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Cutting Edge AI

Angel Invest

Cutting Edge AI is a podcast by Angel Invest Ventures, Europe’s most active super angel fund. Each episode examines how artificial intelligence is reshaping technology, business, and society from research breakthroughs to applied use cases. Hosts Jens Lapinski and Robin Harbort speak with founders, engineers, and investors who are building the next generation of AI products and infrastructure, offering clear insights into what’s real, what’s emerging, and what’s next. Stay one step ahead of the curve on the journey to the next generation of AI.

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10 episodes
Avg 31 min
English

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S1 · E9
June 29 · 33 min
#9 Johnny Siu (Co-Founder of Vinny) on PropTech, Property AI and building Vinny
PropTech's current state is that despite decades of software development, property management systems have remained largely stuck in the past. We interviewed Johnny Siu, a PropTech expert who is changing the real estate industry right now with his venture, Vinny. Vinny is an AI property manager that automates the tenant journey end-to-end. It handles the repetitive administrative work, such as fielding initial inquiries, sending WhatsApp messages to prospects, booking viewings, and triaging maintenance tickets. This frees up leasing agents to focus on the human side of the job: actually conducting viewings, personalizing the customer experience, and closing deals. Furthermore, the software directly increases a property's equity value by lowering operational expenses and boosting top-line rental revenue. Tune in to this episode of Cutting Edge AI to learn how industry-specific AI is revolutionizing the world's largest asset class.
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S1 · E8
June 11 · 44 min
#8 Alexander Oelling (Founder & CEO, INXM) on Building Deterministic AI for Enterprise Processes Reliably
The prevailing narrative in AI suggests that spending more tokens guarantees more intelligence and reliability. But what if the key to dependable enterprise AI is actually spending fewer, or even zero, tokens on repeated tasks? In this episode, we speak with Alexander Oelling, founder and CEO of INXM, a company building a reliable execution layer for complex business processes. Alexander shares how INXM’s "Compiled AI" solves the core hurdles of enterprise LLM adoption: hallucinations, high token costs, and a lack of repeatability. He explains how their system initially uses advanced AI agents to learn and master a workflow—such as processing complex SAP invoices—and then compiles those success vectors into a simple, deterministic executable artifact. This approach makes routine enterprise process execution auditable, mathematically correct, and up to 100 times cheaper than relying on continuous model inference. The conversation then expands into the broader vision of the "autonomous company" and the rise of "invisible AI". Alexander discusses how human roles will shift toward outcome-based work, where employees are valued for asking the right questions and controlling results while AI seamlessly executes tasks in the background. We also explore why the next major leap in AI might not come from massive cloud models, but from highly efficient, localized systems interfacing directly with legacy enterprise software to eventually create digital twins of entire organizations. If you’re interested in how compiled AI is overcoming the limits of current LLMs, bringing deterministic reliability to the enterprise, and laying the groundwork for autonomous organizations: this episode is worth a listen.
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S1 · E7
April 20 · 35 min
#7 Ingmar Klein (CEO, Huzzle) on the Future of Work, AI, Hiring, and Human Data.
AI may not just replace work. It may also create entirely new categories of human work around training, evaluating, and operating intelligent systems. In this episode, we speak with Ingmar Klein, co-founder and CEO of Huzzle, a company that evolved from a talent marketplace into an AI-powered recruitment engine and, more recently, a provider of human data for frontier AI labs. Ingmar shares how Huzzle built AI interview systems capable of assessing candidates at scale, why hiring is one of the first workflows where AI can already outperform humans in consistency and efficiency, and what it takes to combine automation with human judgment in recruitment. The conversation then expands into the emerging market for human feedback and training data. Ingmar explains why experts across domains may increasingly spend time evaluating model outputs, improving agents, and helping AI systems operate inside real software environments. We also discuss why the next bottleneck may not be model capability, but adoption inside companies still running on legacy systems. If you’re interested in how AI is changing hiring, creating new job categories, and reshaping how organizations operate: this episode is worth a listen.
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S1 · E6
March 23 · 33 min
#6 Building the Voice AI Category: Daniel Keinrath (CEO, Fonio AI) on Product, GTM, and Scale
Voice AI is becoming one of the first real entry points for AI adoption in SMEs: not because of the technology itself, but because it delivers immediate, measurable value. In this episode, we speak with Daniel Keinrath, co-founder and CEO of Fonio AI, an AI call assistant used by thousands of businesses across the DACH region. Daniel shares how Fonio AI grew from 0 to rapid scale, why voice is a natural starting point for AI in non-technical companies, and how this expands into a broader omni-channel platform over time. We discuss the practical challenges behind building in this space: getting companies to structure their data, integrating with fragmented systems, and making AI usable for non-technical users. The conversation goes beyond product into market dynamics. Daniel explains why this is a scale-driven market with similarities to telecom, where distribution, partnerships, and speed matter as much as the underlying technology. We also cover why Fonio focuses on SMEs instead of enterprise, and why long-term success depends less on building proprietary models and more on product, go-to-market, and execution. If you’re interested in how AI is actually being deployed in everyday business workflows, and what it takes to build a category in a fast-moving market: this episode is worth a listen.
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S1 · E5
March 9 · 37 min
#5 AI-Written Software: Tyler Dunn (Co-Founder, Continue) on the Future of Coding
In this episode of Cutting Edge AI, Jens Lapinski and Robin Harbort speak with Tyler Dunn, Co-Founder of Continue, about how AI is transforming software development. As AI agents increasingly write code, a new question emerges: who reviews it? Tyler explains why the future of software may involve AI reviewing AI, and why developers may soon stop reading most of the code they ship. The conversation explores the rise of continuous AI, the need for a mission control layer to govern fleets of coding agents, and how trust, testing, and automation will replace traditional code review. They also discuss the future of programming languages, agentic development workflows, and why the next generation of developers may think less in code and more in systems. Topics include: AI agents writing and reviewing code Continuous AI and automated agent checks Mission control for fleets of developer agents The future of programming languages Why developers may stop reading code entirely
