Extrums is an AI-augmented software engineering company. Architecture, data, backend, frontend and mobile have been our craft since before AI. AI on top of that makes us stronger.
No two projects are the same. We find the underlying system and build something that holds.
Our first clients from 2019 are still clients. The software keeps evolving, with the same people who built it.
Architecture, data, backend, frontend and mobile, mid-to-senior. No account managers between you and them.
Design, architecture, full stack, data, AI integration and automation, in one accountable team.
Every project we have taken on went live.
See the work →Design, architecture, data and delivery sit with the same people, so nothing falls between two vendors and nobody has to translate between them.
Two weeks, fixed scope, and a written answer
We map your stack, data and constraints, then name the shortest path to production, including what not to build.
The right parts, put together for the task.
A working system is made of parts, and AI is one of them. We plan with it, build with it and wire it in next to everything else. The work is deciding which part goes where.
Scope, architecture options, risks and estimates are drafted with models and checked by the engineers who will build the thing.
Code, tests and reviews go through models as a matter of course. What ships is still decided by people who know the system.
Prompts, evaluations, retries and review run as a pipeline, the same way the rest of the delivery does. Not a chat window someone has to babysit.
Language models and classic ML, wired in with search, rules and plain code. Each part does what it is good at, and the seams are ours to own.
Structured outputs, guardrails and evals, so the model does what the spec says on the thousandth run, not just in the demo.
A language model where a person is on the other end. Where nobody is, a classifier, a query or a cron job does it cheaper and more predictably.
In the format your project needs
Scrum, Kanban, a quick prototype, a consultation, or a rescue for a project that is already on fire. You pick the format and we fit around it. Whatever the shape, the result is working software running against your data.
The code lives in your repositories and runs in your cloud account. No vendor runtime, nothing that stops working if we do.
Whatever the format, you see the work running against your real data as it takes shape, not in a staged environment at the end.
Tests and the delivery pipeline are built alongside the work, so whatever we hand over is ready to go live.
System thinking over templates. Every system has forces to withstand: the data it carries, the load it takes, the people who use it and the rules it answers to. We model them first and design to hold them.
Decided at the start, not at the end
We document, train your team and step back, or stay and run it. Either way the knowledge stays with you.
What the last phase includes
Written as we go, not at the end, so nothing depends on one person's memory.
We work alongside your team rather than instead of it, until they own the system.
If you would rather we keep running it, we stay on call for the system we built.
System-level and pixel-perfect: design tokens, not one-off screens.
Distributed, built for evolution, and written down before it is built.
Frontend to infrastructure, web and mobile, one accountable team.
From zero to 100M requests, with the migration path in between.
LLMs and agents where they solve a real problem, with evals and a human path for uncertain cases.
Pipelines, monitoring and agents that run without someone watching.
Founded in Ukraine
We started in 2019 as a small in-house team and grew into full-cycle engineering. The people are the same, and so are the first clients.
Founder & CTO
14+ years, C++ to cloud-native. Has led teams of up to 30 and built platforms for tens of millions of users.
Experienced engineers across full-stack, data, infrastructure and QA. No account managers between you and them.
From marketing and e-commerce to finance, AI platforms, hospitality and HR tech. The same in-house engineers across all of them.
Extrums was founded in 2019 as a small in-house team. It is still all in-house today, and our first clients are still with us.
In 2019 we shipped our first product, and a large one. The roots go much deeper: the team built its expertise across the decade before.
Engineering first, AI on top. Proven methods where they hold up, language models and ML where they earn their place.
Something else? Ask an engineer at software@extrums.com.
Because you probably don't have people who have shipped this specific thing before. We work alongside your team rather than instead of it, and the hand-over phase exists so the knowledge stays with you.
No. Most real work is integration work. We start from what exists rather than proposing a rewrite you can’t justify.
You do, from the first commit, in your repositories. No vendor runtime, nothing that stops working if we do.
We work inside your cloud account and against your data where possible. Any sample for local work is anonymised and agreed in writing first.
In Ukraine, on Eastern European Time. That covers the full European working day and overlaps with the US East Coast morning.
Two engineers know every engagement, and the architecture and runbooks are written as we go, not at the end.
A technical call is the quickest way to see what the first phase would contain. Work is quoted after that call, with a $5,000 minimum.