We build software at AI speed, with one senior engineer accountable for every line.

It means AI is used in the day-to-day mechanics of engineering — requirement analysis, code generation, test writing, migration analysis, documentation and operational triage — and it also means we know how to build AI features into your product. What it does not mean is unreviewed generated code: every change is read, reasoned about and signed off by the principal engineer, and gated by automated checks.

Three ways. AI removes most of the mechanical effort that used to require extra hands, so one experienced engineer covers ground that recently needed several. We keep only two engagements active at a time, so your work gets genuine attention rather than a slice of a shared team. And when a project needs range we do not have in-house — specialist mobile, design, security or data work — we bring in vetted specialists from our network under the same standards and the same accountability. If a project genuinely needs a twenty-person team, we will tell you that in the first call.

Continuity is designed in rather than promised. Everything runs in your accounts and repositories, decisions are documented as we go, and infrastructure is reproducible from code. For longer engagements we name a backup engineer from our network up front, so there is always someone briefed on your system.

A discovery sprint can usually begin within one to two weeks of the first conversation, subject to current capacity. Larger builds depend on the skill mix required, and we will always give you an honest start date rather than an optimistic one.

You do, in full. We work in your repositories and cloud accounts wherever possible, and IP assignment is part of the contract from the start.

Yes, and most clients do. A typical path is a discovery sprint, then a pod for the initial build, then a support retainer once the product is live and stable.

We scope data access to the minimum required, keep client data out of model training, prefer providers with zero-retention terms for sensitive workloads, and can work entirely within your own cloud and tooling when your policies require it.

Often. We can lead delivery, embed alongside your engineers, or act purely as an advisor and reviewer — the engagement model is chosen to fit how your team already works.

You get the senior engineer instead of the sales team. There is no bench to keep busy, no margin on junior hours and no incentive to stretch scope, so the advice you get is the advice we would follow ourselves. The trade-off is capacity: we cannot start five projects next month, and we will say so rather than take the work.