An agent is only as good as the systems it plugs into. We engineer the websites, apps, products and integration layers that automation actually runs on — and hand you the repository, the accounts and the documentation at the end.
The agent is rarely the hard part. The hard part is the twelve-year-old scheduling system with no API, the website form that emails a shared inbox, the app that stores job notes only on the device, and the spreadsheet three people edit at once.
An AI agent that qualifies a lead has to put the result somewhere durable, structured and queryable. If your systems have no clean write path, the agent is just a chat window with good manners.
Accurate answers come from accurate data. Pricing rules, service areas, availability, order status and account history have to be reachable through an interface a machine can call — not buried in a PDF or a person's memory.
Workflows fire on things happening: a form submitted, a job closed, a payment failed, a plan upgraded. Software built only for humans to click emits nothing. We build the events in from the start.
You may have arrived here wanting a fast marketing site, an iOS app, or a customer portal that finally replaces the email thread. That is a complete engagement on its own, and we treat it as one. The difference is that we build it so the automation layer is a later decision instead of a later rewrite. We integrate what already exists — and build what doesn't.
Marketing sites, web apps and customer portals that load fast, rank, meet accessibility standards, and feed your automation instead of sitting beside it.
→ / 02iOS and Android apps for field teams and customers — offline-capable, push-enabled, submitted to the stores and released on a schedule you control.
→ / 03Multi-tenant products with authentication, roles, billing, metering, admin tooling and an API — built by a team that runs its own SaaS in production.
→ / 04Internal tools, dashboards, data pipelines and the middleware that connects systems never designed to talk to each other.
→Senior hands only — the people on the audit call are the people who build. There is no handoff to a junior team after the contract is signed.
We start with the free 30-minute audit and go from there. The goal is not a feature list — it is understanding the work the software has to carry: who touches it, what breaks today, which systems already hold the data, and what a good outcome looks like six months out. You leave discovery with a written scope, a phased plan and a price, and you get the roadmap whether or not you build with us.
Stack choices are made per project and written down with the reasoning attached. We pick based on what your team can maintain, what your hosting and compliance situation allows, and what already runs in production — not on whatever framework is fashionable this quarter. The data model comes first, because everything downstream, including every agent you ever deploy, depends on it being right.
Work ships in short cycles against a shared board you can see at any time. Every branch gets a preview environment, so you review real software in a browser or on a device instead of approving screenshots. Tests cover the paths where being wrong is expensive — money, auth, data writes — and the pipeline runs them on every push.
Launch is a rehearsed procedure, not an evening of nerves. Data migration is dry-run first against a copy of production. Redirects, DNS, certificates, analytics and error tracking are in place before traffic moves, and there is a documented rollback path. Your team gets trained on the parts they will operate, with recordings they can hand to the next hire.
Software that stays useful gets maintained. We keep dependencies current, watch error rates and performance budgets, and work through a rolling roadmap in the same short cycles. This is also where the AI layer usually arrives — once the system is stable and the data is clean, adding agents and workflows on top is a normal piece of work rather than a project of its own.
Most relationships start small and grow. None of them require you to buy the largest version first.
A marketing site rebuild, a portal for one workflow, an integration between two systems, a performance and accessibility remediation. Fixed scope, fixed price, shipped and handed over.
A web app, a mobile app, or the first release of a SaaS product — discovery through launch, with a phased plan so something useful is live long before the last feature lands.
A standing senior team across software, automation and operations. Continuous cycles, a shared roadmap, and the AI layer built in as the systems mature rather than bolted on later.
We build on these and integrate with these. We do not claim partnership status with any of them, and we do not start a project with the answer already picked.
No. Plenty of engagements start with a website, an app or a product build and never touch an agent. What you get either way is a team that designs the system so automation can be added later without a rewrite: clean data models, real APIs, event hooks and documented services. If you never use them, you have lost nothing.
You do, from day one. The repository lives in your organization, the cloud accounts are billed to you, the domain and DNS are yours, and the documentation ships with the code. We work inside your accounts rather than parking your system inside ours. If you decide to move the work in-house or to another firm, there is nothing to unpick.
That is a decision we make per project, not a house default. We build on modern JavaScript and TypeScript, Python, Postgres, Supabase, AWS, Google Cloud, Vercel, DigitalOcean and Cloudflare, and we integrate with HubSpot, Salesforce, Stripe, QuickBooks and Shopify. The right answer depends on your team, your hosting constraints and what already runs in production.
A focused sprint runs two to four weeks. A full product or platform build usually runs eight to sixteen weeks to first release, then continues in shorter cycles. We scope it in the audit and give you a phased plan, so the first useful thing ships early rather than everything landing at the end.
Often, yes. We start with a code and infrastructure review: what is running, what it depends on, where the risk sits and what it would cost to stabilize versus replace. Sometimes the honest answer is to keep the existing system and build an integration layer around it. We tell you that before you spend money on a rebuild.
Thirty minutes, no charge. We will map what you have, tell you what has to be built before automation is worth attempting, and send you the roadmap either way.
Roadmap delivered · whether or not you build with us