• S12 Bonus: Sushma Vadlamannati, zScale
    Jun 11 2026

    Sushma Vadlamannati is originally from India, and moved to the states over 25 year ago to pursue her bachelors in at Texas Women's University. She comes from a nontraditional founder background, spending 15 years in the Fortune 100 companies, leading large programs with large budgets. About 5 years ago, she started advising startups and angel investing, which led her into the startup world. Outside of tech, she has 2 daughters and loves to do arts and crafts. In fact, she uses scrap material she finds at home to build miniature scenes and creations.

    Sushma is very familiar with the startup scene in Texas. As such, she has a keen understanding of the recurring problems for startups - the local talent pool. In addition to this, she noticed the disconnect between schools, workforce opportunities, and students/workers themselves. She decided to pivot into to building this intelligence layer.

    This is the creation story of zScale.

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    Links

    • https://zscalecapital.com/
    • https://www.linkedin.com/in/sushma-vad/


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    22 minutos
  • The AI Control Loop: AI Security is API Security - with Tim Erlin of Wallarm
    Jun 10 2026
    Today, we are kicking off a new series entitled The AI Control Loop, How enterprises govern the AI they've already deployed - sponsored by our friends at Wallarm.Wallarm is the AI Control Platform for Enterprise AI, protecting every AI workload, API, and application in production, giving CISOs the governance they need and CIOs the speed they demand. Organizations choose Wallarm for a complete inventory of APIs, AI agents, and AI apps, patented AI/ML-based threat detection and blocking that operates at production traffic speeds.Today's episode is entitled AI Security is API Security, and joining us is Tim Erlin, VP of Product Marketing at Wallarm. We discuss the foundational link between AI security and API security, digging into the role that APIs play in the dev, deployment, and operations of AI. We explore how they contribute to the risk profile of AI transformation projects, and how securing APIs is critical for successful AI transformation.QuestionsWhen people hear “AI security,” they often think first about models, prompts, or training data. Why do you argue that AI security starts with APIs?Where do you see organizations underestimating API risk as they move AI projects from pilot to production?How does the rise of AI agents change the stakes for API security compared with traditional application architectures?What are the most common API security assumptions that break down once AI systems begin taking action autonomously?Wallarm’s ThreatStats research points to APIs as a major overlap point for AI vulnerabilities and exploited vulnerabilities. What does that tell us about where attackers are likely to focus?How should security leaders think differently about authentication, authorization, and API abuse when the “user” may be an AI agent rather than a human?What is one practical step teams can take today to strengthen API security before AI adoption expands further?Once you accept that AI security depends on APIs, what do organizations actually need to discover before they can protect it?Linkshttps://www.wallarm.com/https://www.linkedin.com/in/tim-erlin/Full AbstractIn the first episode of the AI Control Loop series, Tim Erlin, VP Product at Wallarm, examines why AI security and API security are the same problem approached from different angles, and what organizations need to discover before they can protect either one.Every AI model needs data to act on. Every AI agent needs services to call. Every AI workflow needs integrations to function. The connective tissue running through all of it is APIs, which means the security posture of any AI system is inseparable from the security posture of the APIs underneath it.That link is not theoretical. APIs are already the most targeted attack surface in enterprise environments, and AI is making that problem significantly larger. Agents that act autonomously on behalf of users do not just consume APIs the way traditional applications do. They discover them, invoke them dynamically, chain them across workflows, and do all of it at a speed and scale that makes human review impractical. The authentication assumptions, rate limiting strategies, and abuse detection models that worked for human-driven API traffic were not designed for this, and the gaps are not subtle.Most organizations moving AI from pilot to production are underestimating how much of their AI risk surface is actually API risk surface. Shadow APIs that were never inventoried, overpermissioned integrations that made sense for a human user but not for an autonomous agent, authentication patterns that cannot distinguish a legitimate AI session from an abused one. Securing AI at the foundational level means answering the API question first: what APIs does the AI touch, what can it do through them, and what would an attacker be able to reach if any part of that surface were compromised.Our Sponsors:* Check out Cash App and use my code CASHAPP10 for a great deal: https://click.cash.app/ui6m/mt82fpxl #CashAppPod. Cash App is a financial services platform, not a bank. Banking services provided by Cash App’s bank partner(s). Prepaid debit cards issued by Sutton Bank, Member FDIC. See terms and conditions at https://cash.app/legal/us/en-us/card-agreement. Cash App Green, overdraft coverage, borrow, cash back offers and promotions provided by Cash App, a Block, Inc. brand. Visit http://cash.app/legal/podcast for full disclosures.* Check out Plaud AI and use my code CODESTORY for a great deal: https://plaud.aiAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy
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    17 minutos
  • S12 E22: Alex Bowcut, Sphere
    Jun 9 2026

