Deep Tech Germany – AI, Robotics & Frontier Innovation by Startuprad.io™

How does a marine biologist build a biotech powerhouse? This episode traces the journey from the lab bench to a scaled life-sciences company — the science, the commercialization, and the hard road of building deep biotech.

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Why this matters for deep tech: Biotech is deep tech at its most fundamental — long R&D, regulatory rigor, and science that takes years to commercialize. This founder's path shows what building a real life-sciences company demands.

In this episode, we cover:

• From marine biology to founding a biotech company
• Turning deep science into a scaled business
• The commercialization road for life sciences
• Regulatory and R&D realities of biotech
• Lessons for deep-tech and science founders

Related deep-tech episodes: Biotech Germany: The Qiagen Story · CanChips: Tumor-on-a-Chip.

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.

Germany's Business Angel of the Year, Carsten Kraus, reveals the strategies, AI tools, and investment insights shaping early-stage startup investing in the DACH region.

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Why this matters for deep tech: Kraus is a deep-tech operator turned investor; his use of AI tools to source and evaluate deals is applied AI meeting early-stage capital — a window into how technical angels back hard tech.

In this episode, we cover:

• Carsten Kraus, Germany's Business Angel of the Year
• AI tools for sourcing and evaluating deals
• Early-stage investment strategies in DACH
• How a technical angel evaluates founders
• The future of AI-assisted angel investing

Related deep-tech episodes: Deep Tech AI & DACH Funding · Europe's Defence-Tech Supercycle.

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.

How do you scale a cybersecurity company through relentless threat pressure? This episode draws lessons from Link11 on building and growing a security business — hypergrowth, resilience, and defending customers at scale.

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Why this matters for deep tech: Cybersecurity is deep tech under live fire: latency-sensitive infrastructure that has to work while under attack. Link11's scaling story is a lesson in building hard security tech.

In this episode, we cover:

• Scaling a cybersecurity startup under constant threat pressure
• Building resilient security infrastructure
• Hypergrowth in a high-stakes category
• Defending customers at scale
• What security founders learn the hard way

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.

Introducing Reid riffs on Signal, AI for cancer detection, and GPT-4o image generation from Possible.

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In the wake of Atlantic editor-in-chief Jeffrey Goldberg’s accidental inclusion in senior government officials’ Signal group chat discussing war plans, Reid weighs in on how the U.S. government should—and shouldn’t—use encrypted messaging apps. He and Aria also discuss AI-powered breakthroughs in cancer detection and medical diagnostics, along with NVIDIA’s newly announced Superchip and OpenAI’s latest image generation capabilities. 

For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/ 

DISCLAIMER: Please note, this is an independent podcast episode not affiliated with, endorsed by, or produced in conjunction with the host podcast feed or any of its media entities. The views and opinions expressed in this episode are solely those of the creators and guests. For any concerns, please reach out to [email protected].

Link11 CEO Jens-Philipp Jung reveals his blueprint for hypergrowth, cybersecurity dominance, and surviving massive DDoS attacks — how a European security company defends critical infrastructure under extreme load.

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Why this matters for deep tech: DDoS defense is real-time deep tech: absorbing attack traffic at network scale without dropping legitimate users. Jung's blueprint is a window into building hard security infrastructure.

In this episode, we cover:

• Jens-Philipp Jung (CEO, Link11) on surviving massive DDoS attacks
• A blueprint for cybersecurity hypergrowth
• Defending critical infrastructure under load
• Building European security dominance
• The engineering behind DDoS protection

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.

Introducing Andrew Bosworth on AI, wearables, and mixed reality from Possible.

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The evolution of AI is changing the way we interact with the physical world, not just in how we use this technology, but also where and how we access it.

In this episode, Reid and Aria sit down with Meta’s Chief Technology Officer, Andrew “Boz” Bosworth, who is pioneering wearables for the company. Boz’s journey in the tech sector has taken him from working on Microsoft Visio to founding Reality Labs, Meta’s AR and VR division. Now, he’s focused on the next frontier in mixed realities with his latest project, Orion, a pair of AR glasses. Boz offers an Orion demo and shares his vision for wearables as an equalizing technology that can unlock superpowers for every person. Plus, they check-in on the state of AI as it relates to open source software, safety, hyperscalers, and startups.  

For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/ 

Topics:

1:03 - Episode introduction

3:36 - How Boz’s farm upbringing influenced his career and perspective on the digital world 

7:02 - How will wearables influence how we navigate the physical and digital worlds? 

