Welcome to Season 3 of AI Founders Podcast – Where Intelligence Meets Execution Previously known as SaaS Universe, we've evolved our format to bring you the unfiltered playbook of how AI founders build from zero to market leadership. Through deep-dive conversations and tactical breakdowns, host Joseph Abraham explores the critical decisions that separate AI companies that scale from those that stagnate. Each episode delivers insider access to founders who've cracked the code on AI-specific challenges: navigating the messy reality of go-to-market strategy when your product is "AI-powered," building technical teams that can ship fast while maintaining model quality, and scaling growth when traditional SaaS metrics don't apply. What you'll gain: Go-to-Market Mastery: How successful AI founders position their products, educate markets, and drive adoption when selling "intelligence" instead of features Growth Frameworks: Revenue strategies that work for AI companies, from usage-based pricing to enterprise land-and-expand tactics Team Building Blueprints: Recruiting strategies for ML engineers, data scientists, and AI product managers in a hyper-competitive talent market Technical Strategy: Architecture decisions, model selection, infrastructure choices, and build-vs-buy frameworks that scale Fundraising Reality: What VCs actually want to see in AI companies, from unit economics to technical differentiation Operational Playbooks: Managing AI product development cycles, handling model drift, and maintaining performance at scale Whether you're a technical founder trying to crack your first enterprise deal, an AI startup scaling from product-market fit to growth stage, or a seasoned entrepreneur entering the AI space—this podcast delivers the tactical insights and battle-tested strategies you won't find in generic startup content. No AI buzzwords. No theoretical frameworks. Just real conversations with founders who've built AI companies that customers actually pay for and use. Subscribe now and get the tactical playbook for building AI companies that win.