Technology studio · London, UK · est. 2026
Mooshuroi is a small technology studio. We build and run our own software, and help other teams put AI to work, make sound technical decisions, and launch products that grow.
What we do
A few client engagements a year, alongside our own products. You work directly with the person doing the work: no account managers, no hand-offs.
Put AI to work where it pays for itself: features inside your product, automation for the work your team repeats every week, and the evaluations and guardrails that keep both honest.
AI integrationA senior technical voice without a full-time hire: architecture and code reviews, build-or-buy calls, fixed-price audits, and roadmaps you can act on with or without us.
Technical advisoryFrom "it works" to "it is live and growing": app store and web launches, payments and subscriptions, privacy-safe analytics, and being found in search and AI answers.
Launch and growthOur work
Everything we advise on already runs in software we own, pay for and support, starting with AlgoMind.
How we work
Mușuroi is Romanian for anthill: many small, deliberate moves that add up to something bigger than any one of them. It is also how good technology work gets done.
Your goals, constraints and numbers first, and a written agreement on what a good outcome looks like before any work starts.
The options, their trade-offs and their costs, laid out plainly, so decisions get made on evidence rather than enthusiasm.
The work itself, alongside your team: short cycles, progress you can see every week, and nothing that only we understand.
Documentation, handover and the few measurements that matter, so the results keep compounding after we step back.
Field notes
What you can still measure without a consent banner, what you cannot, and the simple rule for deciding whether a company site needs the heavier kind of analytics at all.
ReadWhat changed on our product site when we treated ChatGPT, Perplexity and Copilot as readers: answer-first pages, structured data that mirrors visible text, crawler rules, and how to tell whether it worked.
ReadThe honest split after a year of shipping a Kotlin Multiplatform app to iOS and Android: what lived in the shared core, what stayed native, and where pretending otherwise hurts.
ReadOne email a month: practical notes on putting AI to work, technical decisions and launches, taken from work we actually did.
Tell us where you are and what you want to change. You will get an honest reply within 2 business days, even if the answer is "not yet".