The investment bank of Berlin awarded 3YOURMIND with €1.3 million in Pro FIT funding, co-financed by the European Regional Development Fund (ERDF).

Since 2014, 3YOURMIND software has been optimizing the industrial 3D printing (additive manufacturing) value chain for leading manufacturers in the US and Europe. This funding will be used to extend machine learning applications throughout their software suite.

For companies entering into or scaling their additive manufacturing, 3YOURMIND software helps identify AM suitable parts from existing inventories. For companies and 3D printing services who are already actively 3D printing, the software suite becomes their digital access point for accurate pricing, file management, automated order processing and transparent tracking of the production floor. Adding machine learning to these processes will push additive manufacturing towards the level of the automation promised in industry 4.0.

Additive Manufacturing is Ripe for Machine Learning

3YOURMIND is a leader for software to optimize additive manufacturing workflows. In 2016, their Order Management solution created an online B2B software to automate processing and management of 3D print orders. Beginning in 2017, they added the AM Part Identifier to their suite which reveals the strongest 3D printing use cases using software algorithms to increase the number of parts entering into additive manufacturing.

In 2018, they launched their Agile Manufacturing Execution System (Agile MES) to create transparent and optimized production floor scheduling. Now, in 2019, in addition to building out machine connectivity, they will focus on interlinking their software suite with machine learning to improve depth of optimization, lower processing costs and move additive manufacturing towards truly automated production streams. This is 3YOURMIND’s vision for Agile Manufacturing.

3YOURMIND will use the Pro FIT funding to add artificial neural networks (ANNs) into their software. ANNs are the leading approach for programming challenges which have little or no explicit, systematic knowledge available. As a relatively young industry, additive manufacturing is still developing process documentation and best practice techniques for industrial-scale production. This is especially true when looking at serial additive manufacturing.

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