9:46 - Meta's AI philosophy

11:27 - Pi explains Norbert Wiener's construct of information theory

14:28 - What would it take to build AI world models?

15:09 - What are the most significant use cases for Orion?

19:01 - Can Orion accommodate monocular vision?

20:00 - Boz's response to Orion skeptics

22:29 - Boz gives predictions on our AI future

25:09 - What would it look like to have a compatible system of wearables? 

27:30 - Unexpected discoveries from Orion testing

29:33 - What is Meta's focus in the AI space for the years to come?

30:48 - How do we ensure that AI innovation is used for good?

35:28 - Boz responds to Meta's changes in fact checking policy

37:11 - How will hyperscalers and start-ups flourish in the AI game?

40:06 - Boz shares his review on “The Wild Robot”

42:24 - Rapid-fire questions

Select mentions: 

The Martian by Andy Weir

Project Hail Mary by Andy Weir

I Am a Strange Loop by Douglas Hofstadter

J. C. R. Licklider, psychologist and computer scientist

Douglas Engelbart, engineer and computer science pioneer

Norbert Wiener, computer scientist and mathematician

Yann LeCun, computer scientist and Chief AI Scientist at Meta 

Michael Abrash, Chief Scientist, Reality Labs, Meta

Garry Kasparov, Russian chess grandmaster

4-H, a youth development program from the USDA

The Biometric Information Privacy Act (BIPA)

Qualified Business Income Deduction (QBI)

Possible is an award-winning podcast that sketches out the brightest version of the future—and what it will take to get there. Most of all, it asks: what if, in the future, everything breaks humanity's way? Tune in for grounded and speculative takes on how technology—and, in particular, AI—is inspiring change and transforming the future. Hosted by Reid Hoffman and Aria Finger, each episode features an interview with an ambitious builder or deep thinker on a topic, from art to geopolitics and from healthcare to education. These conversations also showcase another kind of guest: AI. Whether it's Inflection’s Pi, OpenAI’s ChatGPT or other AI tools, each episode will use AI to enhance and advance our discussion about what humanity could possibly get right if we leverage technology—and our collective effort—effectively.

DISCLAIMER: Please note, this is an independent podcast episode not affiliated with, endorsed by, or produced in conjunction with the host podcast feed or any of its media entities. The views and opinions expressed in this episode are solely those of the creators and guests. For any concerns, please reach out to [email protected].

Dive into the DACH region's startup scene: this March 2025 roundup covers the AI, venture-capital, and fintech trends shaping Germany, Austria, and Switzerland.

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Why this matters for deep tech: The month's AI and venture signals point where deep-tech capital is concentrating — the categories building DACH's next generation of hard-tech companies.

In this episode, we cover:

• AI trends shaping the DACH startup scene
• Venture-capital movements in March 2025
• Fintech developments across the region
• Where deep-tech capital is concentrating
• Signals for founders and investors

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.

Video calls flatten authentic human connection. This episode explores how AI is being used to restore natural eye contact and presence in remote conversations — the technology behind more human video communication.

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Why this matters for deep tech: Real-time perceptual AI — correcting gaze and presence live in a video stream — is a hard applied-AI problem in latency and model efficiency, not a filter.

In this episode, we cover:

• How AI restores authentic connection in video calls
• Real-time gaze and presence correction
• The latency and efficiency challenges of live video AI
• Why remote communication feels flat
• Applied perceptual AI in practice

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.

Introducing Re-release of Trevor Noah | Celebrating two years of Possible! from Possible.

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It's been two years since the Possible podcast began, so we’re taking a moment to return to the beginning: our series launch episode with Trevor Noah. First, Aria and Reid sit down to revisit aspects of the original conversation, exploring just how much has changed in the AI space since Possible launched. Then, you’ll hear the Webby-award-winning episode in full.

For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/

DISCLAIMER: Please note, this is an independent podcast episode not affiliated with, endorsed by, or produced in conjunction with the host podcast feed or any of its media entities. The views and opinions expressed in this episode are solely those of the creators and guests. For any concerns, please reach out to [email protected].

This episode explores the game-changing impact of AI phone assistants on customer service — how small and mid-sized businesses use voice AI to handle calls, cut wait times, and scale support.

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Why this matters for deep tech: Reliable voice AI on the phone is applied-AI infrastructure: speech, latency, and orchestration that must work on every call. It's a harder systems problem than a chat widget.

In this episode, we cover:

• How AI phone assistants transform SME customer service
• Voice AI handling real customer calls
• Cutting wait times and scaling support
• The systems challenges of production voice AI
• Where phone automation wins first

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.