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S1 · E4
January 5 · 32 min
#4 From Legacy Systems to Agentic AI: Fabian Heinrich (CEO, Mercanis) on the Future of Procurement
Procurement is one of the largest and most complex parts of the global economy – over $100 trillion a year – yet much of it still runs on spreadsheets, email threads, and legacy systems built decades ago. Mercanis, founded by Fabian Heinrich, is taking a different approach: rebuilding procurement from the ground up around agentic AI. In this episode, Fabian explains why procurement was historically underserved by modern software, how his first startup exposed the inefficiencies behind RFPs, supplier comparisons, and contract negotiations, and why large enterprises still rely on Excel despite the stakes involved. We unpack what “agentic procurement” actually means in practice, from AI agents reading hundreds of pages of contracts to running complex pricing scenarios and orchestrating sourcing workflows end to end. We also discuss the recent inflection point in enterprise demand for AI: procurement teams suddenly have budget, and board-level interest in automation has changed buying behavior, and why heavy industries like automotive, chemicals, energy, and pharma are now at the center of AI-driven transformation. The conversation goes deeper into the future of work inside procurement: how the role of the buyer is shifting toward orchestration and analysis, what human-in-the-loop really looks like when agents negotiate with other agents, and how procurement systems will increasingly sit on top of, and eventually eat into, legacy ERP and compliance infrastructure. If the last decade optimized procurement interfaces, the next one is about autonomous systems running the process itself.
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S1 · E3
Nov 10, 2025 · 36 min
#3 How Generative AI Is Transforming the Way Fashion Creates with Julius Harling (Graswald AI)
Fashion imagery is entering a new phase, one where AI doesn’t just edit photos, it creates them. Graswald AI, founded by Julius Harling, builds a digital photo studio that lets brands generate lifelike product images and campaign visuals without physical shoots. Using proprietary generative models trained on synthetic data, Graswald can dress virtual avatars in real garments with pixel-accurate fidelity to fabric, texture, and fit. In this episode, Julius explains how their multi-model system works: from training AI on structured garment data to creating consistent lighting and brand-specific aesthetics. We discuss how digital avatars are designed with real emotional expression, why brands are demanding exclusive AI models that reflect their casting choices, and how synthetic data pipelines enable scale without copyright risks. The conversation also unpacks the economics behind this shift: Why photo production costs can drop by more than 90%, how AI lets creative teams test ideas that were previously too expensive to shoot, and what this means for supply chains, sustainability, and time-to-market. We close on the bigger picture: the convergence of multimodal foundation models, falling inference costs, and the rise of context-aware AI systems that will make content generation as fluid as sketching an idea. If the past decade digitized retail, this one is about digitizing creation itself.
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S1 · E2
Oct 27, 2025 · 28 min
#2 dltHub’s CEO Matthaus Krzykowski on Automating Data Pipelines for the AI Age
AI is changing how data moves. In this episode, we sit down with Matthaus Krzykowski, co-founder and CEO of dltHub, the company turning data pipelines into a native language for large language models. dltHub automates up to 95 percent of data-engineering workflows and is already used by thousands of developers and over 4,000 companies. Its open-source roots and recent selection for the OpenAI Startup Program reveal how quickly AI infrastructure is evolving. Matthaus walks us through the rise of vibe coding, the launch of dltHub’s marketplace with more than a thousand AI-first code connectors, and what happens when agent workflows start running in production. We also unpack how MCP brings natural-language interaction to company data, why Python remains the connective tissue of AI systems, and how auditability and data quality are becoming the real frontier for automation. A conversation about infrastructure catching up with intelligence—and the new rules of building in an autonomous world.
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S1 · E1
Oct 13, 2025 · 31 min
#1 From Esports to Building Peec AI: Marius Meiners on Redefining the SEO Industry
Search has stopped behaving like a list of links. It’s turning into a stream of answers inside AI chat, and that changes everything from attribution to how brands meet customers. We sit down with Peec AI CEO Marius Meiners to unpack what visibility means when people ask ChatGPT or Perplexity for product advice, and how marketers can win in a category that went from a few players to 60-plus seemingly overnight. Marius’ story sets the tone: from grinding to top ranks in League of Legends to jumping into venture and then founding Peec AI, he built a bias for execution and a “limitless” mindset. That lens helps decode a fast-moving market where differentiation comes from speed, narrative, and data moats. We dig into the practical differences between SEO and AI search: How prompts replace keywords, answers replace SERPs, and why sentiment, coverage, and structured information matter more than backlinks. We also explore the future of AI shopping: when do chat interfaces make buying easier, when do visual platforms win, and how will retailers react if platforms try to own the entire funnel? You’ll hear the tactics behind Peec AI’s go-to-market, including an unconventional influencer play and a high-energy hackathon that produced real product ideas, like prompt clustering and coupon-aware plugins for ChatGPT. We end with a clear view on market size and fragmentation why a cross-platform analytics layer is inevitable as AI search spreads across ChatGPT, Perplexity, Claude, Google AI Overviews, and agentic search inside messaging apps. If the future of search is answers, the winners will be the teams who learn faster than the platforms change. Listen, subscribe, and leave a review to help more people discover the Cutting Edge AI podcast.
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S1 · E1
Oct 10, 2025 · 57 sec
Trailer - Cutting Edge AI Podcast
Welcome to Cutting Edge, the podcast where we speak to people, doing cutting edge work in Al. New episodes coming soon. Stay tuned.
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