EP 221 - From Research to Real-World Impact: Barzan Mozafari’s Journey with Keebo.ai
Description
In this episode, we spoke with Barzan Mozafari, CEO and Co-founder of Keebo.ai, about how AI is transforming the economics of cloud data warehouse management. Barzan shared his journey from academic research to launching Keebo, and how his team is redefining performance optimization in enterprise data systems through AI-powered “data learning.” We explored the value of automating infrastructure decisions, and why buying—not building—is the future for data teams under pressure.
Key Insights:
• Data learning: Keebo introduces a new paradigm that learns from metadata to automate and accelerate database tuning and optimization.
• Plug-and-play value: No code rewrites, no data migration. Setup takes just 30 minutes.
• Cost-driven AI: Automatically adjusts cloud warehouse configurations in real time.
• Privacy-first design: Models run solely on metadata, with no access to sensitive data or queries.
• Aligned incentives: Keebo charges based on savings delivered, creating a no-risk, ROI-driven adoption model.
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