In this episode of Hardware Startups with Fexingo, Lucas and Luna explore why sensor fusion—combining data from multiple sensors—is becoming a critical strategy for hardware startups in 2026. They break down a concrete example: a robotics startup that cut its bill of materials by 20 percent by replacing an expensive lidar with a fusion of cameras and inertial sensors. They discuss the trade-offs between cost, reliability, and complexity, and why sensor fusion is not just a technical choice but a business decision. The conversation covers practical implementation challenges, such as calibration and power management, and how startups can use modular design to stay flexible. They also touch on the role of edge AI chips in making sensor fusion viable for low-power devices. Perfect for founders, engineers, and anyone curious about how smart hardware actually works. No prior engineering degree required, just a healthy interest in what it takes to bring a physical product to life.