Ship something new
Build an agentic software factory
Your engineers are faster with AI agents and delivery isn't. We set up the context store, a preview of every change and the approval gates around the agents, so a request turns into reviewed, running software with a record of who approved it. It runs in your own cluster, beside your team, until it's routine, and then it's yours.
Your agents are faster than your process
The agents work. The process around them was designed for people writing every line, and it shows in three places.
Delivery is slower than the tooling
Leadership sees what an assistant can do in an afternoon and cannot understand why a change still takes six weeks. The bottleneck moved and nobody moved the process.
The demo does not become a product
Good work stalls between prototype and production because environments, review and robustness were never set up for something arriving this fast.
Only engineering can see the work
Asking for a change means finding a person and waiting. There is no single place a request goes in and comes back as something you can click.
All three come from the same place. The process assumed a human wrote every line, and the work no longer arrives that way.
The shift
Three routes from an ask to shipped software
Only one was designed around agents.
Built for people
Legible, and slow
Bypassed by agents
Fast, and fragile
The designed factory
Fast, legible, governable
What we install
Six parts, in your environment. You keep all of it.
A context store with a memory
Your tickets, code, documents and decisions in one searchable record that persists between sessions.
Agents with defined jobs
Research, specification, codebase inspection and review as separate agents with separate scopes, rather than one assistant asked to do everything.
Environments that keep up
A preview per change, so review is looking at running software rather than reading a diff and imagining it.
A request path anyone can use
One place a request goes in and comes back as something clickable, so the people closest to the customer are not furthest from the software.
Gates that hold
Evaluation and approval as checkpoints in the pipeline, not as conventions people follow when there is time.
The trail, as a property
What was asked, what an agent read, what it changed and who approved it, recorded because the runtime records it.
10 → 3
People on delivery work that used to take ten
We ran it on ourselves first
Fabric was built because our own delivery did not scale, and our teams have worked inside it every day since. The engagement is us installing that, running it beside your people, and leaving.
Clients we have done this for
AI systems · Our own product
Fabric
Your project's quality shouldn't depend on which engineer is on it. Our engineers work inside Fabric, an AI system with more than fifty agents that remember each client project's context, and across our clients it's why delivery work that took a team of ten now takes three.
Agentic GTM
Canvass
An application on Cloudflare that researches accounts and prepares outbound campaigns for Canvass's clients, where one bad email costs a prospect. A person approves every send, a run that dies halfway can't message a contact twice, and each email is checked again the moment it goes out.
FAQ
Agentic software factory: common questions
Is this a product or a service?
Both, in order. The software is Fabric and it is free and open source. The engagement is installing it against your systems, running it with your team until it is boring, and handing it over. You can take the software without us.
Where does it run?
In your cluster, on your data. Nothing leaves your infrastructure, and there is no procurement cycle to clear because there is nothing to buy.
How long before it does anything?
The context store earns its place first, usually in weeks, because search over your own decisions is useful before a single agent runs. The agents follow it.
If your problem is shaped differently
Launch a product in a regulated vertical
Take the AI demo to production
Move off the warehouse without a Friday night
Make the estate answer for itself
Modernise the estate that outgrew itself
Keep people in charge of the agents you already run
Leave your team able to do it without us
See what production is doing, and be allowed to act