Projects and experience

Experience built on real-world challenges

Explore the areas we work in and the kinds of challenges we typically solve.

About our case studies

Many projects involve confidential client information, so we only publish case studies that are authorized or anonymized. While they are being prepared, we present our areas of experience and the kinds of challenges we work on.

Areas of experience

Where we can contribute

  • Enterprise integrations

    Communication challenges between systems, partners and platforms.

    Typical challenges

    • Data exchange between internal and third-party systems.
    • B2B integrations with partners and suppliers.
    • Webhooks, events and failure handling.
  • Application modernization

    Evolving legacy systems safely and step by step.

    Typical challenges

    • Technical debt reduction.
    • Incremental application migration.
    • Performance and maintainability improvements.
  • Platforms and APIs

    Building services, applications and platforms.

    Typical challenges

    • APIs for application-to-application communication.
    • Web applications and enterprise systems.
    • Cloud services.
  • Technical leadership

    Structuring teams and improving development processes.

    Typical challenges

    • Architecture decisions.
    • Code review and engineering practices.
    • Technical guidance for teams.

How we present a case study

Context, approach and lessons learned

Every published case study follows the same structure, without exposing confidential information or presenting metrics that cannot be verified.

  • Context and challenge.
  • Project goal.
  • Approach taken.
  • Solution delivered.
  • Technologies used, where relevant.
  • Verifiable outcome or lessons learned.
  • Does your challenge look like one of these?

    Tell us what you need. We can discuss how to approach your situation.

  • Explore all of our services

    Custom software, integration, modernization, cloud, consulting and more, tailored to what your business needs.

  • Artificial Intelligence for your business

    Agents, automation and language model integration applied to real problems, with security and measurable results.