The Future is Already Here …it’s just not very evenly distributed

(William Gibson)

That distribution is the job. The future already runs here — in production, on our own infrastructure, today. We bring it to your company.

Twenty-five years keeping production systems alive. The last two months teaching agents to help run them.

The question everyone actually asks

Where does our data go?

Aggregates go to the cloud model. Anything sensitive — raw records, identifiers, location, health data — never leaves the network. It runs on a local model, on your hardware. This is not a promise on a slide; it is the boundary we run our own systems on, because some of our own data is the kind you do not hand to anyone.

Most AI vendors ask you to accept the boundary they chose. We build it where you need it, and show you where it sits.

Three things, done properly

We are two people. That is why the list is short — and why it is what we can actually deliver alongside the work we already carry.

Infrastructure agentization

AI agents that operate real systems, behind one gateway, with keys per team and an audit log. Not a chatbot on your website — the thing that notices the disk is filling up.

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AI enablement for your teams

Your people already use AI. The question is whether they use it well and whether you can see it. A day on site, on your real workflows, with agentic tasks — not a slide deck about prompts.

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Home automation

A house that runs itself, built as code that outlives the vendor. For households and for offices — the same engineering either way.

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What that looks like in practice

48 / 48

monitored targets green. Twenty-one alert rules. Zero unmonitored services.

23 routes, 1 gateway

every LLM model behind one door, keys per project, budgets per project — no shadow AI.

Seconds of downtime

router, DNS, DHCP and VPN migrated while everything kept running. The only outage was the few seconds it took to move a cable — there was no way around that one.

2 people, no NOC

five hosts across three sites, because the first responder is an agent.

Numbers from our own infrastructure. Not a client list — a lab. It is where we test what we would propose to you, and it is why we can show you the scars instead of the slides.

Four things we built and run

Every one of them is ours, in production, and still running this morning.

Custom software · in production

A bank that talks to our accounting

Three legal entities, three sets of books, and a person retyping bank statements into accounting software every month. The bank has an API. Nobody uses it, because open banking is sold to banks, not to the companies that bank there.

Agentization · in production

One gateway, every model, no shadow AI

Models from five different providers, several applications wanting them, and the default outcome: keys copied into whatever needed them, no budget, no audit, no idea what leaves the building.

Infrastructure · migration

Moving the network while everyone kept working

A consumer router doing DNS, DHCP and VPN for everything, with no visibility and no way to segment anything. Replacing it means replacing the three services that every other service silently depends on.

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Start with an hour

No deck, no discovery workshop, no invoice. One hour, and you will get a straight answer: this is what I would do, this is what it costs — or, you do not need us for this.

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