Seize opportunities, manage risks—and make informed decisions.
Robust and powerful software is not a product of chance. It is the result of clearly prioritized quality features, well thought-out test strategies and dashboards on current quality that are available at all times. Your users expect reliable solutions from you. You yourself have to master short development cycles, integrate new technologies and consistently avoid errors.
Our quality engineering approach makes product quality simple and streamlined for you to implement. It makes quality an integral part of the entire development process: we analyze your existing environment, define relevant test objectives with you and develop a suitable test strategy for you.
With clean code, test-driven development (TDD) and test automation at the relevant levels, we create the necessary clear process structure and also reduce numerous manual efforts along the way, thus ensuring quality at every step of the process. We use generative AI in the right places to make the entire test process as efficient as possible - always with the relevant legal framework conditions in mind.
Our test automation solutions fit seamlessly into your DevOps pipelines, are designed for scalability - and are consistently reduced to the essentials. In this way, we avoid technical dead ends and create a clear, lean quality process. For better releases, less effort - and impressive results.
Whether product quality, quality engineering or software engineering - take advantage of our expertise in all areas for sustainable, excellent software quality.
From strategy to go-live: With MaibornWolff, software quality assurance is risk-based, automated, and auditable—ensuring quality that remains scalable.
Do you want to achieve your quality and testing goals quickly and efficiently? Automate processes and provide software solutions of reliably high quality? We would be happy to present our quality engineering approach to you without obligation.
Digital twin for control unit development & testing in cars
Virtualization of control units & AWS cloud integration
Setup of virtual cars & control units without expensive hardware setups, worldwide & distributed testing
IoT gateway (MAX Box) for data connection between elevator & IoT platform
Examination of code quality, architecture, operations & organization
Optimization of IoT gateway connectivity & digitalization of elevators
Protection of digitalized trucks against virtual attacks
Risk analysis based on 4x6 methodology, ThreatSea, ISO21434
Quick identification of relevant threats for immediately effective security measures
Improved dimensioning software for the construction of load-bearing building components
New digital design approach, UX concepts, UI designs, user-centered focus
Higher user satisfaction, better software with less effort
Protection of digitalized vehicles against virtual attacks & digital threats
SSDLC in vehicle backend systems (UNECE R155), cybersecurity management system
Guidelines, methodologies & tools for independent risk identification, assessment & treatment by employees
Seize opportunities, manage risks—and make informed decisions.
AI governance allows you to establish a framework for the use of AI in your organization.
Successful AI implementation requires expertise and a clear roadmap.
How AI is making the automotive industry more efficient, smarter, and more competitive.
Can digital sovereignty make companies more secure, independent, and crisis-proof?
Plan your cloud migration smartly and implement it successfully with a 5-point roadmap and practical know-how.
Fast to the cloud: Migrate applications quickly with Lift & Shift - know the opportunities and limits.
Reduce cloud costs and save resources - how to optimize your cloud environment!
Use FinOps to optimize cloud costs and strengthen collaboration!
Want to modernise your IT without rebuilding everything? Replatforming makes it possible.
Discover how cloud-native applications can support you in your digital transformation.
Code as a city map: identify hotspots, plan refactoring, and target specific projects for improvement.
Using the cloud without losing track – opportunities and risks examined.
Cloud or on-premises? Differences, costs, advantages and disadvantages compared.
Plan your path to the cloud intelligently: models, services and security at a glance.
Data security in the cloud: understanding the challenges, finding solutions.
DevOps explained – methods, advantages and how teams can quickly benefit from it.
Understanding the basics of cloud architectures: models, security and costs explained in detail.
As one of the most innovative IT service providers with a great passion for AI, we focus entirely on the project business and individual software development - without our own products. To stay at the forefront, we continuously invest in our team of digital technology engineers and develop digital solutions that are well thought-out, efficient and reduced to the essentials.
Our principle: simplicity instead of complexity. We only develop what is really needed - tailor-made, useful and reliable. Our results speak for themselves. With over 800 large-scale systems and more than 10,000 person-years of experience in high-end software engineering, we are one of the few who can reliably implement even the largest and most complex IT landscapes. Thanks to close partnerships with leading hyperscalers, our customers operate their solutions in today's most modern and powerful environments.
Less technology. Better Business.