Gain a better understanding of skills
Semantic technologies can help identify connections between skills, experience and requirements more effectively – even when people and companies use different terminology.
Innovation & Technology
Technology for the world of work of tomorrow.
The world of work is changing – and with it, the opportunities to connect people, skills and companies more effectively.
At Trenkwalder, we therefore do more than simply digitalise existing HR processes. We challenge them, develop them further and incorporate new technological possibilities from the very beginning.
Using artificial intelligence, data, automation and research, we develop solutions that make recruitment and workforce management simpler, more precise and future-ready.
Technology should not make things more complicated. It should create new opportunities.
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Innovation starts with a new way of thinking
For us, innovation does not start with a new tool, but with a question: If we were to design a process completely from scratch today, what would it look like?
We challenge existing workflows, examine which steps can be simplified or automated, and consider new technological possibilities from the outset. The key is not to use as much technology as possible, but to apply it where it can make a real difference.
This turns digitalisation into more than simply recreating existing processes digitally: It becomes an opportunity to rethink recruitment and workforce management.
What technology can make possible
Make matching more precise
Data and AI can help compare relevant skills, requirements and potential in a more structured way.
Make opportunities visible
A better understanding of skills can reveal career opportunities that may have remained undiscovered through a traditional keyword search.
Simplify processes
Automation can reduce repetitive tasks, process information more quickly and relieve teams of routine activities.
Support decision-making
Data can structure relevant information and reveal connections – providing a basis for faster, better-informed decisions.
Increase transparency
Explainable AI focuses on making recommendations easier to understand and providing greater transparency into which information influences a particular result.
Funding Programms
How we continue to advance innovation
What makes a truly good match? Skills, experience, requirements and potential are more complex than individual keywords. That is why we are researching a new generation of AI-powered person-to-job matching, combining occupational psychology, data science, machine learning, explainable AI and semantic analysis. Our goal is to understand connections more effectively and make matching more precise and transparent.
The more artificial intelligence supports processes, the more important transparency becomes. That is why we are exploring ways to make results easier to understand and to identify and reduce potential bias. For us, responsibility is an integral part of technological development from the very beginning.
For us, however, innovation only counts when it works in practice. New approaches are developed, tested and improved – and implemented wherever they genuinely benefit people and companies. For this research and development work, Trenkwalder was awarded the BSFZ Seal for Research and Development.
Technology for people and companies
For us, innovation is relevant when it delivers tangible improvements to the way people work.
For companies, data- and AI-driven processes can help identify relevant skills more quickly, simplify recruitment and manage workforce requirements more effectively.
For candidates, new technologies can help make relevant career opportunities visible more quickly and make the path to suitable jobs simpler and more transparent.
Human expertise remains essential. Technology can process information, identify connections and support processes. People contribute experience, context and understanding.
