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How to build AI-powered games that change kids’ health? | Johann Issartel | Devico Breakfast Bar #115

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Manage episode 506711135 series 3611270
Content provided by Devico Breakfast Bar. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Devico Breakfast Bar or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode of the Devico Breakfast Bar Podcast, Oleg Sadikov, the co-founder and CEO at Devico & DeviQA, sits down with Johann Issartel, CEO and co-founder at Move Ahead, to explore how he turned years of academic research in neuroscience and human movement into an AI-powered gaming platform that helps kids move, learn, and thrive.

Johan shares the challenges of building deep tech for real-world impact, from developing complex computer vision models that run on any device to combining gaming, neuroscience, and education into one seamless experience.

Episode highlights:

  • Why designing for accessibility drives deeper product adoption

  • How mobile-based edge computing is transforming movement tracking

  • What it takes to turn research into scalable, real-world products

  • Lessons on proprietary AI development for long-term independence

  • Why passion and patience are critical for deep tech founders

Join the Devico Breakfast Bar for compelling discussions led by a seasoned industry expert who generously shares a wealth of knowledge and firsthand experience.

Subscribe to Devico Breakfast Bar Newsletter - https://www.linkedin.com/newsletters/7208390603515039745/

Follow Oleg on LI - https://www.linkedin.com/in/oleh-sadykow/

Check out Devico - https://devico.io

Check out DeviQA - https://www.deviqa.com

Learn more about Devico's AI development services - https://ai.devico.io/services/ai-development

Learn more about DeviQA's mobile apps testing services - https://www.deviqa.com/services/mobile-app-testing-services/

  continue reading

117 episodes

Artwork
iconShare
 
Manage episode 506711135 series 3611270
Content provided by Devico Breakfast Bar. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Devico Breakfast Bar or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode of the Devico Breakfast Bar Podcast, Oleg Sadikov, the co-founder and CEO at Devico & DeviQA, sits down with Johann Issartel, CEO and co-founder at Move Ahead, to explore how he turned years of academic research in neuroscience and human movement into an AI-powered gaming platform that helps kids move, learn, and thrive.

Johan shares the challenges of building deep tech for real-world impact, from developing complex computer vision models that run on any device to combining gaming, neuroscience, and education into one seamless experience.

Episode highlights:

  • Why designing for accessibility drives deeper product adoption

  • How mobile-based edge computing is transforming movement tracking

  • What it takes to turn research into scalable, real-world products

  • Lessons on proprietary AI development for long-term independence

  • Why passion and patience are critical for deep tech founders

Join the Devico Breakfast Bar for compelling discussions led by a seasoned industry expert who generously shares a wealth of knowledge and firsthand experience.

Subscribe to Devico Breakfast Bar Newsletter - https://www.linkedin.com/newsletters/7208390603515039745/

Follow Oleg on LI - https://www.linkedin.com/in/oleh-sadykow/

Check out Devico - https://devico.io

Check out DeviQA - https://www.deviqa.com

Learn more about Devico's AI development services - https://ai.devico.io/services/ai-development

Learn more about DeviQA's mobile apps testing services - https://www.deviqa.com/services/mobile-app-testing-services/

  continue reading

117 episodes

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