Technology

App design and development

Cost-effective application development that works on all major platforms and is quickly implemented.

  • Responsive, clean and interactive UI and UX
  • Both native Android and iOS app development
  • Faster time to market with Flutter and Firebase

Technique: Flutter, Kotlin, Swift, Firebase, Design thinking

Platform development

Top Tier web-based applications that use tomorrow's frameworks and languages today.

  • Sprint 0 approach combines the best of business and technology
  • Progressive frontends for use on all devices
  • Scalable and secure backend frameworks at the core of the application

Technique: PHP (Laravel), C#, .NET, Java (Spring), VueJS

APIs and Middleware

Standalone applications transform into interconnected landscapes, designed to be future-proof.

  • Microserving applications for maximum interoperability
  • Making existing applications work in the cloud
  • Using the latest event-driven middleware

Technic: API management, microservices, Apache Kafka, Mulesoft, Data warehousing

Activities

Design Thinking & UX

Spot-on translation of business needs into true digital products, together with all stakeholders.

  • We first approach new challenges from a UX perspective
  • Involve all stakeholders and user and business requirements
  • Fast mockups and proof of concept within a few weeks

Technique: Design Thinking, UX research, Wireframing, Brainstorm & Workshops

Rebuild Applications

Rebuild, improve and deploy critical information systems within months, without hitches.

  • We build on existing data and workflows
  • Design new systems based on current and future needs
  • No 'major switch' but smooth iterative transition to new system

Tech: Sprint 0, system architecture, data modeling and warehouse design.

Data Driven Development

A thorough look at your data climate. Data is the new diamond, but without the right architecture, it remains raw.

  • We build according to the principle 'you don't know today what you need tomorrow'
  • Build architectures from a data science perspective
  • A custom approach for refining existing data

Technology: Data Engineering, Data Science, Event-Driven Systems, Machine Learning