How a Founder Uses AI to Improve Hurricane Tracking and Risk Assessment

I sit down with Eduardo Siman, founder and CEO of Worldsphere.ai, a Miami-based company using computer vision to better understand hurricanes and improve risk assessments, insurance intelligence, and evacuation decisions.

Eddie shares how his path into AI started through enterprise software, angel investing, and an obsession with computer vision before eventually leading him into hurricanes and the mission behind Worldsphere. 

We talk about how Hurricane Andrew shaped his personal connection to this work, how AI can translate satellite imagery into hurricane wind fields, and why integrity, human oversight, and scientific rigor still matter in high-stakes AI. 

If you’re interested in AI beyond chatbots, this episode is a fascinating look at climate, risk, enterprise software, and the future of building with purpose. 

🔥 Topics We Cover:

• How Hurricane Andrew shaped Eddie’s obsession with hurricanes and weather 
• What computer vision actually is in plain English 
• How AI translates satellite imagery into hurricane wind field predictions 
• Building AI for weather tracking, insurance risk, and disaster decision-making 
• Why human oversight still matters in high-stakes AI systems 
• The rise of weather AI and what is accelerating in the field 
• Vibe coding, enterprise software, and the future of programming 
• Why resilience, mission, and deep industry understanding still matter 

Tools & Resources Mentioned in This Episode:

• Weather + Forecasting Data:
   ERA5, ECMWF, WeatherBench, satellite imagery, hurricane wind fields 
• AI + Development:
   Computer vision, Claude Code, Codex, Replit, Lovable, vibe coding 
• Business + Enterprise References:
   Flatlogic, SAP, NetSuite 
• Concepts + Examples:
   photogrammetry, 6D.ai, Pokémon Go, The Lean Startup 

Connect with Eddie:

• Worldsphere.ai 
• LinkedIn: Eduardo Siman 

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