Three ways we work with companies.
Whatever the shape of the engagement, the team is the same one that builds and operates our own products. What follows is what we deliver, roughly what it costs, and how long it takes.
AI product development
From idea to finished product. We design, build, and run digital products the same way we build our own: first version live in weeks, built to last.
Design and architecture from the business model
Scoping starts with who pays, for what, and what the unit economics have to look like. Only then does the stack get decided. We will tell you which features to cut, and which ones will not survive their own API bill.
First version live in weeks
A shippable increment in production inside 3 to 6 weeks, then weekly releases. You watch progress on a real environment with real data, not in a slide deck. If the idea is wrong, you find out while it is still cheap to change.
AI engineered for cost and latency
Model routing, caching, batching, fallbacks, and hard spend caps in the code. We run the same providers for our own products and know the difference between a demo that impresses and a feature that stays profitable at a thousand users.
Design that does not look generated
Interface and brand work by designers, not a component library left on its defaults. Your product should look like it was made on purpose, because prospects decide what they think of it in about four seconds.
AI integration
AI inside the tools your company already uses. Privacy-compliant, costs you can predict, and the people you talk to are the people who build it.
We write the code
The people on the call are the people in the repository. No handoff to a delivery team you never met, no offshore subcontractor, no account manager relaying your questions to someone else.
Real cost models
API spend, hosting, and maintenance modeled before you commit and metered after, with caps in the code. Nobody gets a surprise invoice because a loop ran overnight.
EU and GDPR by architecture
Data residency, model choice, retention, and audit trail designed in at the start rather than patched on for the auditor. Sensitive processing can stay inside the EU, or on your own servers where the law requires it.
It connects to what you already run
Sales, operations, and finance systems, mailboxes, file shares, databases. We integrate through the interfaces your vendors actually expose, and we tell you plainly when a system has none.
Custom platforms
Portals, management systems, internal tools, marketplaces. Solid platforms delivered in weeks and looked after once they're live.
Weeks, honestly
Typical scope ships in 3 to 6 weeks because the stack is standardized and we leverage AI heavily on our own work. Not because we cut corners that you pay for later.
A real back office
Every platform gets an admin area built for your team, not a database viewer. You add users, change content, adjust settings, and pull reports without opening a ticket with us.
It talks to your other tools
Accounting, payments, calendars, mailboxes, the CRM. A platform that does not integrate just becomes one more place where somebody retypes the same information.
AI-ready by default
The same architecture our AI products use. When you want document parsing, drafting, or search across your own data, it lands as a feature rather than a rebuild.
What we decline.
Saying this in public saves everyone a call. It is also the fastest way to tell you what we are good at.