Extrums

AI made code cheap. Getting it right still takes engineers.

We are an AI-augmented software engineering company: about fifty engineers in Ukraine and across Europe, building software since 2019.

Grey stone blocks assembled into one precise cube, with a blue block set near its top-right corner.

Before

Software was expensive, so it was built once and shared.

A product took ten to twenty developers, plus designers and managers. Few businesses could pay for that alone, so it was built once and rented to thousands as SaaS.

One large stone block with rows of small identical blocks lined up in front of it.

SaaS is the average answer to many companies' problems. It fits everyone a little and no one completely, so every business bends its process to the tool.

Now

Writing code now costs almost nothing. Almost.

AI took the cost of writing code close to zero. Not to zero: a developer's AI tools alone run from about $100 a month.

Several small structures of stone blocks, each a different shape, one topped with a blue block.

But a business can now own software shaped to how it actually works: its own CRM, its own back office, its own processes. That is a new level of autonomy, for far less than it used to cost.

35% of teams have already replaced at least one SaaS tool with software of their own. Retool, 2026

The catch

So everyone is building. Most of it is a mess.

Anyone can generate an app now, and many do: a flood of software of every shape, and of very uneven quality.

A crowded sprawl of stone block towers of every height, some collapsed into rubble.

Models get better every month, but they do not promise to do what you meant, and they explain themselves in language only an engineer can check.

45% of AI-generated code samples failed security tests and introduced known vulnerabilities. Veracode, 2025

Where we come in

The best AI developers are still experienced developers.

They know what to ask the model for, and whether its answer is right. Someone still has to stand between the AI and the business: decide, coordinate, and set up the process.

A straight line of stone blocks with a blue block at its head.
  • We know what is worth automating, what is not, and how to do it so it shows in your costs.
  • We run the agents, set up the workflows and make sense of what comes back, so your time stays on your business. Time is the one thing AI cannot give back.
  • You may not need twenty developers any more. You still need some: a business is not one founder prompting an AI coding tool.

67% of AI projects built with a specialist partner succeed; built in-house, a third as often. MIT NANDA, via Fortune, 2025

Why us

What you get, whichever case is yours.

About fifty engineers, building since 2019. Every project we have taken on went live.

  • The engineers themselves

    You talk to the people who do the work, with no account managers in between.

  • Yours from the first commit

    The code lives in your repositories and runs in your cloud account. Nothing stops working if we do.

  • Working software, early

    You see it running on your real data as it takes shape, not in a demo at the end.

  • Ready to go live

    Tests and the delivery pipeline are built alongside the work, so what we hand over can ship.

  • Knowledge that stays

    Documentation is written as we go, so nothing depends on one person's memory.

  • AI where it earns its place

    AI to move faster, and experienced engineers to make sure what it makes is right.

Where we can help

Find your case.

  1. You have an idea, and no time to build it
  2. You built it with AI, and it is stuck
  3. It works, and nobody dares touch it
  4. You took over engineering, and need a team
  5. It works, but looks like everything else
  6. Your SaaS fits half of how you work
  7. People retype documents by hand
  8. Nobody can find the answer
  9. Your systems do not talk to each other
  10. You want AI, and are not sure where it pays
  11. Your team has AI, and ships no faster
  12. You run AI, and cannot tell if it works

Case 01 of 12

You have an idea, and no time to build it.

You know what it should do. What you do not have is the weeks to turn it into software, or a team to hand it to.

A loose heap of stone blocks on a dark table, one of them blue.

How we help

  1. We talk it through with you and write it down as a plan: what to build first, what to build it on, and what to leave out for now.
  2. We build a working prototype and put it online, so you click through the real thing instead of reading a specification.
  3. When it proves itself, we grow it into a product people can sign up for and pay for.

Why it is worth it

Your time goes into decisions, not into managing developers. And the prototype becomes the product, so nothing you paid for is thrown away.

Case 02 of 12

You built it with AI, and now it is stuck.

An app built by prompting works until it does not. Every fix breaks something else, and nobody can say what the code really does.

A tall tower of stone blocks, leaning and cracked at its base.

How we help

  1. We read the code and tell you plainly what is solid, what is fragile and what is unsafe.
  2. We add what AI tends to skip: tests, a proper release process, and monitoring that spots a failure before your users do.
  3. We take it to production and stay on to keep it stable while you grow.

Why it is worth it

You keep what you have built instead of starting over, and your users stop being the ones who find the bugs.

Case 03 of 12

It works. Nobody dares to touch it.

The business runs on it, but every change takes longer than the last, and the people who built it have moved on.

A tower of stone blocks standing straight and even, one block in its middle blue.

How we help

  1. We read the old code, with AI doing much of the heavy reading, and write down what it actually does.
  2. We fix what hurts most first: the slow pages, the releases that fail, the cloud bill that grows faster than the business.
  3. Then we renew it piece by piece while it keeps running, instead of betting everything on one big rewrite.

Why it is worth it

The system your business depends on becomes something you can change again, without the risk and cost of replacing it all at once.

Case 04 of 12

You have just taken over engineering, and the product cannot wait.

You joined as CTO, VP of Engineering or team lead. The company is growing faster than its engineering, or the product is struggling to deliver at all, and hiring the right people takes months you do not have.

A round tower of grey stone blocks, its top ring still open, standing on a cluster of blue blocks in its lowest courses.

