# Vom Sanierer zum Quantengründer: Jan Henrik Leisse und eleQtrons 57 Mio. € Series A Page: https://stenobird.com/podcast/startup-insider-6744721/vom-sanierer-zum-quantengr-nder-jan-henrik-leisse-und-eleqtrons-57-mio-series-a Text version: https://stenobird.com/podcast/startup-insider-6744721/vom-sanierer-zum-quantengr-nder-jan-henrik-leisse-und-eleqtrons-57-mio-series-a.md Podcast: [Startup Insider](https://stenobird.com/podcast/startup-insider-6744721) Published: 2026-05-07T11:00:00+00:00 Episode link: https://startup-insider.com/alle-podcast-folgen/ Audio file: 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 Processing state: processed JSON: https://stenobird.com/v1/public/podcasts/startup-insider-6744721/episodes/vom-sanierer-zum-quantengr-nder-jan-henrik-leisse-und-eleqtrons-57-mio-series-a Duration seconds: 2787 ## Resource 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. ## 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 ## Topics Quantum Computing, Series A Funding, Deep Tech, Hardware Development, Venture Capital, Scalability, Quantum Ecosystem, Tech Entrepreneurship ## Chapters - 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. - 4:40 — From Restructuring to Entrepreneurship: Leisse discusses how his background in corporate restructuring provided the fundamental business logic needed for scaling startups. - 8:20 — Product vs. Research: The importance of focusing on scalable products and structures rather than getting lost in purely academic research. - 15:40 — The Future of Computing Models: Exploring how quantum computing will evolve into a decentralized service model accessible via the cloud. - 23:10 — Strategic Partnerships and Co-Design: How selling hardware to industrial partners like Trumpf and research centers creates a strategic ecosystem. - 27:00 — Hardware, Algorithms, and Use Cases: The necessity of integrating hardware, algorithms, and real-world use cases to build a functional quantum platform. - 41:40 — Deep Tech in Germany: A reflection on the growing visibility and potential of the deep tech sector within the German economic landscape. ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/startup-insider-6744721/episodes/vom-sanierer-zum-quantengr-nder-jan-henrik-leisse-und-eleqtrons-57-mio-series-a/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/startup-insider-6744721/vom-sanierer-zum-quantengr-nder-jan-henrik-leisse-und-eleqtrons-57-mio-series-a.md` — Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.