We6 Oy is a small senior team that designs, ships and operates real systems — web and mobile products, the cloud platforms underneath them, and the agentic workflows that are starting to run the work around them. The same engineering goes into our own products.
No hand-off to a junior bench after the pitch. The engineers who scope the work are the ones who write it, deploy it, and get paged when it breaks.
From a blank repository to a released product: interface design, the API behind it, and the mobile app beside it. Shipped in increments you can put in front of users, not in a six-month reveal.
AWS accounts that are set up deliberately — infrastructure in code, environments that match, deploys that are boring. We also take over estates that grew by hand and put them back under version control.
LLMs wired into the parts of a business where they actually pay for themselves: intake, triage, quoting, document handling. Built with evaluations, guardrails and a human in the loop where one belongs.
For teams without a CTO, or with one who is out of hours in the day: architecture reviews, roadmap and estimate sanity checks, hiring support, and a senior pair of hands inside your existing team.
The first milestone is something that runs — a working slice against real data, not a slide deck. It is much cheaper to change an opinion in week two than in month five.
Plain code, obvious structure, tests where they earn their keep, and documentation written as we go. Everything lives in your accounts and your repositories from day one.
Software is not finished when it is released. We stay available for the operating phase — monitoring, fixes, the next increment — or hand over properly to your team.
We pick tools with long support horizons and large hiring pools, and we are happy to work in whatever you already have.
Consulting pays for the products. The products keep the consulting honest.
Alongside client work we design, build and operate software of our own. It is the part of the business where we carry every decision ourselves: the pricing, the support inbox, the 2 a.m. alert, the cost of a bad schema three years later.
That changes the advice we give. When we argue for a smaller scope, a duller technology or a simpler data model, it is because we have paid for the alternative with our own money.
A short description of the problem is enough to start. We will tell you honestly whether it is something we should take on — and if it is not, what we would do instead.