Taking on new projects this quarter
We modernize the systems your business runs on — cloud, data and AI — with the scope and the price agreed before a single line of code is written.
Why companies call us
Nobody schedules a modernization project. It gets forced by a bill, an outage, or someone leaving. These are the moments our clients call.
Your cloud bill goes up every month and nobody can explain exactly why.
Month-end reporting takes three days, a shared drive and a lot of copy-paste.
The system the business runs on was built by someone who left years ago.
Two systems disagree about the same customer and nobody knows which is right.
You can see what AI could do for you, but every demo assumes you have a data team.
Your last IT partner left you with something only they know how to maintain.
What we do
Most engagements combine two or three of these. You are not buying a department — you are buying an outcome, and you see the first piece of it inside two weeks.
Practical AI that earns back its cost, not another pilot that stalls.
Infrastructure sized for your business, with a bill you can predict.
One version of the truth, so meetings stop arguing about whose number is right.
Legacy modernization, product build, integrations and fractional architecture leadership are part of this work rather than separate practices — they turn up inside the three above.
Products
Three products of our own. They are how we keep our hands on the same stack we put behind client work — shipped, operated and paid for by us.
Now on iOS & Android
Warns a driver when a railroad crossing ahead is likely to be blocked, and shows which crossings nearby get blocked, and when.
202,168crossings mapped, 50 states and DC
160,636federal blockage reports analysed
Freeno account needed
Watch the 1-minute film
Live demo
The whole back office for a one-person trades business: customers book online, the day plans itself, every job runs from a phone.
$0commission per job, nothing per lead
24/7booking online, no phone tag
Up frontevery price includes the travel fee
Watch the walkthrough
In review
Find the food trucks, trailers and carts parked near you, order ahead from your phone, and walk up when it is ready.
3 marketsKansas City, Dallas‑Fort Worth, Austin
No feescustomers pay the truck’s window price
EN · ESevery screen in both languages
Watch the 30-second film
Engagements
Three ways to work together. Whichever one fits, you get the number in writing before anything starts.
For when you know something is wrong but not what to fix first.
For a defined outcome: a migration, a warehouse, an AI workflow, a rebuild.
For ongoing senior capacity without adding to headcount.
We do not publish rate cards: the honest number depends on how many systems are involved and how much of your data needs untangling first. Working that out is what the free audit is for.
Questions
Something not covered here? Ask it in the form below and you will get a straight answer, not a discovery call.
Almost certainly not. We work with solo operators and one-person consultancies as readily as with companies running several departments — the work scales down as well as up. A single automation that removes a recurring manual job is a perfectly good engagement.
What we will tell you honestly, in the free audit, is when an off-the-shelf tool would serve you better than anything custom. That answer costs you nothing and saves you a project you did not need.
The audit is free. After it, you get a single fixed number covering the whole scope, in writing, before you commit to anything.
We deliberately do not publish a rate card. Two projects that sound identical in a sentence can differ by an order of magnitude once you look at how many systems are involved and what state the data is in, so any number we printed here would be wrong for most people reading it.
If your budget is smaller than the work needs, we will say so in the audit and point you at the version that does fit.
Usually yes, but not in the order most vendors suggest. The useful AI work for a company your size is narrow and boring: reading documents, routing requests, drafting replies, catching anomalies. None of it needs a data science team.
What it does need is your data being reachable and consistent, which is why data engineering is often the first step rather than the last.
You do, from day one. We work inside your accounts and your repositories rather than ours. There is no proprietary platform in the middle and nothing you have to license from us afterwards.
Your data stays in your cloud tenancy. Where an AI engagement uses a third-party model provider, we use enterprise endpoints with training on your data switched off, and we document exactly which data leaves your environment and where it goes before anything is connected.
We sign your NDA, and access is scoped to what the work requires and revoked when it ends.
The audit call usually happens within a few days of you getting in touch. Project starts depend on current capacity — we will tell you the real date on the first call rather than promising Monday and meaning next month.
Because work happens in two-week increments, the most you can be wrong by is two weeks. You can stop at the end of any increment and keep everything built so far, in your own accounts, documented. Ongoing retainers end on thirty days’ notice with no penalty.
Get in touch
A couple of sentences is plenty. We read every message ourselves and reply within one business day — with an actual answer, not a calendar link and a brochure.