Building a Business on 5-MeO: The World's Most Powerful Psychedelic with Joel Brierre

Turning an Overlooked Clinical Need into a MedTech Startup with Dr. Richard J. Unger

Join Dr. Richard J. Unger, Founder and CEO of RUSKID LLC, for an eye-opening discussion on medical innovation, clinician entrepreneurship, and addressing critical healthcare gaps that hide in plain sight. In high-stakes environments like the operating room and surgical ICU, patient safety depends on continuous, accurate physiological monitoring. Yet, essential clinical concepts can often disappear for decades—leaving clinicians to work around legacy limitations. Drawing on nearly 40 years of medical leadership, including serving as Chief of Staff and Chairman of Anesthesiology at Scripps Memorial Hospital La Jolla and Co-Director of the Surgical ICU at UC San Diego, Dr. Unger shares the journey of turning a long-overlooked clinical question into a venture-backed medical device startup. 🎯 Insights You’ll Learn: The Overlooked Problem Paradox: How critical medical ideas and safety mechanisms can disappear from clinical practice for over 20 years despite an unresolved clinical need. The Clinician-to-Founder Transition: Why frontline physicians have an unmatched advantage in identifying high-impact clinical problems and turning bedside observations into scalable ventures. Next-Gen Airway Intelligence: How RUSKID is engineering smart airway devices to deliver critical, real-time patient monitoring directly in the operating room. Protecting the Workflow: The design philosophy required to build smart medical hardware that improves patient outcomes without adding friction, cognitive overload, or extra steps for anesthesiologists. From Bedside Insight to IP & Prototypes: The operational steps behind protecting proprietary intellectual property, building multidisciplinary engineering teams, raising capital, and navigating preclinical prototypes. Pathway to Clinical Validation: Navigating the complex regulatory, clinical validation, and hospital commercialization pipelines required to bring new Class II medical devices into standard surgical care. 🌍 Why This Matters: Medical technology often suffers from a fundamental disconnect: engineers build complex diagnostic tools in isolation, while clinicians must manage fast-paced operating room workflows with cumbersome equipment. Dr. Richard Unger is bridging this divide. By leveraging four decades of high-acuity clinical experience, Dr. Unger and the RUSKID team are proving that the best medical innovations do not disrupt workflow—they seamlessly integrate into existing clinical routines to elevate patient safety standards worldwide. 👤 Expert Background: Founder & CEO of RUSKID LLC, a medical technology company developing proprietary smart airway devices designed for advanced operating room patient monitoring. Double Board-Certified Physician in Internal Medicine and Anesthesiology, with nearly 40 years of high-acuity surgical and critical care experience. Former Chief of Staff & Chairman of Anesthesiology at Scripps Memorial Hospital La Jolla, leading clinical quality and medical operations. Former Co-Director of the Surgical ICU at UC San Diego, specializing in critical care and complex airway management. 🎙️ Hosted by Gary Fowler, CEO of GSD Venture Studios — global AI entrepreneur, investor, and innovation leader spotlighting founders navigating the realities of building in the AI era. 💡 Perfect For: MedTech founders, anesthesiologists, surgical directors, healthcare venture capital investors, medical device engineers, and clinical entrepreneurs looking to commercialize medical IP. 🚀 Timely Topic: As surgical suites demand higher-fidelity patient monitoring without increasing provider burnout or workflow complexity, smart, integrated medical hardware represents the future of perioperative care. Dr. Richard Unger delivers the exact blueprint for translating bedside clinical needs into viable medical technologies. #MedTech #Anesthesiology #PatientSafety #MedicalDevices #ClinicianFounder #RUSKID #RichardUnger #GaryFowler #GSDVentureStudios

Keeping Business Secrets in the Era of Cloud, AI, and Industry 4.0 with Andreas Walbrodt

