This Munich startups says it has the Secret to Unlocking Cost-Effective Materials Research with AI

Here is our conversation with Barbara Prähofer from ExoMatter on how the XPRENEURS program at the Munich Urban Colab have been breaking down barriers for them on their journey to make materials science digitally driven by artificial intelligence

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📺 WATCH on YouTube: https://youtu.be/LxsX9JmbtnI

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🎙️ In Our Discussion:

1. EXOMATTER - Who are they and what problem do they solve?

2. The details of how they're using artificial intelligence and machine learning to change materials science

3. The data science and data sets that are necessary

4. How XPRENEURS and The Munich Urban Colab has broken down barriers

5. Advice for early startups

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⏱️ Timestamps

0:00 - Intro The Secret to Unlocking Cost-Effective Materials Research with AI

0:29 - What problem does ExoMatter solve?

0:52 - Concrete example of ExoMatter's business case - Battery Producers

1:28 - AI Based calculations on materials permutations

1:41 - How do deal with the needed processing power for the machine learning calculations

2:12 - What stage is ExoMatter at right now? Help from the Helmholz Institution

3:02 - Capital secured, takeoff time! Where do they want to be in 5 years?

3:33 - ExoMatter's Vision

3:52 - Starting in renewable energies but can go to so many different sectors

4:11 - What kind of datasets are necessary for this?

4:59 - How has ExoMatter benefitted from the XPRENEURS Incubator?

6:25 - Would not be alive were it not for XPRENEURS and Munich Urban Colab networking opportunities

7:33 - Lack of hierarchy to networking at the Colabs

7:49 - Don't need any more mentoring or coaching, you need access

8:38 - One piece of advice for startups...don't be shy

9:24 - Outro The Secret to Unlocking Cost-Effective Materials Research with AI

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OUR GUEST - Exomatter:

LinkedIn:

https://www.linkedin.com/company/exomatter/

Website:

https://exomatter.ai/

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#startups #growthstage #machinelearning #datascientist #startupgermany #materialscience