it’s a machine that does your work.
We install the machine on-site at your building, where your data never leaves, or we run it at ABM’s facility. Either way it’s private, dedicated hardware — no third-party cloud, no per-token meter.
Cost stays predictable: a one-time setup fee for the hardware, then a flat monthly that keeps the best model running and the system maintained. Flat and predictable, not a meter that ticks with every call.
| Cloud AI tools | ABM private AI | |
|---|---|---|
| Where your data lives | On the vendor’s shared servers; it may be used to train their models | On private dedicated hardware, on-site or at ABM; never used to train any model |
| Cost over three years | Grows with usage, and token prices keep climbing | A flat rate, predictable, no per-use meter |
| Who controls uptime | The vendor — and they can change pricing | ABM controls and maintains the machine |
Systems already running in production
Three systems already in production, not prototypes. Each runs on private dedicated hardware ABM operates. The third is the fleet that built this page — the same kind of system being sold here, running on hardware in the founder’s office.
Real-estate operations portal
Before. Finding who owned a parcel and getting a working phone number took about 10 minutes of manual research per owner. Then you dialed blind. A typical owner had five or six numbers attached and no way to tell which one was actually them, so you called them all.
What was built. Owner-entity and phone research that runs unattended, up to 91 owners in a day, with every number scored against the owner’s name from carrier caller-ID data and ranked, so the likely-right person is on top and dead ends sort to the bottom.
Outcome. 608 owner records processed and 3,450 phone numbers produced in three months. 65% of owners now have a surname-matched number ranked first, cutting expected dials from 5.4 to 2.9, about 1,519 calls avoided. Roughly 12 operator-hours a week returned. Total API spend for all of it: $3.54, because the research runs on hardware the business owns and only number validation costs anything.
Nightly trading pipeline
The founder’s own system — not a client engagement. Shown as proof of capability.
Before. A nightly pipeline was producing signals, but the ML backtests were silently taking zero positions on every asset. The models looked like they ran; the strategy never actually traded. A shared risk-manager object carried a circuit breaker that latched partway through the asset list and never reset, blocking every entry after it.
What was built. Diagnosed and fixed the latched circuit breaker — from 0 of 25 assets trading to 25 of 25. A nightly orchestrated pipeline: price fetch, feature rebuild, retraining of any stale model, news-sentiment scoring, overfitting detection, multi-horizon backtest, and signal fusion. Further model improvements sit behind flags that are off by default, so the production path keeps running exactly as before.
Outcome. A pipeline that trains, validates, and produces signals unattended every night, on local GPUs, with no per-token or per-call API cost.
The agent fleet
Before. The claim: local models, on owned hardware, doing real recurring work under written procedures and hard guardrails.
What was built. A fleet of single-responsibility agents, each running a written runbook instead of improvising — a builder that implements one scoped change and validates it mechanically, a reviewer/release lane that gates and deploys, a reliability watcher on a timer that has opened and driven a real incident on its own, and a data-quality auditor. A small local task bus with atomic claiming keeps two agents from taking the same job. No single agent can push to production alone.
Outcome. 98 of 108 fleet tasks carried to done through the build → review → ship chain. Cost per token: zero. The models run on local GPUs.
Hands-on ops background, crossed into AI
The person behind ABM comes from a hands-on background in operations and construction. That work runs on a simple rule: the thing either works or it doesn’t, and the person who built it is the one who goes back and fixes it when it doesn’t. He built ABM on that same rule.
He is the one who builds and runs the actual inference hardware and agent pipelines — not a description of who does the work. The systems in the Proof section run on private dedicated hardware ABM operates, and when one of yours breaks, the person who fixes it is the one who built it.
A small business isn’t paying for a consultancy that hands over a plan and walks. It’s paying for the person who shows up, builds it on private hardware, and keeps it running. The proof of that is the work already shipped above.
The questions worth asking
Is my data safe?
Yes — and here is the specific part. Your data runs on private dedicated hardware, not a shared cloud, so it is never used to train any AI model. We install the machine on-site at your building or run it at ABM’s facility; either way it is dedicated to you and your data is never on a third-party cloud.
What if I don’t have any technical staff?
That is the point. We install it, run it, and keep it maintained — you use it and we handle the machine. When something is off you call the person who built it, not a ticket queue.
How much does this cost? Is it a subscription?
Two parts. A one-time fee to set up your AI environment — from $1,500, depending on how many people use it — and a flat monthly that keeps the system maintained and the best model running, from $300. It isn’t a per-seat or per-token subscription. The monthly doesn’t grow when you use it more. It tracks the software we build and maintain for you, not your usage. If the setup fee is the problem, you can spread it over the first twelve months at no extra cost. Same total, just not all at once.
What if I already use ChatGPT or Zapier?
Keep them for what they are good at. The difference is where your business data goes. In a cloud tool it is on someone else’s shared servers and may train their models; in a private system it runs on dedicated hardware and is never used to train anything. Many businesses run both — private for the sensitive work, cloud for the rest.
What happens if something breaks?
We fix it. That is part of the flat monthly — ABM owns and operates the machine, so when it breaks or a workflow changes, we update it. You are not left on your own with a box you do not understand.
Free 20-minute consult
No sales pitch — just figure out if this makes sense for your business.
TODO: wire the CTA to a real booking link or a short contact form that posts straight to email. Keep it to name, business, and one free-text field.