© Jörn Block, Bild mithilfe von Dall-E 3 erstellt
Steinbeis Transfer Center Technology and IP-Management
Nicetiusstraße 34
54296 Trier
Germany
54296 Trier
Germany
- Phone: + 49 1577 7814174
Website: https://stz-technologiemanagement.de
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Management:
- Prof. Dr. Jörn Block
Who we are
The Steinbeis Transfer Center Technology and IP-Management, based in Trier, specialises in the quantitative and AI-based analysis of IP data (patents and trademarks) and the measurement of sustainability impact.
The Steinbeis Transfer Center supports
- Technology companies (start-ups, SMEs, large corporations)
- investors (e.g. venture capitalists, private equity firms, family offices)
- M&A and technology consultancies
- government organisations
- research institutions and universities
in making well-founded, data-driven decisions based on intelligent IP analyses.
Services
Use of quantitative methods, in particular artificial intelligence and machine learning methods, for:
- Analysing patent, trade mark, design, publication and website data
- Searching for patents, trade marks, designs and scientific publications
- Monitoring IP rights
- Technology analysis and identification of technology trends and ‘white spots’
- Competitive analysis
- Valuation of IP rights
- Impact analysis of IP rights
Key topics
- Use of quantitative methods (in particular artificial intelligence, machine learning, and text and data mining) in the field of technology and innovation management
- Use of quantitative methods (in particular artificial intelligence, machine learning, and text and data mining) in the field of IP management
- AI- and big data-driven analysis of patents, trademarks, designs, publications and websites
Project examples
- Quantitative research and analysis of patents and trade marks, particularly using AI
- Quantitative research and analysis of scientific publications (e.g. in the context of opposition proceedings), particularly using AI
- Search for potential licensees of own patents, including with the aid of AI
- Freedom-to-operate analysis to avoid patent infringements, particularly with the aid of AI
- Use of data/text mining to identify technology trends and ‘white spots’
- Financial valuation of individual patents
- Identification and assessment of the impact of ‘green’ patents and trademarks
- Quantitative analysis and valuation of a company’s or university’s patent portfolio
- Identification of patenting companies in a specific region or industry
Media
Steinbeis Transfer Magazine
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Green patents and trademarks as indicators of sustainability impact (Transfer 3/2024)
Steinbeis experts in intelligent IP analysis help to make innovations more sustainable