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Episode 30: Building the Business Behind Open Source AI @ AWS San Francisco [Live]
A live panel recorded at AWS San Francisco bringing together open-source AI founders and builders from Zep AI, DataRobot, Command Prompt, Scalar Labs, StreamNative, and Omnistrate. The group moves past technical specs to share strategic and personal reflections on how open source AI teams deploy, scale, and monetize.
Special Guests
Daniel Chalef
Founder & CEO of Zep AI, building the Context Lake memory layer for AI agents.
Romi Datta
VP and Head of Product Management at DataRobot.
Joshua Drake
President and CTO of Command Prompt Inc. and a longtime PostgreSQL community leader.
Joe McCunney
CEO at Scalar Labs.
Matteo Merli
CTO at StreamNative and co-creator of Apache Pulsar.
Related Episodes
Episode 33: Open Source Survival in the Age of AI: Joshua Drake on Licensing, Governance & Monetization
Joshua Drake, President and CTO of Command Prompt with nearly 30 years in the PostgreSQL community, lays out the risks AI creates for open source: extraction without attribution, model collapse, AI-generated security holes, and legal exposure from derivative work. He argues that proof of human contribution, signed origins, and governance with humans in the loop matter more than ever, and shows how commercial open source companies can adopt AI without losing community trust.
Episode 28: Commercializing Open Source: Why Most Founders Get It Wrong
Recorded at the AWS re:Invent SaaS Summit, four open-source veterans from Percona, Couchbase, and Omnistrate break down what actually works when commercializing open source, and the expensive mistakes founders make. The panel covers open core vs. foundation models, avoiding MongoDB-style license backlash, and partnering with hyperscalers without getting 'Amazon'd'.
Episode 25: Ep 20: Future of Cloud-Native Data Services with AI and Agents
Sergey Pronin, founder of Solanica and former Percona engineer, joins the panel to discuss why the SaaS-only data model is fracturing. The conversation covers 'Dark Matter Data' trapped inside enterprises, treating databases like cattle on Kubernetes, API-driven self-service provisioning, and why donating Open Everest to the CNCF matters for license-stable infrastructure.