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In this episode of TECS Lens - Emerging Founders, Antonis sits down with Miguel Castellano, co-founder of Sablier, to explore the journey of building a startup at the intersection of generative AI, mathematical modeling and business-critical prediction systems. Miguel shares his transition from academia to entrepreneurship, unpacking what it really takes to build a company around complex systems. We discuss the myths of startup culture, the level of dedication required behind the scenes, and why flexibility and perseverance matter more than perfect plans. We discuss: – Moving from academic research to building AI-driven products – Applying generative AI and mathematical models to market simulation – Automating model building for complex financial systems – The challenges of innovating in the financial industry – Debunking common startup myths and unrealistic narratives – Building trust, empathy, and collaboration within teams – Leadership lessons from navigating uncertainty and growth – The human side of scaling deep-tech companies Miguel also shares how Sablier is rethinking market simulation by combining automation, AI, and rigorous modeling, aiming to make predictive systems more adaptable, transparent and scalable for real business use cases. This conversation is ideal for founders, investors, engineers and tech leaders interested in how AI can move beyond experimentation to power critical decision-making in complex industries. 🎧 Tune in for an honest and thoughtful discussion on AI, entrepreneurship, and building technology that truly matters. Explore more about Sablier here: https://sablier.it/ #GenerativeAI #ArtificialIntelligence #FinTech #DeepTech #StartupJourney #MathematicalModeling #TECSLens