AUTOMA+ 2025: The future of the pharmaceutical industry starts here
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As Gold Sponsor of AUTOMA+ 2025, we not only present our expertise but actively shape digital transformation. On November 24-25, 2025, industry leaders meet at the Eventhotel Pyramide & Congress Center in Vösendorf, Austria.
The future of the pharmaceutical industry starts now
anic GmbH is right in the middle of it! As Gold Sponsor of AUTOMA+ 2025, we not only present our expertise but actively shape digital transformation.
Event Details
- Date: November 24-25, 2025
- Location: Eventhotel Pyramide & Congress Center, Vösendorf, Austria
- anic Status: Gold Sponsor
Founder & Managing Director
Our CEO Andreas Nicklas inspires with his presentation:
"Pharmaceutical Industry Transformation: Tackling Limitations with Digital and Innovative Approaches"
With over 20 years of experience in international projects and deep expertise in implementing and validating solutions in pharma, chemistry, and life sciences, Andreas Nicklas brings unparalleled expertise – from MES, LIMS, QMS to agile methods and complete system integration.
Key Topics of the Presentation
He demonstrates how digital strategies – from Manufacturing Execution Systems (MES) through Electronic Batch Recording (EBR) to recipe-centric process management – not only ensure efficiency and compliance but enable real innovation leaps.
Game-Changer: Recipes as strategic assets! With modern structures for master recipes, entirely new opportunities open up: faster scaling, global harmonization, and maximum flexibility for dynamic markets.
Video Interview from AUTOMA+ 2025
As part of AUTOMA+ 2025, Andreas Nicklas, Founder and Managing Director of anic GmbH, was also interviewed on current challenges and opportunities in the digital transformation of the pharmaceutical and chemical industries. In the interview, the focus is on how recipes and production processes can be adapted more quickly without compromising control, data integrity, or compliance. Andreas also talks about EBR and MES solutions, harmonised data models as a foundation for reliable data and future AI applications, as well as related topics such as supply chain management, storage management, and the value of personal networking at AUTOMA+.