Engineering studio
We build web platforms, integrations and AI automation for businesses whose data lives in several systems at once: storefront, ERP, warehouse, CRM, payments, mobile app. The team works from Uzhhorod, Kyiv and remotely across Ukraine, with clients in Ukraine and the EU.
What we do
End to end: architecture and code, deployment, monitoring and protection. We own the whole job, including how it runs in production.
Agents that handle routine inside your processes: triaging requests, preparing documents, classifying and enriching data, answering repetitive questions.
Catalogs, marketplaces, customer portals and admin panels built for high load — like the commerce platform in our case study, with 300–400k monthly users.
We connect systems that were not built to work together and make the exchange predictable: retries, logs and failure monitoring.
Collection platforms over websites, open APIs and Telegram: with normalization, deduplication and failure control.
Flutter apps for the App Store and Google Play together with the API behind them — from the first release to ongoing updates.
Deployment, CI/CD and security: releases go out without surprises and the server has DDoS and intrusion protection and restricted access.
We bring back into search the pages Google doesn't see, and make the site fast and secure — with a 301 redirect map, a baseline before changes and a before/after report.
Expertise
The technologies we have used to launch and support systems under real load.
Track record
We do not disclose client names. Below are the problems, the solutions and the technologies they run on.
A catalog of 800k SKUs, 300–400k monthly users and a mobile app. We run the backend, frontend, integrations, CI/CD and production support. The legacy PHP monolith moves to Laravel in stages: behind feature flags, with tests on the money paths and an instant switch-off for any change.
Django backend and admin panel: organizations, doctor roles and permissions, checkups with images, billing and notifications. Patient images go to Azure AI analysis and the result returns into the clinical workflow — with access control over sensitive medical data.
A Node.js station gateway: long-lived TCP sessions over a custom binary protocol, with Redis Pub/Sub between the socket layer and the API. Remote commands, live session state, uptime telemetry and billing, a PostgreSQL schema, a React admin panel and the API for the mobile app.
A collection platform over 100+ sources — sites, open APIs and Telegram — with normalization, deduplication and failure monitoring. Alongside it: a FastAPI publishing platform with an editorial moderation queue and an SEO layer, and a market-data lab on TimescaleDB with a rules engine over 40+ risk parameters.
How we work
We start small and verifiable. Every step ends with something you can see and judge.
We look at the processes, the data and the systems already in place, then come back with the tasks where automation gives a measurable effect and the ones where it would not pay off.
We take on one task and finish it in a few weeks. The success criterion is agreed before the start, so the result does not depend on interpretation.
We take the solution to production: integrations with live systems, tests on the critical paths, deployment without stopping the work.
We monitor failures, update, protect against attacks and keep developing. The infrastructure and the code stay yours.
Questions
With a short audit: we look at the processes, the data and the existing systems, then return with the tasks where automation gives a measurable effect. Then we take one of them into a pilot.
Usually a few weeks. A pilot closes one specific process and has a clear success criterion agreed before the start. If the result is not reached, that is an answer too — obtained cheaply.
Yes. We work through the exchange contracts that already exist: REST, OAuth, message queues, webhooks. Integrations are added on top of the system, without rewriting the accounting core.
Yes — through staged migration behind feature flags: new code ships in parts, critical paths are covered by tests, and any change can be switched off instantly.
AI agents work in our development every day under clear rules: each project has its own agent settings, tasks come as written specifications, every change is checked automatically against real examples, AI model costs are tracked, and separate safeguards keep passwords and access keys out of the agents' reach. A person decides what goes into the live code.
We provide production support: failure monitoring, updates, protection against attacks and further development within an agreed budget of hours. The infrastructure and the code stay yours.
The founder works from Uzhhorod; the team works from Kyiv and remotely across Ukraine. The work is remote, so the client's city does not matter: we take projects from Kyiv, Lviv, Odesa, Dnipro and from abroad — EU countries, including neighbouring Slovakia and Hungary. When it helps, we meet in person in Uzhhorod or Kyiv.
Contacts
Tell us in two paragraphs what's not working. We will tell you whether we take it on and where we suggest starting. Meetings online, or in person in Uzhhorod or Kyiv.
