Episode Overview
How does a non-industry outsider end up digitizing one of the world's oldest and most dangerous heavy industries? Ravi Sahu, founder of Strayos, joins the podcast to explain how he transitioned from a 12-year career in telecom software engineering into building an industry-leading AI platform for mining and quarrying. By deploying drone computer vision, 3D digital twins, and edge AI, Strayos helps site operators optimize drilling, blasting, and material extraction while significantly cutting operational risks.
In this episode, Ravi details the exact playbook for scaling enterprise deep tech in conservative, high-risk sectors where a single operational delay costs millions. He breaks down why building field-first tools for site workers succeeds over complex engineering software, how bridging data silos between mine and mill unlocks massive profitability, and how AI can solve the acute talent shortage in heavy industry.
"This episode dives deep into the real strategies behind building something meaningful — no fluff, just actionable insights from someone who's been in the trenches."
Key Insights
Hardware operators, deep tech founders, and enterprise software leaders will gain rare, pragmatic lessons on commercializing AI where physical risk meets computer science..
Key Takeaways for Founders
1. Focus on the fundamentals. The strategies discussed in this episode aren't shortcuts — they're the foundational principles that separate successful founders from everyone else.
2. Distribution matters as much as product. Building something great isn't enough. How you get it into people's hands determines whether your company thrives or dies.
3. Non-obvious backgrounds create unique advantages. The most interesting founders often come from unexpected places — and that's exactly what gives them their edge.
4. Speed compounds. Moving fast isn't about being reckless — it's about learning faster than your competition.
