Streamline Bioprocess Development and Automated Process Control!
Enabling robust process design and development timelines by applying our unique workflow, taking you from experimental planning to full-fledged control.
Speed up Bioprocess Development
Using advanced machine learning tools, we reduce process development timelines and efficiently utilize bioprocesses understanding
Diverse Industries
Our unique combination of expertise in bioprocessing, process modeling, as well as software development allows us to support clients from a variety of fields - including pharma, enzyme manufacturing, and cultured food.
Contract research
Our bioprocess modeling experts can perform experiments for you to optimize your process or investigate process behavior with scale-down models.
Faster Development
Reduce your experimental workload by up to 70% by combining smart experimental planning with our Hybrid Modeling Toolbox to significantly accelerate development timelines.
Data Alignment
Apply our automated data alignment to minimize workload in data preprocessing, creating a solid basis for follow-up process modeling.
Process Understanding
Applying latest state of the art machine learning algorithms in a streamlined workflow to understand and optimize every bioprocess unit operation, as well as the full process chain (end-to-end)
Digital Twin
Our Digital Twin for bioprocesses allows you to visualize your process in real-time and allows for advanced process control for up- and downstream operations
Novasign at a Glance
We streamline Bioprocess Development across a wide spectrum of products, catering to clients in diverse sectors including biopharmaceuticals, enzyme production, cultured foods, and academic research. Leveraging our extensive expertise in bioprocessing, we have crafted a unique workflow that optimizes the planning, execution, and understanding of bioprocesses. We designed this approach to maximize efficiency in learning from data, allowing our clients greater speed in bringing robust processes to the market.
Success Stories
“Working with Novasign has been a great experience and provided a real project benefit. They showed a strong apprehension to familiarize self-dependent with new process technology details and translated the gained knowledge immediately into a new process model that was successfully tested.”
Daniel Krug
TAKEDA
“Since our partnership began in 2022, Novasign has been an integral part of our operational enhancement. Their expertise in hybrid modeling and digital twins has been beneficial in refining our processes. The aim was to achieve a deeper comprehension of our workflows with a reduced need for experimental undertakings. We are very satisfied with the dynamic collaboration and the high-quality solutions that have been provided.”
Simon Rittmann
CTO - Arkeon
“Our collaboration with Novasign GmbH over the past two years has been exceptionally fruitful. Their software has significantly enhanced our grasp of the fermentation process within a collaborative customer project. This positive impact led us to embed their software into our educational program. We are digitizing a microbial fermentation process, enabling our students to gain hands-on experience in developing a digital twin based on real-world experiments. ”
Michael Maurer
Program Director - FH Campus Wien
Technology We Use
Awards Granted
Frequently asked Questions
We offer consulting projects covering data preprocessing, modeling, and simulation. We deliver the models and digital twins via our software for practical application.
Our software comes with support and training, enabling users without modeling or programming expertise to easily model processes.
Yes. Training is typically included in consulting projects, and several hours of customer support are provided with the purchase of a software license.
If modeling data is unavailable, we can conduct process development or specific experiments to generate necessary data.
We have shown in several projects that the experimental effort in the lab can be reduced by as much as 70% when applying our unique workflow on multidimensional input space compared to standard Design of Experiment approach.
Are you keen to learn how it can be done?
Get in contact with us and together with our data scientists we carefully discuss your process, the modeling goals and iterate through your process to find the optimal solution