Hiring a senior AI engineer takes months, costs a lot, and is hard to evaluate if nobody on your team has built AI systems before. Borrowing the capacity is often the better trade until the role is obviously full-time.
A fixed number of days per month, agreed up front, working inside your systems: your repositories, your issue tracker, your standups. Not a black-box engagement that reports monthly — we would rather be a member of your team who happens to be part-time.
The explicit goal is to make ourselves unnecessary. Every non-obvious decision gets written down with its reasoning, so the knowledge stays when we leave. The goal is that teams engaging us fractionally are self-sufficient within a few months, and we consider that the successful outcome rather than churn.
Month-to-month with a notice period at a month boundary. No annual commitment, because a year-long lock-in for a startup is a bet on a roadmap that will change.
Typical arrangements run from four to twelve days a month. Below about four days it is hard to hold enough context to be useful; above twelve you are usually better served by a scoped project or an actual hire, and we will say so.
A senior AI engineer in Western Europe costs meaningfully more than a mid-range fractional arrangement once you include employer contributions, equity, tooling and recruitment fees — and takes three to six months to arrive. Fractional starts in a week or two. The trade-off is real: a permanent hire gives you depth of product context and full-time availability that we cannot match. Past roughly full-time demand, hiring wins, and we will tell you when you cross that line.
Then the handover is the deliverable, and we plan for it. Documented decisions, architecture notes and onboarding time with the new hire. We will also sit in on technical interviews if that is useful — evaluating an AI engineer is genuinely hard without an AI engineer.
Not in a formal rotation with a paged SLA — that needs a team with proper coverage, and it would be irresponsible to pretend otherwise. What we do cover is quality monitoring, cost anomalies and model deprecations, which is where AI systems actually degrade. Infrastructure on-call should sit with whoever already owns your production stack.
Tell us what your team is stuck on and how much of it there is. We will tell you whether fractional is the right shape.
30-minute call · no deck
What we built, what stage it is at, and a link to the live thing wherever there is one.
yourOS is an operating system with an AI at its heart. You talk to it like a person, out loud or typed. It makes your calls, plans your days and works on your projects with a crew of agents, on your own private server. Our own product, built from the first commit; the waitlist is open.
Website, backend and app assets for Sonora, a free AI sound-therapy app on iOS and Android published by Cognitive AI.
Brand, website, prototype, apps on five platforms, the AI backend and the algorithm-intelligence pipeline for Podswap, a social growth engine that runs without a human in the loop.
In closed beta: Roxy, a private AI assistant with permanent memory running on infrastructure the user owns. Brand, site, product, backend and conversational design.
Live at coherence.com: brand identity generated with AI agents we directed, the motion system and website for the group behind Sonora, AboutAI, WakeUp and MudShadows. Agent work remains in build.
Live at domainbooth.com for DomainBooth, a premium domain brokerage: a new animated mark, every page redesigned and rebuilt with designed mobile layouts, and a custom CMS for its sales record, featured names, press and enquiries.
Apps, platforms and campaigns for these teams, long before the AI work. Every one is written up on the work page — what we did, and where our part ended.
