Project description
Improving manufacturing quality with data-driven tools
Manufacturing industries often struggle with quality control, relying heavily on experience and intuition, which can limit improvements and lead to recurring errors. The EU-funded SM SHOP-FLOOR TOOLS project, headed by nebumind, a German company founded in 2019, addresses this issue by harnessing the power of data in manufacturing. Founded by aerospace experts, nebumind developed Spatiomind, software that drastically reduces data search time and offers intuitive 3D visualisations. Already piloted with major companies like Airbus, Spatiomind aims to automate and enhance quality control in sectors such as aerospace and automotive. With WomenTechEU support, nebumind is refining this innovation to improve manufacturing processes.
Objective
nebumind is a German company founded in 2019 with the vision to use the growing amount of data available in production companies to increase the quality of manufactured products and facilitate the shift toward Industry 4.0
nebumind is the result of the combined experience of its two co-founders Franz and Caroline. They have spent over 13 years working in aerospace manufacturing and have gained an in-depth understanding of production methods, sensor technologies, quality monitoring, and data processing. Before founding nebumind, they jointly built up and managed the Airbus subsidiary InFactory Solutions, developing online sensor systems. During that time, Franz and Caroline sensed that manufacturing quality still had great potential for improvement because is often based on experience and intuition. This gives room for interpretations and results in limited improvements during running production, acceptance of recurring scrap, and flat learning curves. So, they developed Spatiomind, the first software on the market, making quality analyses during manufacturing economical for production companies.
Spatiomind’s unique selling point is based on the innovative data search engine, developed internally, which can reduce data/information search by a factor of 1 billion compared to conventional solutions.
It enables manufacturers to retrieve quality data very efficiently on any manufactured component, display it in an intuitive 3D visualization for first insights and use it for the implementation of more automated quality control and improvement processes in productions. Spatiomind is suitable for aerospace, automotive and semiconductor’s manufacturing and has raised the interest of industries. It has been validated in pilot with large manufacturing companies, including Airbus, MT Aerospace, Fraunhofer/KUKA, Ariane Group, and Otto Fuchs.
Under the WomenTechEU, the company aims to validate the market and improve product development of the three automatic shop-floor tools
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencessoftware
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencesphysical scienceselectromagnetism and electronicssemiconductivity
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Keywords
Programme(s)
- HORIZON.3.2 - European innovation ecosystems Main Programme
Funding Scheme
HORIZON-CSA - HORIZON Coordination and Support ActionsCoordinator
82024 Munchen
Germany
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.