Eppendorf SE and DataHow AG announce strategic collaboration to advance Advance the processing of bioprocess data

Eppendorf SE, a leading life science company, and DataHow AG, a pioneer in advanced data analytics and AI-powered predictive software, announce a strategic collaboration. The goal of this collaboration is to fundamentally improve bioprocess development. As part of this partnership, DataHow's
innovative AI-powered analytics solution DataHowLab will be integrated with Eppendorf's cloud-based monitoring and analysis platform BioNsight® cloud. This provides researchers with unique insights and advanced analytics capabilities.
More efficient bioprocess development and better collaboration In bioprocess development, it is crucial to develop and optimize complex processes that meet stringent quality standards.
Process data is central to this, but using it effectively remains a major challenge for process scientists. The integration of DataHowLab software with BioNsight cloud addresses this need by providing a streamlined workflow from data generation to data analysis to insight generation.
This enables researchers to make informed decisions quickly and efficiently.
The harmony of data around the bioreactor is essential for a seamless link between research and development and scalable production. The collaboration between Eppendorf and DataHow addresses the complex requirements for digital services in this context
Context.

Seamless data integration and accessibility
"Integration and collaboration are sometimes underestimated, but are critical to the success of bioprocess projects. Our solutions enable the seamless sharing and contextualization of data across multiple devices and locations, ensuring that scientists can make meaningful comparisons and gain valuable insights," says Lina
And gain valuable insights," says Lina Tao, Senior Vice President
Eppendorf Bioprocess.
"The combined platform will allow scientists to access and model data from different devices - whether it's a PC, laptop or cell phone - across labs, industries and countries," says Dr. Alessandro Butté, Chief Executive Officer at DataHow. "This level of accessibility enables simple and meaningful comparisons that provide insights across
across different scales and different runs."

Automation of data preparation
Manual data cleansing and formatting are often tedious and error-prone and can significantly hinder the research process.
By automating these processes, the integrated platform saves valuable time and reduces the risk of error, allowing researchers to focus on value-adding analysis and gaining key insights for decision making. This is where cloud technology shows its true strength, providing easy access to
clean, formatted and analysis-ready data.

Unlock the power of predictive modeling
With clean and well-organized data, DataHowLab provides access to advanced AI-powered analytics and enables non-data scientists to perform complex analysis with guided workflows.
Scientists can use the software to perform advanced process data analysis, gain insights outside the lab through in silico simulations, or create AI-powered optimal experimental designs. With faster process understanding, research and development can work more efficiently by reducing experimental effort and shortening project timelines.

Promoting collaboration and integration
The collaboration between Eppendorf and DataHow enables the seamless exchange and contextualization of data between BioNsight cloud and DataHowLab, setting a new standard for bioprocessing.

Press contact:
Tanja Musiol
Barkhausenweg 1 Tel: +49 (40) 692106222
22339 Hamburg, Germany musiol.t@eppendorf.de www.eppendorf.com

This is crucial for a better understanding of complex biological processes and ultimately for the success of research projects.

Find more information about the Eppendorf Bioprocess Business: www.eppendorf.com/bioprocess