AI agents build the software now. We build the factories they run in.
Everyone in this industry is selling the same comfortable story: AI makes your team faster and nothing else changes. We will not. Agent-run delivery changes what software costs, who builds it, and who you still need. We build the factories that do it, inside your business and on your accounts, and we will tell you straight what that means for yours.
What is actually true
Both sides of this argument are selling you something.
One camp says you can talk your way to the next Salesforce over a weekend. The other says none of this is real and you should keep hiring the way you always did. Neither is true, and the gap between them is where companies lose a year. Here is what is true: building really does move at the pace the first camp claims — but only on top of factories, and building those is the hard part. That is where the money and the months actually go. Companies attempt it constantly and stall, either because the pieces were never in place or because they tried to vibe-code the factory too. Ours already exist. You start on top of them instead of paying to find out what was missing.
How we work with you
Consult. Build. Run.
Three ways in, a working line of factories at the end. The first consult is free — bring the problem, leave with the plan.
Consult — we tell you how
You want to build it yourselves. Good. We will tell you exactly how: the architecture, the gates that have to hold, and the mistakes you are about to make. You keep the plan whether or not you ever hire us. The first consult costs nothing.
Build — we build it for you
Our forward-deployed engineers build the factories inside your business — your tools, your accounts, your context. What we leave behind is not a report. It is machinery that keeps building after we stop typing.
Run — we run it for you
Factories nobody tends drift. We stay on to keep yours running, staffed, measured, and current, and you direct them from the tools you already use.
What it changes, depending on who you are
Same factories. Three different reasons to want them.
The machinery does not change with the size of the company. What changes is the problem it solves first.
You have an idea and no engineering team
You were told to raise, hire engineers, and hope. That advice has expired. You describe what the product should do in plain English and it gets built to a professional standard from the first version — not a throwaway prototype you pay to replace later. No team to hire, and none to let go when the plan changes.
You are smaller than the people you compete with
The gap between what your customers ask for and what your team can ship is where you lose deals. Factories close it. You get to fill the gaps, answer the requests, and ship at a pace your headcount does not explain — which is how a smaller company beats a larger one that is waiting on its own backlog.
You have engineers and a backlog that outruns them
The backlog is not a staffing problem you can hire your way out of, and you already know it. Factories clear it and keep it clear, inside your existing governance, on your own repositories. Your engineers move to the two decisions that still need a human — what gets built, and whether what came back is right.
The part nobody says out loud
This puts people out of work. Better you hear it from us.
Engineers who do not adapt get replaced by the factories. So do testers and analysts whose work was only ever the part in between — the typing, the manual checking, the moving of tickets. An agent is an asset: it works around the clock, it never forgets a standard, and everything it learns stays in the machinery instead of walking out the door. A payroll doing work that agents now do better is a liability, and every budget eventually notices. The people who adapt — who decide what gets built and judge what comes back — end up with more leverage than they have ever had. That is not a threat and it is not a pitch. It is a schedule.
How it works
You choose the destination. The factories do the driving.
Not one machine — five, and the fifth feeds the first. Each one takes what the last produced and removes a different kind of doubt, and the handoff between them is where most delivery quietly goes wrong. Because the last one sends back what it learned, the line gets better at your product instead of merely running again. You hold two gates: what gets built, and whether what came back is right. Everything between them stops being yours to perform.
Work it out
What should exist, and why — argued out against your actual product and systems until it is specific enough to build from. A ticket flipped to ready, a request in a channel, a note in a document: that is the whole handoff, in plain English, from Jira, Linear, Confluence, Notion, Slack, Teams, or email.
Break it down
The specification becomes work small enough to check — ordered, scoped, and written so that whether each piece is done is a question with an answer rather than an opinion. This is the stage everyone skips, and skipping it is why agent-run delivery produces confident, plausible, wrong work.
Build it
Agents write the software, review it, and ship it, with the standards enforced on every change rather than requested. Every step records itself as it happens, so the account of what was done is a byproduct of doing it and not somebody's write-up afterwards.
Prove it
Evidence the thing actually holds — reproduced where the agent did not get to choose the conditions, and judged by something other than its author. This is the factory that decides whether the work ships, and it is the one that keeps you honest about the other three.
Watch it
What real use turns up after release is not somebody else's problem to write down later — it is the next instruction. The cases nobody thought of become rules the other four have to satisfy from then on, so the same surprise cannot happen to you twice. This is the stage that makes the rest get better at your product rather than simply run again, and it is the one most teams never build.
A word about the influencers
The vibe-coding influencers are worse than the crypto bros.
At least the crypto bros only wanted your money. This crowd wants you to bet your product on a weekend demo. Ask them one question: if shipping real software were as easy as they claim, why do they need to sell you tips? Building software did get easy — that part is true. Operating it did not. Keeping it correct, secure, and standing while real customers hit it is the hard part, it is the part a demo never shows, and it is the part the factories exist for.