    Alex Bowcut is from Salt Lake City, Utah originally, but has been in the Bay Area for the last 4 years. He's always been interested in computers, and was in middle school when smartphones were blooming. He took part in jailbreaking gadgets and such, and all of these things led to a natural interest in CS, mathematics - and eventually, startups. Outside of tech, he is married with 2 Australian shepherds. He and his wife enjoy hiking with the dogs, and skiing - unfortunately, without the dogs.

    Alex was approached by the founder of his current venture. He was approached while he was working at another startup, to tackle the creation of AI control and scaling within the company internally. When he joined, he immediately started changing the game in creating the initial version of their assessment model, TRAM.

    This is Alex's creation story at Sphere.

    Sponsors

    • Unblocked
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    • Mezmo
    • Braingrid.ai

    Links

    • https://www.getsphere.com/
    • https://www.linkedin.com/in/abowcut/




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    29 minutos
  • S12 Bonus: Ankit Dheendsa, Morphos AI
    Jun 4 2026

    Ankit Dheendsa is a Canadian, born and raised, living outside of Toronto today. He claims he is fortunate to have a great ecosystem of professionals and mentor sin his area, to help advise him through thick and thin. When he was younger, he was inspired to pursue building things after he watched Iron Man for the first time. Outside of tech, he is an avid boxer and kickboxer. He loves to work out and train, but when he's away from the mat, he likes to read lots of books.

    Ankit and his team quickly realized that although the advent of AI was exciting, hallucinations within LLMs area a big problem. They started to dig into how to lower and/or eliminate hallucinations, and ensure that the LLMs only hold onto the most important data. And they landed on a powerful approach to vector size reduction.

    This is the creation story of Morphos AI.

    Sponsors

    • Unblocked
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    • Mezmo
    • Braingrid.ai

    Links

    • https://www.morphos.ai/
    • https://www.linkedin.com/in/ankit-dheendsa/


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    31 minutos
  • S12 E21: Marco Benitez, ROOK
    Jun 2 2026

    Marco Benitez lives in Naples, Florida. In the past he lived in Miami, but found Naples much more family friendly. He is originally from Mexico, along with many of his family members and businesses. Outside of tech, he is married with 2 kids. As a family, they love to go outside, be outdoors and visit the great beaches around Florida. In addition, Marco is a black belt in Taekwondo, and also does Jiu Jitsu.

    Marco and his team was building a wearable in the past, centered around fitness. They figured out that the real value was around feeding data into these types of wearables. When they were approached by a company who was excited about this type of solution, they started to accelerate.

    This is the creation story of ROOK.

    Sponsors

    • Unblocked
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    • Mezmo
    • Braingrid.ai

    Links

    • https://www.tryrook.io/
    • https://www.linkedin.com/in/marcobzg/




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    25 minutos
  • Founder Chats - Daulet Amirkhanov
    May 29 2026

    Today, we are dropping another episode in our "chats" series, specifically on the founder side - hearing from those scaling the companies themselves.

    In this episode, we are talking with Daulet Amirkhanov, Founding Engineer of Bead AI. Daulet is going to take us through his years at Meta and Cognee, leading into how he is building Bead AI, to take on compliance audits and AI automation.