How we help

  1. We start with you: what the product needs, where delivery is stuck, and the team you want to end up with.
  2. Experienced engineers join the product first and get it shipping again, while we hire the rest of the team to your profile.
  3. We run the team day to day with you, setting up the process, reviews and releases, until it stands as your own engineering branch.

Why it is worth it

You spend your first months leading, not recruiting, and the product keeps moving while the team grows. Our most successful work began exactly like this.

Case 05 of 12

It works, but it looks like everything else.

AI builds interfaces that all look alike. It cannot tell what feels right to your customers. A person can.

A row of rough stone blocks with one block among them cut clean and polished.

How we help

  1. Our designers and front-end engineers shape the interface around your product and your customers, not around the model's defaults.
  2. Someone with an eye for it goes over every screen and fixes what the model missed: spacing, flow, the details that make it feel finished.
  3. We leave you a design system, so whatever is built next, by people or by AI, stays consistent.

Why it is worth it

People judge a product in seconds. One that looks cared for earns trust that a generic one has to work much harder to win.

Case 06 of 12

You pay for software that fits half of how you work.

Off-the-shelf software is built for the average customer. Every rule of yours it cannot follow turns into a spreadsheet, a workaround or a manual step.

A stone wall with a custom-cut blue block fitted exactly into its gap.

How we help

  1. We sit with the people who use the tool and map how the work really flows, and where the software gets in the way.
  2. We build your own CRM, back office or portal around that flow, in your repositories and your cloud account.
  3. We move your data across, and you retire the old subscription when your team is ready.

Why it is worth it

The software finally fits the way you work, the workarounds go away, and you own it instead of renting it seat by seat.

Case 07 of 12

Your people retype documents by hand.

Invoices, contracts, forms and orders arrive as files, and someone copies them into your systems one field at a time.

A loose pile of stone tiles, a blue block, and the same tiles laid into a neat wall.

How we help

  1. We set up AI that reads the documents you actually receive and pulls out the data you need.
  2. Anything it is unsure of goes to a person to confirm, with the original document right beside it.
  3. The data lands in the systems you already use. Sensitive files can stay on your own servers.

Why it is worth it

Your people stop copying and only check what needs a human eye. The hours that went into retyping go back to work that needs them.

Case 08 of 12

The answer exists. Nobody can find it.

It is somewhere in the shared drive, the wiki, an old ticket or someone's inbox, so people interrupt a colleague instead.

A tall stack of thin stone slabs with one blue slab pulled out of it.

How we help

  1. We connect the places your knowledge already lives, keeping the access rules you already have.
  2. We build an assistant that answers from your own documents and shows where each answer came from, so it can be checked.
  3. Before anyone relies on it, we test it on real questions from your team and fix what it gets wrong.

Why it is worth it

New people get up to speed without pulling your experts away, and an answer no longer depends on who happens to remember it.

Case 09 of 12

Your systems and your people do not talk to each other.

Your data sits in five different tools, and people carry it from one to the next by hand.

Stone blocks spread in a network, joined by thin rods to a blue block at the centre.

How we help

  1. We connect your systems and put AI agents between them that act as things happen: a request is routed, a reply drafted, a record updated.
  2. Every action is logged, so you can always see what the AI did, and why.
  3. It is built into the team and the product you already have, not added as one more tool beside them.

Why it is worth it

Work moves on by itself through the steps that used to wait for someone, and your team spends its day on the parts that need judgement.

Case 10 of 12

You want AI in the business, and are not sure where it pays.

It takes time and know-how to see where AI fits a workflow, where it only adds cost, and whether your data is ready for it.

Stone blocks sorted into a neat grid, with a few set aside and one of them blue.

How we help

  1. We walk through your workflows with the people who actually run them.
  2. We sort what can be automated, what should stay with a person, and what each change would be worth to you.
  3. You get a plan ordered by its effect on your costs. We can build it, or hand it to your own team.

Why it is worth it

You spend on AI where it pays back, and skip the expensive experiments that go nowhere.

Case 11 of 12

Your team has AI tools, and ships no faster.

Writing code got faster. Reviewing it, testing it and deciding what to build did not, so the bottleneck simply moved.

A blue block standing beside a grey stone block, as a pair.

How we help

  1. Our engineers work alongside yours on real tasks, not in a classroom.
  2. Together we set up the tools, conventions, reviews and tests that let AI-written code be trusted at speed.
  3. We measure before and after, so you can see what changed.

Why it is worth it

The AI tools you already pay for start turning into shipped work, and the habits stay with your team after we step back.

+91% code review time on teams with high AI adoption, which merged 98% more pull requests. Faros AI, 2025

Case 12 of 12

You already run AI, and cannot tell if it is working.

A model that was right last month can drift, cost more, or say something it should not.

A tower of stone blocks held straight inside a thin metal frame, one block blue.

How we help

  1. We build checks that score its answers against what good looks like, on your own data.
  2. We add guardrails, and a clear path to a person for the cases the model should not decide alone.
  3. We watch quality and cost over time, so problems and the bill are seen before they grow.

Why it is worth it

You can stand behind what your AI tells customers, and you know what it costs you every month.

What happens next

Which one is yours?

Whichever it is, the first step is the same: a technical call with the engineers who would do the work. No pitch, and no obligation either way.

Book a call
Small structures of stone blocks, each a different shape, the one in the middle topped with a blue block.