What goes wrong
Agent-run delivery fails in specific, repeatable ways.
Anyone can point agents at a codebase. The work is in what happens next — and it is not mysterious. These are the failures we build against, because we have already met them.
Proof that proves nothing
Ask an agent to show you the bug is fixed and it will build the environment where that proof succeeds. The recording is real. The fix is not. Evidence has to be reproduced somewhere the agent did not get to choose the conditions.
Permission it can borrow
You can take away an agent's ability to deploy. You cannot take away its ability to ask another agent to deploy. A boundary a request can route around is a suggestion.
Speed that is not progress
A whole line of factories can run almost entirely unattended and still produce work its own checks keep sending back. Throughput is the easy half. How much of it survives is the half worth paying for.
Quality nothing is holding
At this volume, every standard you do not enforce mechanically is one you are quietly losing. Writing it down is not enforcing it — an instruction agents follow almost always is a rule that breaks constantly once enough of them are running.
How you know it is right
You will not be reading the code. The checking cannot depend on you.
Software built quickly can look finished and still fall over the first time real people use it — and if you ask the thing that built it whether it works, it will tell you yes. So that is not where the answer comes from. Before anything reaches your customers, the product gets used the way a person would use it, by something other than whatever built it, and what happened is written down for you in plain language. When it is not right, it goes back before you ever see it. That is structural: it holds whether or not you could have caught the problem yourself.
No new platform
Directed from the tools you already use.
The tickets stay in Jira or Linear, the specs in Confluence or Notion, the conversation in Slack or Teams — and flipping a ticket to ready is the whole handoff. If you have none of those yet, a note in plain English does the same job. Your existing access controls, retention rules, and audit practices keep applying, because nothing moves to a new platform. Our forward-deployed engineers build the factories inside your business, on your accounts and in your repositories, rather than taking the work off to an outside shop — so what they leave behind is yours and keeps running after they stop typing.
How you would start
One repository first. Never the whole codebase.
You do not have to bet the business to find out whether this holds. It starts at one service, one repository, or one product — a bounded piece — and earns its way into the next only after you have watched it work on the first. A new build can start this way immediately; an existing estate gets brought in deliberately.
The consult is free
Bring the problem, leave with the plan for your factories — whether or not you ever build them with us. That is the whole first step, and it costs nothing.
While it is being built, you pay your tools
Your cloud provider, your AI subscriptions — billed at cost, on your own accounts, paid straight to those providers rather than to us. We do not charge a service fee until the factories are actually running.
Once it runs, a monthly retainer
A set amount to keep the factories running, staffed, measured, and current. Measured because factories nobody tends drift, and the drift is not visible unless somebody is watching for it. Terms are flexible, and earliest-stage terms most of all.
The harness
The harness our factories run on is open source, and it is yours.
The harness is what routes the work, enforces the standards on every change, and records the evidence. Ours is open source. We did not rent it from anybody, and we do not license it back to you — the factories we build inside your business are yours to run, change, and keep. Ask anyone else selling you agent-run delivery whether you could walk away from them with the machinery still running.
Why there are no logos here
We sign strict mutual NDAs. So there is no logo wall.
Every engagement runs under a strict mutual NDA, so this site carries no client names, no logos, and no borrowed testimonials — and it never will. We understand the politics that come with that, and we would rather keep the confidence than decorate a page with it. When a client green-lights an introduction, we make it personally, case by case. If a vendor's best proof is a wall of other people's logos, ask yourself what else they are willing to share about their clients.
The result
A self-driving team, from the first idea to the thing running in front of your customers.
From working out what should exist, through building it, proving it, releasing it, and the watching that follows — work moves forward without waiting on someone to clear their plate first. No stage sits idle because the person who owns it is busy elsewhere. That is what we call autonomous engineering.
Plain language
What we mean by these terms
software factories
Systems of AI agents, running under enforced rules, that turn written intent into built, tested, shipped software — the way a physical factory turns a specification into a product. Plural on purpose: what runs is a line of them, each doing one job and handing its output to the next.
harness
The control layer the factories run inside. It decides what each agent may see and do, enforces the standards on every change, and records what happened so the work can be audited afterward.
autonomous engineering
Building and delivering working software with systems that carry the work forward on their own, so a person is never the thing every step has to wait on.
forward-deployed engineers
Engineers who work embedded inside your business rather than from an outside office — discovering, scoping, building, integrating, and running software against your real workflows — and whose job is measured by the working system they leave behind, not the hours they bill.
Book your free consult
The harness our factories run inside is open source — free for you to use and keep, and the rules we hold agents to are public before you ever talk to us.