What we do
An AI and software factory
We build bespoke AI and software systems: designed AI-first, integrated into the tools you already run, and delivered as something you own rather than something you rent. Every project starts with a paid audit that measures your baseline, because a provider who quotes a return before looking at your data is quoting someone else's result.
Capabilities
What the factory builds
AI agents and assistants
Systems that hold a conversation, qualify a lead, resolve a ticket, or execute a task inside your CRM. Built against your data and your rules, not a template, and evaluated on a metric you agree to before we start.
AI-first product development
Full product builds where the intelligence is part of the design rather than a feature bolted on at the end. Backend, frontend, data model, and evaluation harness, delivered as one system you own.
Integration with what you already run
Your ERP, your CRM, your telephony, your warehouse. Most AI projects fail at the integration seam rather than at the model, so this is where the engineering time actually goes.
Process automation
The repetitive workflows that consume a team's week: document intake, quoting, reconciliation, reporting. We look for the highest leverage slice first and build that, rather than automating everything at once.
The process
Audit, scope, build, operate
The same four steps on every engagement. The order matters: nothing gets built before the baseline is measured and the success metric is agreed in writing.
01
Audit
We review the workflow, the data behind it, and the systems it touches. This is where the baseline gets measured, because there is no honest return on investment without a measured before.
02
Scope
The audit produces a written statement of work: what gets built, what is explicitly out of scope, the data required, the success metric and its threshold, and a fixed price. You approve it before any code exists.
03
Build
We build in slices against the agreed metric, with an evaluation milestone on your real data before any full rollout. The code, the prompts, and the data end up yours.
04
Operate
Models drift and data changes, so quality decays without tuning. We can keep operating the system after launch, or hand it to your team with the evaluation tooling to run it themselves.
Evaluating us
Compare us the way you would compare anyone
A factory is one of four ways to buy AI, and it is not always the right one. If your problem is standard, a platform is faster. If it is core to your product forever, hire the team. We wrote the buyer guide we would want you to use on us. How to choose an AI vendor, what belongs in a statement of work, and what an AI build costs in the market. When you are ready, start with an audit.
FAQ
Common questions
What is an AI software factory?
A software factory is a team that builds custom software as a repeatable engineering practice rather than as one-off projects: shared standards, shared tooling, and a defined process from scoping through operation. An AI software factory applies that same practice to systems where machine intelligence is part of the design, which adds two requirements a traditional factory does not have. The build depends on your data, and success has to be measured rather than assumed, so evaluation is part of the engineering rather than an afterthought.
How is a software factory different from hiring freelancers or an agency?
Continuity and process. A freelancer delivers a contained piece of work, and the knowledge leaves when they do, which matters because AI systems need ongoing tuning. A factory carries the scoping process, the engineering standards, and the operation plan across the whole life of the system, so there is someone accountable after launch and not only before it.
Do I own the code and the data?
Yes. The source code, the prompts, and the data end up yours, and ownership is stated in the statement of work before the build starts. This is the question that most separates a custom build from a subscription, because a subscription stops working the day you stop paying while a system you own stays an asset on your side of the table.
How does a project start?
With a paid audit rather than a proposal. We review the workflow and the data, measure the current baseline, and pick the slice with the highest return to build first. The audit produces a scoped statement of work with a fixed price, so you decide whether to build from an agreement instead of from an estimate.
Next step
Stop hiring. Deploy an AI agent.
Book your AI audit. In 10 days you'll know which workflows to hand off to an AI agent, the expected savings, and a fixed-price agent build scope. We build it. Then we run it.
20 minutes. No pitch deck. No commitment.