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Services

From architecture design to contractual support

We can take on the entire life cycle of a system, or step in where you lack capacity. It usually comes down to one of these four.

Application development

Custom business and web applications — from internal tools to systems your daily operations depend on.

  • Web and business applications in .NET and TypeScript
  • REST and gRPC APIs, integrations with existing systems
  • Migrating legacy applications to a modern stack
  • Automated testing and CI/CD from day one

Infrastructure on AWS and Azure

Design, build-out and maintenance of cloud infrastructure — described in code, not clicked together in a console.

  • Environment architecture on AWS and Microsoft Azure
  • Infrastructure as Code — Terraform, Bicep
  • Containers and orchestration, Docker and Kubernetes
  • Monitoring, logging, backup and recovery

Maintenance and SLA support

Delivery is not the end. We take responsibility for operations with guaranteed response times.

  • Contractual support with defined response times
  • Ongoing maintenance, updates and security patches
  • Operations monitoring and incident resolution
  • Consulting and evolving the solution throughout its lifetime

How the collaboration runs

Four phases, none of them mandatory

Most projects go through all four. But if you only need an audit, or just operational support for an existing system, we start where it makes sense.

  1. Analysis

    We work out what the system really has to do, what its constraints are and where the risks lie.

  2. Design

    We design the architecture and pick technologies that will still make sense five years from now.

  3. Implementation

    We deliver in increments, with automated deployment and visible progress.

  4. Operations

    We monitor, update and evolve the system according to the agreed level of support.

AI in the process

AI tools help, they do not decide

We use appropriate AI tools in our work. They do not replace an analyst or a developer — responsibility for the design and the code stays with people.

When working with data, we do not stop at MCP servers. We use our own analytical tools that access databases without direct AI interaction — on request they only run analytical scripts, and the AI works with their results.

  • They help keep the project consistent — conventions and structure across the entire codebase
  • They help identify critical parts of the code that deserve the strictest scrutiny
  • They review pull requests as an extra pair of eyes before human review

Not sure which box your project fits into?

Most projects do not fit neatly into one. Get in touch and we will walk through it together.