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SEVENEDGE ADRIAN HUNIA

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We build software that makes money

SEVENEDGE is a Polish software house founded by two senior engineers who design, build, and ship digital products end-to-end. We specialize in custom web applications, MVPs for startups, and AI-powered automation for growing businesses across the EU and US.

  • Min project size
    $5,000+
  • Hourly rate
    $50 - $99 / hr
  • Employees
    2 - 9
  • Year founded
    Founded 2026

Service Lines
Custom Software Development
30%
Web Development
25%
AI Development
20%
AI Agents
15%
Mobile App Development
10%

No Focus Areas have been added yet…

Industries
Hospitality & leisure
50%
Manufacturing
50%
Clients
Small Business (<$10M)
75%
Midmarket ($10M - $1B)
25%

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Our Story

SEVENEDGE builds custom business software from Krosno, in the Rzeszow area of southeastern Poland. We started because too many companies run on spreadsheets, paper and four disconnected tools that nobody owns. We build the one system that replaces all of it, and we keep it running afterwards. Clients talk to the engineers who write the code, and to the same people who answer when something breaks at 2am. Working software every week, not one reveal at the end.

What Sets Us Apart

You talk to the engineers who write the code

No account managers, no hand-offs, no junior learning on your budget. The person who scopes your project is the person who ships it, and the person who answers when production breaks. Decisions happen in hours, not sprints.

One fixed price, agreed in writing before we start

A free first call, then a fixed scope and a fixed price on paper before anything begins. Payment in stages, tied to working software. No hourly surprises, no change-request games, no invoice you did not see coming.

Software built to survive a factory floor

Our systems run in a precast concrete plant and a hotel, on phones on the floor and terminals by the door. We hardened offline sync after a real power outage on site. Production-grade from day one: CI/CD, automated testing, monitoring, and GDPR from the first commit.

Tools and Technology

GitHub
Docker
Vercel
Cloudflare
Zapier
Make

Commonly Asked Questions

Hospitality and manufacturing, mostly. We have a hotel property management system and a time and attendance system running in one venue, and a production management system running in a precast concrete plant in Sanok, Poland. If you are in either, we already know where your problems are: the double entry between four tools nobody owns, the paper that gets typed into a spreadsheet at the end of every shift, the report that takes a person a day to assemble. The rest is general business software, where the industry matters less than the data model. What matters is whether the process is well enough understood to be written down. If it is, we can build it. If it is not, that is what the paid discovery sprint is for.

Hospitality and manufacturing, mostly. We have a time and attendance system with automatic payroll running in a hotel and spa venue, a production management system running in a precast concrete plant in Sanok, Poland, and a full hotel property management system in active development. If you are in either industry, we already know where your problems are: the double entry between four tools nobody owns, the paper that gets typed into a spreadsheet at the end of every shift, the report that takes a person a day to assemble. The rest is general business software, where the industry matters less than the data model. What matters is whether the process is well enough understood to be written down. If it is, we can build it. If it is not, that is what the paid discovery sprint is for.

TypeScript everywhere. Next.js and React on the front, Node.js on the back, PostgreSQL underneath, React Native when it genuinely has to be an app rather than a PWA. For AI work we build on Claude and OpenAI models, wired into real systems through n8n or straight into the codebase, not as a chat window bolted onto the side. We deploy on Linux servers we manage ourselves, behind nginx. We do not pick a stack per project. A small senior team cannot be excellent in six of them, and the client is the one who pays for the learning curve when you pretend otherwise.

An MVP is four to eight weeks. AI and automation work is usually one to three weeks. A custom system is three to six months, delivered in working increments rather than one reveal at the end. We quote a fixed scope and a fixed price after a paid discovery sprint, so the timeline you get is one we have actually costed rather than one we hope for. Payment is staged against those increments. If week three looks wrong, you find out in week three.

Everything we ship is built to GDPR from the first commit rather than audited into compliance later. On our time and attendance system that meant a full data processing package, including a processor and sub-processor split and a generator for the legal documents the client has to produce for their own employees. We host in the EU on infrastructure we manage. We do not send your data anywhere you have not agreed to, and that includes AI providers: nothing goes to an external model unless it is in scope and you have signed off on it.

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