    Questions

    • Tell me and my audience a little bit about you. You've gone from three years on high-throughput reliability infrastructure at Meta, to engineering the GraphRAG engine and semantic memory systems at Cognee, and you're now Founding Engineer at Bead AI — an a16z-backed startup building autonomous agent infrastructure for compliance audits. How did that journey shape the way you think about engineering for the age of autonomous systems?
    • Let's zoom into the Meta years. For listeners who haven't worked at that scale — what was the exact piece of logging and reliability infrastructure you owned, what does "high-throughput" actually mean in numbers there, and what's one specific architectural decision from those years that still shapes how you build today?
    • A lot of infra engineers stay in infra. You made a deliberate move from human-scale systems at Meta to agent-scale systems at Cognee. What did you see in that moment that convinced you AI agent infrastructure was the next distributed systems frontier — and not just the current hype cycle?
    • Cognee is a GraphRAG and semantic memory company, and your work there was on the agent infrastructure side. Your biggest design call was decoupling the MCP architecture so multiple agentic systems can share unified memory through a standalone process, rather than each one coupling to its own Python runtime. Walk us through what problem that was solving and the key design decision you made.
    • Give us a concrete example: an agent task that breaks when each agent has its own vector store, but works once they share unified state through the decoupled MCP architecture you built. What's the actual mechanism that makes the difference?
    • Most engineers in this space come from an ML or applications background. You're coming at agent infrastructure from a pure distributed systems lens. What does that lens let you see that the ML-native crowd is missing?
    • Bead is a16z-backed and going after compliance audits, which isn't the obvious first market for autonomous agents. You joined as Founding Engineer in January and are shaping the technical core now. From your seat: what makes compliance audits the right wedge for agent infrastructure, and what are the foundational decisions you're making today that will define what the product can do two years from now?
    • Make a technical claim about agent infrastructure that most people in this space would push back on — and defend it. Where are you the dissenting voice?
    • Without breaking anything confidential — what's the hardest unsolved problem on your plate at Bead AI right now, and how are you approaching it?
    • Two years from now, what's the piece of agent infrastructure that we'll consider "obviously necessary" but doesn't exist yet? Who builds it, and what does it look like?

    Sponsors

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    Links

    • https://usebead.ai/
    • https://www.linkedin.com/in/amirdnur/


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    23 minutos
  • S12 Bonus: Kunal Bhatia, Hexo Labs
    May 28 2026

    Kunal Bhatia is originally from India, but moved to the Bay Area to start building his company. He admits there is quite a contrast between the two places, but originally he was from Bangalore, which is like the Silicon Valley of India - so the professional transition felt familiar. He's worked in AI For 12 years, and is on his 3rd company in the AI space. Outside of tech, he is married with a 3 year old daughter. He and his family love to go on hikes and be outdoors.

    Kunal and his team have been researching AI technologies within their current venture. In particular, they were focused on building self improving AI. Beyond that, they have started building and thinking about how to build the AI platform that builds all other technology.

    This is the creation story of Hexo Labs.

    Sponsors

    • Unblocked
    • TECH Domains
    • Mezmo
    • Braingrid.ai

    Links

    • https://hexolabs.com/
    • https://www.linkedin.com/in/kunalbhatia91/


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    22 minutos
  • S12 E20: Ofir Stein, Apono
    May 26 2026

    Ofir Stein is based in Tel Aviv, Israel, born and raised in Jerusalem. He spent many years in the Israeli air force, in infrastructure and security, before he moved to Tel Aviv. He's a tech guy through and through, bragging about his raspberry pi setup at home, which adjust the AC settings based on the temp outside. Outside of tech, he is married with a daughter and a dog. He's connected and close to his family, which he notes is how he refreshes and reloads as a founder, alongside playing tennis from time to time.

    Ofir and his cofounder started interviewing CISO's and security professionals on how they feel about access management. The found out that this was the first line of attack for bad actors, but from a business standpoint, access management is a slow to value feature. They decided to build a platform that was based on just in time access, over the slow to value setup plaguing the industry.

    This is the creation story of Apono.

    Sponsors

    • Unblocked
    • TECH Domains
    • Mezmo
    • Braingrid.ai

    Links

    • https://www.apono.io/
    • https://www.linkedin.com/in/ofir-stein/




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    25 minutos