We collaborate with you to create new value through digital transformation

Digitalisation and IT Solutions

We empower your organisation through a full spectrum of modern IT services, ranging from strategic advisory to implementation, continuous optimisation, compliance and training. 

The digital revolution opens up a world of possibilities, complexities and dangers for our businesses. We meet these challenges by teaming up with you, bringing to the table market leading expertise within digital innovation, advisory, technology, quality and security.   

Our key offerings:

  • IT Advisory and Management
  • Future Technologies (AI, Machine Learning, Data analytics, Blockchain)
  • Software Development
  • Digital Quality (requirements engineering, management and testing)
  • Cyber Security

Artificial Intelligence & Automation Services

AI for all defines the core motive of our AI division. We want to develop a safe human-empowered AI world that enable us with the next level of automation tools and cultivates more human creativity. The AI technology has proven to be very successful when handling with unstructured data. It helps us both understand the data and get suggestions on best course of action.

Cyber Security Processes Expertise areas

  • Security Process Development
  • Governance
  • Continuous Compliance: GDPR, ISO 270xx series and ISO/SAE 21434 implementation
  • Security Awareness
  • Security Engineering and Operations

Digital Quality

  • Software Requirements Management and Engineering
  • Software Testing, Test Management and Test Automation
  • Managed Services and Team Deliveries within Testing and Requirements Engineering  

IT Advisory and Management

  • Digital Strategy
  • Transformation Leadership
  • IT Management

Machine Learning

Edge computing, for example computing close to the data input sources, is a hot topic of modern connected IoT infrastructures. Edge computing in combination with embedded AI/machine learning solutions opens for new applications and services such as faster and smarter autonomous systems.

  • System analysis – Is a machine learning algorithm the best solution for your embedded system?
  • Selection and tailoring of machine learning algorithms
  • Dataset selection
  • Model training
  • Algorithm implementation/integration on target
  • Testing in real environment

 

Software Development

  • Development projects, application and IT portfolio management 
  • Full stack development, Solution architecture, Cloud, Microservices and Integration 
  • Web, Mobile, IoT, BI, CMS, AI