We bring order to chaos.And make your product production-ready.

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.

2019Projects that don't end

Our first clients from 2019 are still clients. The software keeps evolving, with the same people who built it.

~50In-house engineers

Architecture, data, backend, frontend and mobile, mid-to-senior. No account managers between you and them.

6Disciplines under one roof

Design, architecture, full stack, data, AI integration and automation, in one accountable team.

Every project we have taken on went live.

See the work →

One team from interface to infrastructure

Design, architecture, data and delivery sit with the same people, so nothing falls between two vendors and nobody has to translate between them.

Proposed engagement model · durations to confirm

Assess

01

Two weeks, fixed scope, and a written answer. We map your stack, your data and how the work actually gets done, then name the shortest path to production. That includes where AI could take routine work off people’s hands, and what not to build.

How the assessment is priced
How we use AI

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.

  • Planning with AI

    Scope, architecture options, risks and estimates are drafted with models and checked by the engineers who will build the thing.

  • Building with AI daily

    Code, tests and reviews go through models as a matter of course. What ships is still decided by people who know the system.

  • AI workflows, automated

    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.

  • AI wired into one system

    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.

  • LLMs that follow the spec

    Structured outputs, guardrails and evals, so the model does what the spec says on the thousandth run, not just in the demo.

  • LLMs where people read

    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.

Build

02

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.

Your repos and cloud from commit one

The code lives in your repositories and runs in your cloud account. No vendor runtime, nothing that stops working if we do.

Shown on your own data

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 CI as we go

Tests and the delivery pipeline are built alongside the work, so whatever we hand over is ready to go live.

How we build

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.

Operate or hand over

03

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

Hand over

Pairing with your engineers

We work alongside your team rather than instead of it, until they own the system.

Operate

On-call cover if you want it

If you would rather we keep running it, we stay on call for the system we built.

Either way

Runbooks and architecture docs

Written as we go, not at the end, so nothing depends on one person's memory.

What we own, end to end

  • System-level and pixel-perfect: design tokens, not one-off screens.

    • Design systems
    • UX
    • Prototyping
  • Distributed, built for evolution, and written down before it is built.

    • AWS
    • Docker
    • Kubernetes
  • Frontend to infrastructure, web and mobile, one accountable team.

    • TypeScript
    • React
    • Vue
    • Node.js
    • PHP
    • Laravel
    • React Native
    • Shopify
  • From zero to 100M requests, with the migration path in between.

    • PostgreSQL
    • Redis
    • Python
    • FastAPI
    • Go
  • LLMs and agents where they solve a real problem, with evals and a human path for uncertain cases.

    • Anthropic Claude
    • OpenAI
    • LangChain
    • LlamaIndex
    • Pinecone
    • Weaviate
  • Pipelines, monitoring and agents that run without someone watching.

    • CI/CD
    • MLflow
    • Hugging Face

Seven years. Same people.

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.

  1. 2019

    Founded

    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.

  2. v1.0

    First product shipped

    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.

  3. Now

    How we work now

    Engineering first, AI on top. Proven methods where they hold up, language models and ML where they earn their place.

Andrii Kishchak

Andrii Kishchak

Founder & CTO

14+ years, C++ to cloud-native. Has led teams of up to 30 and built platforms for tens of millions of users.

  • ~50

    The rest of the team

    Experienced engineers across full-stack, data, infrastructure and QA. No account managers between you and them.

  • 11

    Sectors built for

    From marketing and e-commerce to finance, AI platforms, hospitality and HR tech. The same in-house engineers across all of them.

FAQ

Questions

Something else? Ask an engineer at software@extrums.com.

  • Probably not. When a team can't keep up, the cause is seldom headcount. More often the processes are set up the wrong way, and nobody has worked out where AI could take routine work off people's hands. Fix that, and you may need fewer engineers, not more. That's the part we help with.

  • No. Untangling a legacy system and fixing it has never been easier. Models read old code fast, and our engineers check what they find. If you’ve been putting the upgrade off, there’s no better time than now.

  • You do. It goes into your repositories from the first commit and runs in your cloud account. There’s no runtime of ours in between, so nothing breaks if we part ways. Same with the runbooks and docs we write along the way. And the architecture from Assess is yours to keep, whether or not we build it.

  • Where we can, we work inside your cloud account, so the data stays where it already lives. If we need a sample on our own machines, it’s anonymised first. And we agree with you in writing what goes into it before anything leaves your account.

  • In Ukraine and across Europe. Extrums was founded in Ukraine, and the team now works from there and from other parts of Europe. If you’re in Europe, we keep your hours. If you’re on the US East Coast, our afternoon is your morning.

  • That’s the point of hiring a company rather than a person. Extrums answers for the whole solution, whoever happens to be working on it. Two engineers know every engagement, and the architecture and runbooks are written as we go, so if someone leaves, your project keeps moving.

Tell us what you're [building]

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.

Scrambled to solved, one move at a time. The blue piece is your project.