Join Andreas Walbrodt, CEO and Co-Founder of enclaive, for an essential exploration of cybersecurity, data sovereignty, and business confidentiality in an increasingly cloud-reliant world. While enterprises have spent decades securing data at rest (in storage) and in transit (over networks), sensitive workloads remain completely unencrypted the moment they are processed in memory. As organizations rush to adopt public cloud platforms, scale Industry 4.0 smart manufacturing, and deploy proprietary AI models, this "in-use" vulnerability creates catastrophic exposure to cloud operator access, third-party subpoenas, and cyber threats. Drawing on over 30 years of enterprise IT leadership at IBM and TÜV Rheinland, Andreas explains how confidential computing closes this gap—allowing businesses to leverage hyper-scale cloud power without sacrificing sovereignty, compliance, or core intellectual property. 🎯 Insights You’ll Learn: The "Data-in-Use" blindspot: Why traditional encryption falls short when executing AI inference, RAG pipelines, or processing proprietary Industry 4.0 telemetry. Demystifying Confidential Computing: How hardware-based trusted execution environments (TEEs) and hardware memory encryption protect data during active computation—even from cloud admins or hosting providers. Zero-Code Refactoring Cloud Migration: Inside enclaive’s Multi-Cloud Platform (eMCP) that enables "lift-and-shift" confidential VMs, Kubernetes clusters, and AI workloads without rewriting application code or replacing hardware. Navigating European Digital Sovereignty: How confidential execution aligns with stringent EU regulations like NIS2, DORA, GDPR, and the BSI C5 framework while insulating companies from third-country extra-territorial access (e.g., the U.S. CLOUD Act). Protecting AI Models and Prompts: Running enterprise AI algorithms, private fine-tuning, and LLM inference across public cloud GPUs while keeping the underlying model weights and customer data completely private. From Hardware Silos to Multi-Cloud Trust: Moving away from rigid, expensive Hardware Security Modules (HSMs) to customer-held encryption keys and cryptographic runtime attestations. 🌍 Why This Matters: The modern enterprise faces a steep dilemma: lock intellectual property inside expensive, rigid on-premise data centers, or migrate to public clouds and risk regulatory non-compliance, data leaks, and lost operational control. For highly regulated sectors like financial services, healthcare, critical infrastructure, and advanced manufacturing, this tradeoff halts innovation. Andreas Walbrodt is solving this fundamental trust gap. By turning confidential computing into a practical software layer that deploys across any cloud provider in days, enclaive gives enterprises absolute cryptographic proof that their secrets remain strictly their own. 👤 Expert Background: CEO & Co-Founder of enclaive, a Frankfurt/Berlin-based deep-tech cybersecurity company pioneering multi-cloud confidential computing platforms. 30+ Year Enterprise Tech Strategist, having held senior leadership roles driving cloud innovation and data security at IBM and TÜV Rheinland. European Digital Sovereignty Contributor, active voice in the European cybersecurity ecosystem and contributor to European Cybersecurity Mapping initiatives. Award-Winning Industry Innovator, leading enclaive through its €4.1M Seed round backed by Join Capital, Amadeus APEX Technology Fund, and Auriga Cyber Ventures. 🎙️ Hosted by Gary Fowler, CEO of GSD Venture Studios — global AI entrepreneur, investor, and innovation leader spotlighting founders navigating the realities of building in the AI era. 💡 Perfect For: Chief Information Security Officers (CISOs), Chief Technology Officers, Cloud Architects, Enterprise Compliance Officers, Industrial IoT Directors, and AI/ML Operations leaders navigating multi-cloud security and digital sovereignty.

Agentic Commerce: Buyer-Loyal Infrastructure for AI Shopping with Denis Yurchenko

