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Episode

Vom Sanierer zum Quantengründer: Jan Henrik Leisse und eleQtrons 57 Mio. € Series A

Podcast
Startup Insider
Published
May 7, 2026
Duration seconds
2787
Processing state
processed
Canonical source
https://startup-insider.com/alle-podcast-folgen/
Audio
https://afp-912057-injected.calisto.simplecastaudio.com/d2790bdf-c937-4878-8f59-941f6b6b4ef5/episodes/a8085d16-f4be-40ae-94dc-169d64cdccd2/audio/128/default.mp3?aid=rss_feed&awCollectionId=d2790bdf-c937-4878-8f59-941f6b6b4ef5&awEpisodeId=a8085d16-f4be-40ae-94dc-169d64cdccd2&feed=ZQdsoEnZ
JSON
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Summary

Jan Henrik Leisse explains how eleQtron secured a massive €57 million Series A despite the lack of immediate commercial use cases. The discussion explores the transition from hardware development to building a scalable quantum computing ecosystem.

Topics

  • Quantum Computing
  • Series A Funding
  • Deep Tech
  • Hardware Development
  • Venture Capital
  • Scalability
  • Quantum Ecosystem
  • Tech Entrepreneurship

Highlights

  • Main idea: Quantum computing is moving toward a 'computing time as a service' model, similar to classical cloud computing
  • Practical takeaway: Success in deep tech requires focusing on scalable systems and reliability rather than just chasing scientific world records
  • Strategic insight: Early revenue can be driven by selling hardware to strategic partners like research centers to build a foundation for future use cases
  • Failure mode: Avoiding the trap of focusing solely on interesting research projects at the expense of product-market fit and structural scalability
  • Investment thesis: Large-scale deep tech requires a combination of public anchor investments and private venture capital to sustain long-term development

Chapters

  1. 1:00 Introduction to eleQtron's Series A: An overview of Jan Henrik Leisse's massive €57 million funding round and the potential impact of quantum computing.
  2. 4:40 From Restructuring to Entrepreneurship: Leisse discusses how his background in corporate restructuring provided the fundamental business logic needed for scaling startups.
  3. 8:20 Product vs. Research: The importance of focusing on scalable products and structures rather than getting lost in purely academic research.
  4. 15:40 The Future of Computing Models: Exploring how quantum computing will evolve into a decentralized service model accessible via the cloud.
  5. 23:10 Strategic Partnerships and Co-Design: How selling hardware to industrial partners like Trumpf and research centers creates a strategic ecosystem.
  6. 27:00 Hardware, Algorithms, and Use Cases: The necessity of integrating hardware, algorithms, and real-world use cases to build a functional quantum platform.
  7. 41:40 Deep Tech in Germany: A reflection on the growing visibility and potential of the deep tech sector within the German economic landscape.