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Exploring the future of AI applications, agentic architectures, and the evolution of SaaS platforms
Deep dives into agentic AI, SaaS architecture, and the future of intelligent applications
The first show of the new year as the hosts look back on a full year of conversations from the podcast. Bill Tarr, Markus Kaiser, Ermin Dzinic, Kamal Gupta, and host Michael Cooper share the most important lessons learned from founders, operators, and cloud leaders across SaaS, AI, and modern cloud platforms — and what those lessons mean heading into 2026.
A live summit event featuring two panel discussions: 'Agentic AI: Revolution, Evolution or Hype?' examining how Agentic AI is reshaping the SaaS landscape, and 'Commercializing Open Source: Paths, Tradeoffs & Lessons' exploring strategies for building sustainable businesses around open technologies.
Episode 19 examines what it means to pivot a SaaS company into an agentic architecture. HoneySales provides a real-world example: a startup that shifted from traditional sales workflows to an AI-driven, multi-agent system operating on AWS. This episode helps founders and engineering leaders understand the technical, organizational, and customer-facing implications of transitioning to Agentic SaaS.
In today's session, we're unpacking one of the most critical questions for modern AI companies: How do you actually deploy agentic applications? Join us as we break down how agentic systems will be deployed at scale, what changes SaaS companies must prepare for, and what the future of agent-driven architectures looks like.
Varun Madan, Head of Engineering at Onehouse, walks through the journey of transforming the open-source Apache Hudi project into a high-performance, enterprise-ready SaaS platform. Covers data lakehouse architecture, building SaaS offerings, and includes a live demo of real-time data ingestion.
Jaikumar Ganesha (JK), Head of Engineering at Anyscale, breaks down modern AI infrastructure challenges and how Ray (the open-source compute framework) is powering production-grade AI at scale. Covers the 'AI complexity wall,' distributed training, and includes a live demo of building a multimodal AI app.
A conversation filmed at AWS offices in San Francisco about how Anyscale empowers teams to build, scale, and operate complex ML workflows. Covers control plane architecture, the evolution of SaaS, and advice for SaaS founders adapting to the agentic future.
AI applications are evolving from simple prompt-driven tools into agentic systems — intelligent applications that can reason, act, and adapt. But as builders race to bring these apps to market, the same questions keep coming up: What should we build ourselves? What should we leverage from the ecosystem? And how do we operate these apps as a managed service at scale? In this session, our guests unpack the architectural patterns, design choices, and deployment models shaping the next wave of agentic innovation. From front-end frameworks like Vercel + Next.js, to AWS-native AI services, to control planes that automate everything between — this is a blueprint for taking your Agentic App from prototype to managed platform.
Welcome to Agentic SaaS Talks! For the past 16 episodes this series has been known as SaaS Monday, Live on Friday — our deep dives with AWS and some amazing founders and builders on how to design, build and scale great SaaS products. Today we're rebranding to reflect a massive shift in the industry: the rise of agentic systems — AI-driven software that acts autonomously, collaborates intelligently and continuously improves itself.
Tudor Golubenco – CTO of Xata and co-founder of Packetbeat joins us to explore how DBaaS for Postgres has matured, what Builders need today, and where the next wave of innovation is headed. Postgres has long been a cornerstone open-source database. What's changed dramatically is how it's delivered as a managed service (DBaaS) — from the early days of AWS RDS to today's serverless, developer-first platforms like Xata.
Exploring the future of SaaS Anywhere — how testing, virtualization, and cloud abstraction continue to move up the stack. Our guest of honor is Eli Aleyner, now Head of Technology Alliances at Docker and co-founder of AtomicJar, the team behind Testcontainers. Eli's career spans Pivotal, VMware Tanzu, AtomicJar, and now Docker, giving him a front-row seat to how infrastructure has evolved from virtualization to containerization to developer testing.
How do SaaS companies move from chaos to control? The answer: SaaS control planes — the mission control that powers scale, speed, and security across multi-tenant systems. Join the Omnistrate founders as they discuss building control planes for modern SaaS.
Joshua McKenty—legendary cloud architect, OpenStack co-founder, and now CEO of Polyguard—joins us for a no-fluff, high-impact conversation on innovating inside NASA, scaling SaaS from scratch (and from the edge), fighting synthetic identity fraud with AI, and why trust, privacy, and infrastructure are converging in 2025.
This episode explores how Generative AI is transforming application development—making it faster, more accessible, and more modular. We focus on how platforms like Origin AI are helping founders and product leaders move from idea to working application logic using natural language and structured prompts.
This episode focuses on turning SaaS growth strategy into scalable revenue using proven frameworks from subscription leaders. AWS experts and Capgemini Director discuss subscription-based growth models and strategies for SaaS businesses.
We dive into how Rox is pioneering the world's first enterprise-ready AI Agent Swarm—built to transform how revenue teams operate. Join us as we speak with Shriram Sridharan, co-founder of Rox, about his journey from scaling cloud infrastructure at Confluent and Amazon Aurora to launching a new kind of SaaS platform powered by agent-based AI.
In this episode of SaaS Mondays Live, we dive into one of the most critical—and often most challenging—aspects of SaaS growth: Pricing and Packaging. Flynn Glover (Founder & CEO of Schematic) and Akshay Patel (SaaS/AI Product Strategist at AWS) unpack proven pricing strategies, innovative packaging models, and the latest trends shaping how SaaS companies monetize.
A special Notes from a Founder edition featuring Ashwin Raman, Co-founder and CTO of Spine AI—the world's first iterative deep research platform, built for speed, scale, and substance. Ashwin shares his journey building AI research tools from the ground up.
Leaders from Checkly and Plotline share lessons on building and scaling successful Vertical SaaS businesses. We explore how these companies carved out niches, delivered deep value to specific industries, and navigated the infrastructure, product, and growth challenges that come with building vertical-first platforms.
Adam Nolte, Co-Founder & CTO of AutoBlocks.ai — the OS for AI Product Teams — shares the real-world journey of building AutoBlocks from the ground up: how the idea was born, the challenges faced while building for AI product teams, key lessons from turning vision into a launched product, and insights on the future of AI tooling and infrastructure.
The Head of Global Partnerships at Confluent discusses the transition from startup to scale-up phase. You've landed your first customers—now what? Scaling your SaaS business means more than just adding infrastructure. It means building repeatable onboarding, managing support without burning out your team, and delivering consistent experiences across multiple clouds and SaaS Deployment Models.
AWS and Omnistrate experts explore various SaaS deployment models including fully hosted, BYOC (Bring Your Own Cloud), and hybrid approaches. A candid, technical discussion on the spectrum of SaaS deployment models—from fully hosted, to Private VPC, to BYOA/BYOC. We cover architecture patterns, real-world challenges, and the native cloud services that can (or can't) help you scale.
Sridhar Adusumilli, CEO of Labra.io, discusses why Cloud Marketplaces matter for SaaS growth, the role of AWS Marketplace in SaaS success (EMEA vs USA), technical considerations for integrating SaaS with Cloud Marketplaces, and go-to-market strategies for SaaS on Cloud Marketplaces.
AWS experts discuss how AI is transforming the SaaS landscape and what it means for builders and operators. This inaugural episode explores the impact of AI on SaaS development, deployment, and operations.
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Subscribe on YouTubeAgentic SaaS Talks is a webcast series exploring the intersection of AI, SaaS, and agentic systems. We dive deep into architectural patterns, design choices, and deployment models that are shaping the next generation of intelligent applications.
Join us as we discuss topics ranging from Model Context Protocol (MCP) to data sovereignty, from frontend frameworks to backend orchestration, and from prototype to production at scale.