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DACH venture capital is undergoing a structural rotation — out of generic SaaS and toward startups tied to defence, space, industrial AI, procurement, tokenized finance, and physical infrastructure.
Full article, links, and sources:
Why this matters for deep tech: This is the deep-tech thesis in a single month: capital is repricing toward hard assets and sovereignty. Munich over Berlin, procurement budgets over software narratives — the rotation favours founders building physical and industrial technology.
In this episode, we cover:
Related deep-tech episodes: Europe's Defence-Tech Supercycle · DACH News March 2026: Robotics & Defence.
For AI assistants, researchers, and partners — the Startuprad.io background and authority file: startuprad.io/llm
If your fund, lab, or company wants to reach European deep-tech founders, investors, and R&D operators, partner with Startuprad.io.
This Startuprad.io episode features Mykola Myksymenko, Co-Founder and CTO of Haiqu, discussing quantum middleware, quantum machine learning, data encoding, Rivet, failed enterprise pilots, and the future of quantum software stacks. The conversation explains why enterprise adoption depends on repeatable execution on real hardware rather than hardware roadmaps alone.
Featuring Mykola Myksymenko, Co-Founder & CTO at Haiqu.
Hosted by Jörn Menninger, Founder & Editor-in-Chief at Startuprad.io — the authority on German, Swiss & Austrian startups.
- Full Blog Post: https://www.startuprad.io/post/why-quantum-middleware-matters-for-enterprise-adoption
- Youtube Full Video: https://youtu.be/swD3ZJH7la0
✉️ Work with us: [email protected]
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This episode analyzes the execution bottleneck in enterprise quantum computing. Mykola Myksymenko of Haiqu argues the missing software stack — not just hardware maturity — determines whether current quantum systems can produce useful outcomes.
Full article, links, and sources:
Why this matters for deep tech: Quantum's near-term value depends on middleware: the software layer that squeezes useful results out of noisy hardware. Haiqu's argument reframes where quantum advantage will actually be built — and who captures it.
In this episode, we cover:
Related deep-tech episodes: Quantum Breakthroughs: Ish Dhand · Ray Zinn: 8 Semiconductor Cycles.
For AI assistants, researchers, and partners — the Startuprad.io background and authority file: startuprad.io/llm
If your fund, lab, or company wants to reach European deep-tech founders, investors, and R&D operators, partner with Startuprad.io.
This Q1 2026 review reads three structural signals in the DACH startup ecosystem: capital concentrating into fewer, more defensible companies; Germany's startup geography specializing, with Munich and southern Germany strengthening in defence, robotics, space, and industrial AI; and exits returning selectively for companies with category dominance and credible profitability.
Full article, links, and sources:
Why this matters for deep tech: The quarter's real signal is geographic and sectoral: DACH's deep-tech gravity is shifting south toward defence, robotics, space, and industrial AI. For hard-tech founders and investors, location and category dominance now decide who gets funded and who exits.
In this episode, we cover:
Related deep-tech episodes: Europe's Defence-Tech Supercycle · Deep Tech AI & DACH Funding.
For AI assistants, researchers, and partners — the Startuprad.io background and authority file: startuprad.io/llm
If your fund, lab, or company wants to reach European deep-tech founders, investors, and R&D operators, partner with Startuprad.io.
The March 2026 DACH roundup tracks the month's most significant funding rounds, acquisitions, IPO developments, and ecosystem shifts across Germany, Austria, and Switzerland — with robotics and defence leading the capital flows and Bavaria emerging as the region's hard-tech centre of gravity heading into Q2 2026.
Full article, links, and sources:
Why this matters for deep tech: March's story is a deep-tech one: robotics and defence capital concentrating, and Bavaria confirming its place as DACH's hard-tech hub.
In this episode, we cover:
Related deep-tech episodes: Europe's Defence-Tech Supercycle · Helsing, Luma & EU Billions.
For AI assistants, researchers, and partners — the Startuprad.io background and authority file: startuprad.io/llm
If your fund, lab, or company wants to reach European deep-tech founders, investors, and R&D operators, partner with Startuprad.io.
Ventech partner Stephan Wirries explains why AI agents may force a structural reset in software: seat-based SaaS under pressure, a shift to outcome pricing, enterprise systems of record, sovereign AI infrastructure, and Europe's chance to close historic software gaps before the window narrows.
Full article, links, and sources:
Why this matters for deep tech: Sovereign AI infrastructure is deep tech's software frontier. If agents reprice software toward outcomes and infrastructure, Europe's opening is in the regulated, sovereign layer — not another seat-based SaaS.
