The complete part identification and re-designing solution for manufacturers to unlock the full potential of Additive Manufacturing.
Partners:
Additive Manufacturing (AM) is switching from prototyping to end-use production and opening up new possibilities. Manufacturers looking to scale their AM production need new specialised tools to efficiently enable this transformation. Our automated part screening solution can be integrated into existing PDM, PIM & ERP systems and offers the following key features:
Part identification considering components’ supply chain, technical, economic, and (re)design potential.
Top-down (large data quantities) and bottom-up (single data points) part identification.
Simulation of all industrially relevant direct and indirect AM processes including post-processing steps.
Up-to-date database of relevant end-use AM machines, materials, and manufacturing capabilities.
Machine learning assisted cost & pricing simulation with or without 3D models. Nesting visualisations for comprehensive make-or-buy decision-making.
Full offline functionality. Option for on-premise installation to comply with strict data export regulations.
Starting from an analysis of supply chain management data, we have been working on our AM part identification software since 2019. After continuous development, our focus in 2020 has been on testing and validating the Windows desktop application with selected companies.
We now strive for projects with manufacturers who wish to screen large quantities of data and unlock their future in AM. Within these projects, manufacturers gain access to our tool on their premises and we help to prepare and assess their data for AM part identification.
Ultimately, selected parts can be 3D printed in-house (if an industrial 3D printer is available) or by external 3D printing service providers.
We now strive for projects with manufacturers who wish to screen large quantities of data and unlock their future in AM. Within these projects, manufacturers gain access to our tool on their premises and we help to prepare and assess their data for AM part identification.
Ultimately, selected parts can be 3D printed in-house (if an industrial 3D printer is available) or by external 3D printing service providers.
Contact us for a demonstration of our software.
Team:
SelectAM was founded in 2020 by an international team of experienced AM experts, software developers, and business specialists on a mission to make the advantages of AM accessible to all manufacturers.
Niklas Kretzschmar, D.Sc.
CEO & Co-Founder
Lukas Jakob Hafner
CTO & Co-Founder
Eero Huotilainen, D.Sc.
Data Expert & Co-Founder
Iñigo Flores Ituarte, Ind. Professor
AM Expert & Co-Founder
Tobias Johannes
Business Expert & Co-Founder
Advisory Board:
Georg Bitarichvili, M.D.
Business Advisor
Managing Director Eco Scandic Oy
Ismo Mäkelä
Technical Advisor
Managing Director DeskArtes Oy