Advertise on podcast: The {Closed} Session

Most healthcare AI founders pitch the technology instead of patient outcomes. Colin Lawlor, founder of Sleep.ai with 15 years in sleep science and 250+ clinical studies, explains why sleep data requires specialized infrastructure beyond generic LLMs. He reveals how Sleep.ai's billion-hour proprietary dataset creates defensible moats through wearable normalization models, intervention efficacy mapping across 600+ devices, and closed-loop outcome measurement that health apps can't replicate without years of R&D investment. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most founders treat culture like an afterthought until it breaks. George Schlossnagle, founder of Message Systems (sold to MessageBird for $600M), explains why culture debt accumulates faster than technical debt and destroys scaling companies from within. He breaks down the "culture branching" phenomenon that happens around 100 employees, shares frameworks for detecting early warning signs like "that's not how we do things here," and reveals why hiring for cultural fit matters as much as technical capability in post-funding execution. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most enterprise AI delivers generic responses when you need role-specific intelligence. Peter Day, General Partner at super{set} with a PhD in machine learning and 8 years leading product at Quantcast, breaks down why agentic personalization creates unbreachable competitive moats. He reveals the architectural patterns for building software that learns individual preferences in real-time, explains why role collapse will eliminate 60-80% of traditional engineering positions, and details the shift from seat-based SaaS pricing to outcome-driven models that compound user value. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most enterprise AI failures aren't model problems—they're data architecture problems. Vivek Vaidya, serial entrepreneur with 25+ years building enterprise software and current CTO/Co-founder of super{set}, explains why vector databases alone can't solve enterprise AI and why knowledge graphs are foundational for production systems. He breaks down the critical difference between augmented intelligence (AI proposes, human approves) versus full automation, details how governance layers must respect existing enterprise data policies, and reveals why non-deterministic LLM outputs create compliance nightmares that kill enterprise adoption. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most financial markets still run on one-to-one matching when optimization engines could unlock trillions. Kelly Littlepage co-founded OneChronos after exits to major financial institutions, building the fastest-growing US equities market processing $20 billion daily using Nobel Prize-winning combinatorial auction theory. He breaks down why capital markets lagged behind ad markets in auction sophistication, how machine learning solves NP-hard matching problems at Wall Street speed, and why GPU compute markets need combinatorial auctions to handle non-fungible infrastructure across latency zones and chip architectures. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most founders think scaling means hiring more people, but 66% of Inc. 5000 companies fail within eight years because growth without systems is just expensive chaos. Charles Gaudet, founder of Predictable Profits and "CEO Whisperer" who's unlocked $100M+ in client revenue, breaks down why founder-dependent businesses hit inevitable walls regardless of funding or talent acquisition. He reveals the three systematic traps (setup, sales, and scale) that keep seven-figure CEOs trapped in operational bottlenecks. Plus, Charles shares his framework for achieving 50% recurring revenue and removing yourself from daily decision-making without breaking company momentum. This is an episode you don't want to miss. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most AI fundraising advice is performative gibberish disconnected from capital reality. Arjun Dev Arora, managing partner at Format One, breaks down why founders absorbing social media narratives about billion-dollar pre-seed rounds are setting themselves up for failure.  Arjun reveals why traditional VC support models collapse post-check, how technical founders systematically mismanage board dynamics, and why the only defensible AI moats come from proprietary data loops. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most founders pitch the wrong metrics while $200 billion flows into AI startups annually. Vijay Rajendran, author of #1 Amazon bestseller "The Funding Framework" and venture builder at gAI Ventures, breaks down why fundraising feels harder despite abundant capital. He reveals the four-part system that shifts founders from pitching to partnering, why retention metrics will expose vanity user counts, and how inference costs are crushing margins for AI companies that don't understand their unit economics. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most enterprise AI pilots die in the sandbox trap. Miguel Milano, President & CRO at Salesforce with $40B in revenue operations, explains why 95% of AI implementations fail without enterprise-grade data infrastructure and deterministic workflows. He breaks down Salesforce's three-pillar strategy for scaling AI beyond proof-of-concept: data foundations with metadata context, agentic layers that combine probabilistic reasoning with deterministic execution, and apps that codify standard operating procedures into reusable automations. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most founders think storytelling is fluff that distracts from product metrics. Terry Szuplat, Obama's longest-serving speechwriter who crafted eight years of presidential addresses, reveals why narrative craft is your last defensible moat in the AI age. He breaks down the three-part framework that structured 3,000 White House speeches, explains why vulnerability beats data in investor pitches, and shares the "only you can say" principle that cuts through ChatGPT-generated sameness plaguing startup communications. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most VCs chase momentum while missing systematic market dislocations worth billions. Sean Mendy, co-founding partner at Westbound Equity Partners, built a $125M fund targeting the 97% funding gap for underrepresented founders. He didn't do this out of charity, but as alpha generation through expanded deal flow and objective evaluation frameworks. The conversation reveals how network-driven sourcing creates self-reinforcing homogeneity, why impact metrics must align with venture-scale business outcomes, and Westbound's 50% profit-sharing model that attracts values-aligned founders in competitive rounds. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most AI 'innovation' is just workflow automation disguised as intelligence. Benjamin Shapiro, founder of I Hear Everything and creator of AI-powered podcast production systems, talks with Tom Chavez about the brutal realities of building defensible AI companies versus riding the hype cycle.  Tom and Ben dissect why proprietary data virtuosity trumps LLM wrappers, how outcome-oriented AI solutions kill traditional left-to-right workflows, and why founders must quintuple their execution speed or face extinction in the compressed imagination-to-execution timeline. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most enterprises burn millions on idle GPUs while developers wait weeks for access. Haseeb Budhani, CEO of Rafay Systems, built a global GPU orchestration platform after exits at Soha Systems (acquired by Akamai) and brings deep infrastructure expertise to solving the $100B GPU waste crisis. He reveals why 93% of Fortune 500 companies achieve sub-85% GPU utilization, how sovereign AI requirements are driving hundreds of "Neo clouds" globally, and the specific multi-tenancy frameworks that transform expensive compute from sunk cost into competitive advantage. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most operators fail as investors because they can't scale their expertise beyond one-on-one advice calls. Leyla D. Seka, former Salesforce EVP who built the multi-billion dollar AppExchange ecosystem, explains how Operator Collective structures 200+ operators as LPs with carry to systematically deploy operational knowledge across portfolio companies. She reveals why she never invests in founders who think they're going public, how 30-minute operator calls save companies three months of execution time, and why the current AI gold rush mirrors the early cloud adoption cycle at Salesforce. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most payment startups treat compliance like a checkbox instead of survival strategy. Richie Serna, CEO of Finix, sold his previous payments company to Stripe and now competes directly against them, winning 60% of head-to-head deals. In this conversation with Tom Chavez, Richie breaks down why payments requires 95% feature completeness before product-market fit clicks, how to build abstraction layers that prevent vendor lock-in with legacy processors, and why focusing on non-technical power users beats pure developer experience when scaling payment infrastructure. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.