Banking sector in Slovakia
Years of development for leading Slovak banks — ČSOB, Poštová banka, 365.bank and Zuno. An environment where stability and security aren't optional.
Backend development & software architecture
Robust software
you can rely on.
We design and build backend systems and microservices architecture in Java and Python — from the first line of code to production deployment in a containerized environment.
10+years of backend development experience
Java & Pythonthe core of our technology stack
Cloud-nativefrom Docker to Kubernetes
Proven in practice
Experience across industries
Years of development in environments where code quality, reliability and security genuinely matter — from banking, through telecommunications, to large-scale retail networks.
International wealth-management platform
We contributed to the development of a global wealth-management platform used by leading players such as UK bank Barclays or Swiss private bank Bergos.
Loyalty & gamification for a fuel station network
We developed an application for a large fuel station network featuring a custom loyalty program and gamification elements — proof that backend work isn't just about transactions, but also about a fun user experience.
Telecommunications current
We currently deliver backend solutions for the telecom operator 4ka.
What we offer
Services
Comprehensive backend development coverage — from architectural design, through implementation, to operations and knowledge transfer.
Backend development
Design and implementation of server applications and APIs in Java (Spring Boot) and Python, with an emphasis on readability, testability and long-term maintainability.
Microservices architecture
Breaking down monoliths into well-bounded services, designing communication patterns (REST, event-driven, message queues), and solutions for scaling under real-world load.
Databases & data models
Design of relational and NoSQL data models, query performance optimization, and migrations of existing systems without downtime.
Containerization & Kubernetes
Dockerizing applications, designing Kubernetes manifests, and CI/CD pipelines for reliable, repeatable production deployments.
Architecture & consulting
An independent view of your existing system, identifying risks and bottlenecks, and designing target architecture and a migration roadmap.
Mentoring & programming lessons
Individual and team mentoring in Java and Python — from fundamentals to advanced architectural patterns, code review, and sharing best practices.
Tools we use
Technologies
Backend
Java
Spring Boot
Python
FastAPI
Apache Camel
REST / gRPC
Data
PostgreSQL
Oracle
MySQL
Redis
MongoDB
Infrastructure
Docker
Kubernetes
Argo CD
Harbor
Trivy
Linux
Messaging & integrations
Kafka
RabbitMQ
Webhooks
Our approach
We build software
to last.
We don't just focus on making code work today — we care about how it can be extended and maintained two years from now. That's why we emphasize clean architecture, clear documentation, and transferring know-how to your team, not just delivering a finished product.
- Custom development tailored to real project needs
- Architectural decisions grounded in practical experience
- Emphasis on testability and code maintainability
- Transparent communication throughout the project
- Knowledge transfer through consulting and mentoring
Quality as a standard, not an exception
We take testing
as seriously as development.
Code without tests is just a promise that it works. That's why testing has been part of our development process from day one, not an afterthought before delivery — it lets us change and extend systems with confidence that nothing broke.
- High unit test coverage for every new feature
- Integration tests verifying real cooperation between services, APIs and databases
- Automated test runs in the CI pipeline on every commit
- Testing as part of the definition of done, not a separate extra task
- Emphasis on readable, maintainable tests — not just tests that "pass"
Education built on solid foundations
Lessons and mentoring that
teach you to think — not copy.
We don't believe in fast-track courses that teach you to assemble a website from a tutorial in a few weeks. Programming is a craft built on solid foundations — algorithms, data structures, and the principles of theoretical computer science — which we then translate into real, maintainable and secure solutions. We mentor individually and in small groups, with an emphasis on understanding principles, not just the syntax of one framework.
- Foundations built on mathematics, algorithms and data structures
- A path from theory to real projects, not just isolated exercises
- Emphasis on secure coding habits from the very start
- Individual and group mentoring tailored to the student's level
- Regular code review and feedback, not just lectures
An independent outside perspective
Consulting services
for companies.
We help companies with an independent view of their technology and processes — from assessing existing architecture, through preparing systems for growth, to providing a foundation for important technology decisions. The goal is to give both leadership and the development team a clear, understandable basis for decision-making — not just another technical document in a drawer.
- Independent assessment of existing architecture and technical debt
- Recommendations that are clear even to non-technical leadership
- Preparing systems for growth and higher operational load
- Security and performance audits of backend systems
- Support in choosing technologies, architecture and vendors
A modern approach to development
AI as a tool, not a replacement
for engineering judgment
In development, we regularly work with modern AI tools, including Claude — they speed up prototyping, generating solution drafts, and routine parts of implementation. Architectural decisions, code review, testing, and responsibility for the resulting quality, however, always remain with an experienced engineer. AI helps us deliver faster — not less thoroughly.
Faster from idea to solution
We use AI tools for prototypes, API design, and first versions of code — the time saved is reinvested into more thorough testing and fine-tuning the details.
The engineer decides, not AI
Key architectural choices, security, and code quality always go through human review — AI is a helper in implementation, not the author of decisions.
Transparency
On projects, we can clearly state where and how AI helps in the process — without hiding it, and without pretending it provides quality it doesn't.
Let's talk
Have a project you'd
like to talk about?
Send us a few lines about what you're working on — we'll get back to you and go through how we might help.