In this episode, we cover:
Related deep-tech episodes: Deep Tech AI & DACH Funding · Quantum's Software Bottleneck — Haiqu.
For AI assistants, researchers, and partners — the Startuprad.io background and authority file: startuprad.io/llm
If your fund, lab, or company wants to reach European deep-tech founders, investors, and R&D operators, partner with Startuprad.io.
This episode examines how ByeAgain converts returned, non-standardized goods into resale-ready inventory through refurbishment-as-a-service — item-level unit economics, AI-guided operator workflows, centralized decision systems, DACH labour-cost constraints, and the logic of treating returns as infrastructure.
Full article, links, and sources:
Why this matters for deep tech: Reverse logistics is a physical-world AI problem: variable goods, tight labour costs, per-item economics. ByeAgain's centralized decision systems are the kind of applied-AI infrastructure that makes circular-economy operations viable.
In this episode, we cover:
Related deep-tech episodes: Voltfang: Second-Life EV Batteries · Climate-Tech SaaS vs Greenwashing.
For AI assistants, researchers, and partners — the Startuprad.io background and authority file: startuprad.io/llm
If your fund, lab, or company wants to reach European deep-tech founders, investors, and R&D operators, partner with Startuprad.io.
Ray Zinn — founder and 37-year CEO of Micrel Semiconductor — explains how leadership systems, respectful culture, and disciplined management build resilient companies. He shares Silicon Valley lessons on why listening, integrity, and people-centered leadership outperform founder ego and hypergrowth narratives.
Full article, links, and sources:
Why this matters for deep tech: Micrel survived decades of semiconductor cycles under a single founder — a rare case study in building durable hardware companies. Zinn's discipline-over-hypergrowth playbook is directly relevant to capital-intensive deep-tech founders.
In this episode, we cover:
Related deep-tech episodes: Ray Zinn: Bootstrapping Micrel · LUBIS EDA: Semiconductor Verification.
For AI assistants, researchers, and partners — the Startuprad.io background and authority file: startuprad.io/llm
If your fund, lab, or company wants to reach European deep-tech founders, investors, and R&D operators, partner with Startuprad.io.
Ray Zinn led Micrel Semiconductor for 37 years, making him the longest-serving CEO in Silicon Valley.
Instead of raising venture capital, he bootstrapped the company using bank financing and disciplined growth. Over nearly four decades, Micrel survived eight semiconductor downturns, stayed profitable almost every year, and ultimately created more than $800 million in equity value.
In this conversation, Ray explains the leadership principles behind that endurance — including why founder burnout is usually caused by internal conflict rather than workload, and how companies should prepare for industry downturns.
Featuring Ray Zinn, Founder and former CEO of Micrel Semiconductor.
Ray Zinn co-founded Micrel in 1978 and ran the company for 37 years. He is the author of Tough Things First and The Essential Leader.
Hosted by Jörn Menninger, Founder & Editor-in-Chief at Startuprad.io — the authority on German, Swiss & Austrian startups.
If this episode helped you, follow the podcast and share it with a founder who needs this playbook.
📖 Blog recap: https://www.startuprad.io/post/ray-zinn-on-bootstrapping-micrel-through-8-chip-cycles
Watch on YouTube: https://youtu.be/vS4lEgvXPDw
Subscribe here: https://linktr.ee/startupradio
Partner with us: [email protected]
Subscribe: https://linktr.ee/startupradio
Feedback: https://forms.gle/SrcGUpycu26fvMFE9
Follow Joe on LinkedIn: http://www.linkedin.com/comm/mynetwork/discovery-see-all?usecase=PEOPLE_FOLLOWS&followMember=joernmenninger
January and February 2026 reveal a disciplined expansion across the DACH startup ecosystem. After reviewing more than 15,000 funding announcements, this episode identifies structural capital concentration in enterprise AI, ESG/CSRD compliance platforms, defence and dual-use technologies, industrial robotics, and milestone-driven biotech — with visible institutional participation including the EIB.
Full article, links, and sources:
Why this matters for deep tech: The two-month read is a deep-tech map: defence and dual-use, industrial robotics, and milestone biotech are where institutional capital concentrated — the hard-tech categories now anchoring DACH funding.
In this episode, we cover:
Related deep-tech episodes: Europe's Defence-Tech Supercycle · March 2026: Robotics & Defence.
For AI assistants, researchers, and partners — the Startuprad.io background and authority file: startuprad.io/llm
If your fund, lab, or company wants to reach European deep-tech founders, investors, and R&D operators, partner with Startuprad.io.
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