The Amazon of Additive Manufacturing with Markus Seibold of MakerVerse

Additive Snack · 22 Oct 2024 · 37m · Episode 2

AI in practice: 2 real uses of AI described

What this episode covers

Markus Seibold, co-founder and CEO of MakerVerse, explains how he spun off the company from Siemens Energy to create a digital platform for industrial manufacturing. He details MakerVerse's use of machine learning and AI for auto-quoting, supplier selection, and predictive supply chain management to solve inefficiencies in on-demand manufacturing. The platform serves scale-ups and mid-sized companies by providing access to a vetted global supply chain covering additive, CNC, and sheet metal technologies.

AI in practice

Where this conversation describes AI being used to build or deliver a product. Part of the AI in practice tracker.

Sourcing & supply chainMakerVerse AI supplier selection system

The AI analyzes parameters like past delivery performance, technology fit, and global events (e.g., holidays) to automatically award parts to the most suitable production partner.

“here you need AI that basically looks into different parameters like past delivery performance, technology fit, understands, for instance, small, little like Chinese New Year … And decides, well, you should actually award a certain part.”

Speaker 2 · Hear it at 21:33

Running the companyMakerVerse AI-based email processing technology

The AI reads incoming email RFQs, extracts relevant information, and structures it into the platform to enable automated pricing, reducing manual data entry.

“what we also did develop is AI-based technology that really reads emails. Extracts information and puts this into a structured project on our platform that we can use again our automated pricing technology…”

Speaker 2 · Hear it at 21:33

Mentioned

Companies
MakerVerse, Siemens Energy, EOS
Tools
ChatGPT
Materials
AlSi10Mg, PA12, PA11

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