Eppendorf SE, a renowned leader in the life sciences sector, has joined forces with DataHow AG, an innovator in advanced data analytics and AI-driven prediction software, to announce a strategic collaboration aimed at revolutionizing bioprocess development. This partnership will allow the merging of DataHow’s cutting-edge AI-powered analytics solution, DataHowLab, with Eppendorf’s cloud infrastructure, BioNsight cloud. This collaboration will furnish researchers with comprehensive insights and analytical capabilities.
In the specialized domain of bioprocess development, optimizing intricate processes to ensure high-quality standards with peak efficiency is essential. Process data is a valuable asset in this regard, yet capitalizing on it remains an analytical challenge for process experts.
The integration of DataHowLab within the BioNsight cloud intends to address this challenge by facilitating a seamless transition from data collection to advanced analytics and insights, thereby empowering researchers to make quicker and more effective decisions.
In the realm of bioreactors, harmonizing data is key to fostering a robust bioprocess ecosystem. Bioprocessing engineering requires a smooth transition between research and development and scalable production. This collaboration responds to the complex demands of digital services in this context.
“Collaboration and integration are vital yet often overlooked factors for the success of bioprocess projects. Our solutions enhance seamless data sharing and contextualization across devices and locations, allowing scientists to undertake meaningful comparisons and derive valuable insights,” states Lina Tao, Senior Vice President, Eppendorf Bioprocess.
Dr. Alessandro Butté, CEO of DataHow, remarks, “This unified platform will enable scientists to access and structure data from various devices—whether it be a PC, laptop, or mobile—across labs, sectors, and even nations. Such accessibility allows for effortless and insightful comparisons, yielding insights across diverse scales and numerous runs.”
Manual data cleaning and formatting can be labor-intensive and error-prone, hindering the research process. By automating these processes, the unified platform conserves valuable resources, minimizing errors and allowing researchers to focus on meaningful analysis and generating key insights for decision-making. This is where cloud technology shines, offering unrestrained access to clean, formatted data primed for analysis.
With well-structured data, DataHowLab democratizes advanced AI-enabled analytics, enabling users without data science expertise to conduct intricate analyses using guided workflows.
Scientists leverage the software for in-depth process data analytics, run in silico experiments to ascertain insights beyond the physical lab, or optimize experimental design through AI. Enhanced process comprehension accelerates R&D by streamlining experimental demands and compressing project timeframes.
The alliance between Eppendorf and DataHow establishes a new benchmark for data integration and collaboration in bioprocessing. By enabling seamless data interchange and contextualization between BioNsight cloud and DataHowLab, it is imperative for deepening our comprehension of complex biological processes and ensuring the triumph of research initiatives.
Eppendorf is a globally acknowledged life science company dedicated to the development, manufacturing, and distribution of equipment, consumables, and services for worldwide laboratory use.
DataHow is a trailblazer in the deployment of AI and advanced analytics to bioprocess data, offering breakthrough technologies and solutions that enhance development efficiency and facilitate the creation of highly productive manufacturing processes.