The Steinbeis-Transferzentrum für Technologie- und IP-Management uses quantitative methods and artificial intelligence tools to analyze and interpret data in technology, innovation and IP management. Our clients are companies, start-ups, universities, research institutions, ministries, investors and banks.
The Steinbeis-Transferzentrum für Technologie- und IP-Management belongs to the Steinbeis-Verbund.
Our expertise
Technology and competition analysis
We analyze data on patents, trademarks, and design rights with quantitative methods for the purpose of technology and competition analysis.
GreenTech, patents and trademarks
Technologies and innovations can help to reduce environmental problems. We use IP data to identify such innovations and determine their “sustainability impact”.
AI-supported IP search
We use machine learning methods, in particular natural language processing, for targeted patent searches.
Details and use cases
IP valuation
As intangible assets, IP rights are difficult to value. We use quantitative methods to estimate the financial and technological value of IP rights.
Details and use cases
Freedom-to-Operate-Analysis
Freedom-to-operate-analyses help to decide whether patents exist that stand in the way of the development, manufacture and market launch of a technical innovation or product. With the help of AI-supported patent search methods, we systematically identify patents or patent applications that could restrict freedom-to-operate.
Impact of climate protection patents
Process innovations in particular can help to reduce greenhouse gas emissions in the industrial sector. In the first step, we use patent data to identify such innovations. In the second step, we then use patent citation data and data from emission trading schemes to determine their technological and ecological impact.
Competition analysis with IP data
Companies protect their innovations, products and services with the help of patents and trademarks. We use quantitative methods to systematically analyze the patent and trademark portfolios of (potential) competitors, suppliers and other companies along the value chain. The result is a targeted benchmarking with your own patent and trademark portfolio as well as an assessment of the overlap and determination of your own market position.
Search for innovation partners
As part of open innovation, companies cooperate with other companies, start-ups, universities and non-university research institutions. We use patent and publication data to identify potential cooperation partners and assess their attractiveness in terms of research and technology output.