Join Denis Yurchenko, Founder and CEO of MTLAB and creator of Uverest, for an insider look at the fundamental shift transforming global retail infrastructure. For thirty years, e-commerce personalization—from Amazon search rankings to social media feeds—has been paid for by the seller, making the consumer the product rather than the customer. Amazon's $50 billion annual ad business represents a tax on product relevance, forcing consumers to navigate sponsored listings and broken checkout funnels. Denis breaks down why traditional Web architecture fails AI agents, how Uverest provides a buyer-loyal data and checkout layer, and why incumbent marketplace giants cannot copy buyer-aligned AI without destroying their core business models.🎯 Insights You’ll Learn:The Buyer-Loyalty Principle: Why true AI shopping agents must work exclusively for the consumer rather than accepting affiliate payouts or sponsored ranking bids.The Ad-Tax Cannibalization Paradox: Why legacy e-commerce platforms like Amazon cannot deploy genuinely neutral shopping agents without destroying multi-billion-dollar advertising P&Ls.Overcoming Web-Scraping Structural Failure: Why unstructured web pages—laden with embedded image text, deceptive stock counts, and CAPTCHA walls—cause autonomous agents to fail at checkout.Uverest’s OS Architecture: How Uverest serves as a buyer-loyal API layer connecting LLM agents directly to store inventory feeds with real-time stock and dynamic visual try-ons.Native In-Chat Purchase Rails: Bypassing traditional carts, 3D-Secure hurdles, and cookie tracking to execute native transactions directly within the chat interface.The Sunset of Affiliate Links: Why the $12 billion affiliate marketing industry breaks when AI agents perform discovery and purchasing without human click-throughs.The 2030 Commerce Landscape: How brick-and-mortar retailers and online brand stores will transition into automated backend fulfillment nodes serving autonomous AI buyers.🌍 Why This Matters: The global e-commerce ecosystem was engineered for human eyeballs, relying on visual impulse triggers, endless browser tabs, and manual checkout forms. As consumer shopping migrates directly into conversational AI interfaces, raw web scraping fails to deliver reliable purchasing outcomes. Denis Yurchenko is building the necessary plumbing for this transition. By unifying 15,000+ brands and 3 million+ products into a clean, machine-readable data layer backed by AWS, NVIDIA Inception, and the NRF Innovation Lab, Uverest ensures AI agents can find accurate, unbiased products and complete purchases in a single tap.👤 Expert Background:Founder & CEO of MTLAB & Uverest, the underlying operating system powering buyer-loyal agentic commerce and automated checkout rails.25-Year Retail Infrastructure Veteran, who previously built high-scale data analytics platforms for global retail giants including IKEA, DHL, Auchan, and major European e-commerce operators.Successful Serial Founder, who scaled and successfully exited his previous retail analytics enterprise in 2023 before founding MTLAB in Dubai.Backed by Premier Tech Coalitions, leading a 10-person team (including 2 PhDs) supported by AWS, NVIDIA Inception, and the National Retail Federation (NRF) Innovation Lab.🎙️ Hosted by Gary Fowler, CEO of GSD Venture Studios — global AI entrepreneur, investor, and innovation leader spotlighting founders navigating the realities of building in the AI era.💡 Perfect For: E-commerce executives, retail technology directors, AI agent developers, venture capital investors in consumer tech, and brand strategists preparing for the transition from digital storefronts to agentic supply networks.🚀 Timely Topic: As consumers increasingly rely on conversational AI to handle everyday product discovery, legacy merchant advertising models are facing unprecedented disruption.

Hardware DeepTech in the AI Era: Fixing Green Hydrogen with Physics with Rutvika Acharya Olofsson

Join Rutvika Acharya Olofsson, Co-Founder and CEO of Caplyzer, for a candid exploration of deeptech venture building in an era obsessed with fast software iteration. In a market where artificial intelligence enables founders to build, package, and monetize software products in a matter of hours, hardware deeptech faces a fundamentally different reality: multi-year R&D cycles, physical supply chain constraints, and high capital intensity. Drawing from her international career as an aerospace engineer leading product strategy across Sweden, the US, Liechtenstein, and Singapore—as well as her experience building and closing her first startup, MOAI—Rutvika shares why software speed cannot replace physical infrastructure when it comes to solving humanity's largest industrial challenges. 🎯 Insights You’ll Learn: Hardware DeepTech vs. Instant AI Iteration: Navigating the widening divergence between instant software ROI and long-horizon deeptech capital deployments—and why physical atoms remain the ultimate moat. Why the Green Hydrogen Market Is Broken Today: The hidden unit-economic and safety barriers holding back global adoption—specifically how legacy electrolyzers rely on expensive membranes, scarce rare-earth metals (like iridium and platinum), and face severe gas-mixing explosion risks. The Membrane-Free, Decoupled Breakthrough: How Caplyzer’s KTH spin-off technology uses super-capacitive, decoupled water splitting to produce hydrogen and oxygen separately without costly, fragile membranes or precious metal catalysts. Decarbonizing Heavy Industry for Net Zero: Why electrification alone cannot fix steel, fertilizer, or heavy chemicals, and why cost-effective green hydrogen is non-negotiable for industrial net-zero targets. The Resilience of a Second-Time Founder: Key lessons from scaling and closing MOAI (an international talent onboarding platform), pivoting into deeptech leadership, and raising institutional backing from Trio Impact Invest, Almi Invest, and KTH Ventures. Scaling DeepTech While Growing a Family: The personal reality of securing venture funding, navigating top-tier European recognition (KPMG Global Tech Innovator finalist, EU-Startups Top 15), and leading a high-growth startup while pregnant and welcoming her first child. 🌍 Why This Matters: While generative AI can optimize digital workflows, it cannot split a water molecule or decarbonize a steel plant. Heavy industry accounts for over 30% of global greenhouse emissions, and over 90% of current industrial hydrogen is still produced using fossil fuels (gray/black hydrogen). Rutvika Acharya Olofsson is tackling this structural roadblock head-on. By commercializing Caplyzer’s novel membrane-free, earth-abundant electrolyzers, she is lowering green hydrogen production costs by up to 30%, making clean energy economically compelling for heavy industrial adoption. 👤 Expert Background: Co-Founder & CEO of Caplyzer, the Swedish KTH spin-off developing next-generation, membrane-free electrolyzers for cost-effective green hydrogen. Former Aerospace Engineer & Corporate Strategist, with over a decade of global hardware development and product leadership across Sweden, the US, Liechtenstein, and Singapore. Second-Time Entrepreneur, previously founder of MOAI (Venture Cup Game Changer award winner and Top 10 Young Idea in Sweden). Recognized DeepTech Leader, named among EU-Startups' top companies to watch and top finalists in the KPMG Global Tech Innovator competition. 🎙️ Hosted by Gary Fowler, CEO of GSD Venture Studios — global AI entrepreneur, investor, and innovation leader spotlighting founders navigating the realities of building in the AI era. 💡 Perfect For: CleanTech and DeepTech investors, climate engineers, energy sector directors, industrial sustainability officers, hardware founders, and venture capitalists assessing the balance between short-term software plays and long-term physical infrastructure investments.

