Project description
Making data analysis software for manufacturing
Big Data can be used to pave the way for new methods of process control and quality assurance in the manufacturing sector. The right tools are needed for this job, however. The EU-funded DBP project will simplify complex production processes by developing a scalable software solution. Specifically, this is an automated data analysis software that enables users to identify hidden correlations in their production process. The consolidated data can be visualised, compared and evaluated. Relationships between input variables and quality features are recognised. With the use of AI algorithms, predictive models can be created. Facilitating proactive intervention can help prevent rejects and machine downtime.
Objective
Started with the first place at the Audi Smart Factory Hackathon and Audi as a first customer, DatenBerg is entering the manufacturing market with its machine-learning software. DatenBerg is driven by its mission: Simplify complex production processes. DatenBerg means “Data Mountain” in German and that is exactly, what it is all about: analyzing “mountains” of data to create valuable input. The company provides a holistic scalable software solution for the manufacturing industry. The automated data-analysis software, called DatenBerg Backpack, enables the customers to identify hidden correlations in their production process.
DatenBerg was founded in February 2018 and is today, mainly focusing on the rubber processing sector. The company is going to launch the beta version of DatenBerg Backpack in March 2019. The team consists of five team members with more than 50 years of experience in the manufacturing industry in total.
During the feasibility study, the first implementations of Backpack in the rubber processing industry will be accompanied and the business plan for the implementation of the software will be further developed.
Fields of science
Programme(s)
Funding Scheme
SME-1 - SME instrument phase 1Coordinator
76131 KARLSRUHE
Germany
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.