Why "AI-First" Is the Wrong Goal: Responsible Tech in HealthTech with Michelle Wiltse

Join Michelle Wiltse, Founder and CEO of CompanAIn, for a grounded discussion on why the tech industry’s rush toward "AI-first" branding often undermines true enterprise value. In a market flooded with companies rushing to wrap basic wrapper interfaces around large language models, Michelle took a radically different path. Having previously led agentic AI capabilities and deployed multi-agent systems for major global institutions, she chose to apply this frontier technology where it matters most: eliminating health data fragmentation for companion animals nationwide. In this episode, Michelle shares why the smartest AI strategy prioritizes deliberate restraint—using AI only where it solves genuine structural problems—and how a mission-driven mindset beats superficial "AI theater" every time. 🎯 Insights You’ll Learn: The "AI-First" Trap: Why labeling your company "AI-first" often signals short-term hype rather than sustainable, long-term technical value. Restraint as a Technical Advantage: Why frontier technology should be deployed selectively to synthesize unstructured, fragmented data rather than attempting to replace human clinical judgment. The Multi-Agent Architecture for Health: How dedicated, specialized AI agents—modeled after multidisciplinary veterinary care teams—collaborate on tasks like lab parsing, triage, and longitudinal trend analysis. Building Connected Health Records: Unifying scattered medical histories, point-in-time clinic records, and home health observations into a single, trusted picture for pet owners and vets. Mission-Driven Discipline vs. Quick Monetization: Tactical lessons on building lean, defensible healthcare infrastructure over chasing superficial feature releases. From Big Data to Purpose-Driven Founder: How Michelle's career across big data, finance, and global consulting informed her approach to building production-grade, human-centered software. 🌍 Why This Matters: Companion animal healthcare suffers from severe structural fragmentation. Critical health data sits siloed across different veterinary clinics, diagnostic labs, and everyday home tracking, forcing pet parents and clinicians to make reactive decisions with incomplete information. Michelle Wiltse is fixing this broken continuity of care. By avoiding unnecessary AI add-ons and engineering multi-agent systems designed specifically to connect longitudinal health signals, CompanAIn gives pet owners and care teams the clear, contextual insights needed to catch health issues early and extend the healthy lives of companion animals. 👤 Expert Background: Founder & CEO of CompanAIn, a healthtech platform creating the connected health record for companion animals using human-centered agentic AI. Former Enterprise Agentic AI Leader, who helped establish and scale multi-agent system capabilities for global technology consulting firms and financial institutions. Big Data & Analytics Veteran, with a background spanning Deloitte, Nielsen, and McLagan Data & Analytics. Advanced Global Academic Credentials, holding a Phi Beta Kappa degree from Clemson University and an MSc in Global Finance from Bayes Business School. 🎙️ Hosted by Gary Fowler, CEO of GSD Venture Studios — global AI entrepreneur, investor, and innovation leader spotlighting founders navigating the realities of building in the AI era. 💡 Perfect For: HealthTech founders, enterprise AI architects, veterinary technology leads, impact investors, and startup leaders who value sustainable infrastructure and engineering restraint over market hype. 🚀 Timely Topic: As the initial AI hype cycle matures into a demand for measurable, real-world utility, companies built on superficial chat wrappers are falling away. Michelle Wiltse provides the exact product philosophy and technical framework required to build responsible, high-impact platforms. Subscribe for more global founder conversations from GSD Venture Studios: https://gsdvs.com