Threaded Miami: Pradyut Paul of Bild - introducing Meru!

What if the real bottleneck in hardware development is not design itself, but the chaos of explaining design changes to everyone else?In this episode, Pradyut Paul of Bild breaks down a problem every engineering organization knows too well: design changes happen fast, but the reasoning behind those changes usually stays trapped inside the engineer’s head. That slows down ECO reviews, drags teams into endless meetings, and turns engineers into human translators for manufacturing, supply chain, finance, and leadership. Pradyut explains how Bild is attacking that problem with Meru, its new AI agent for design change management. Meru is built to analyze CAD revisions, detect what changed, and then go a step further by explaining the design context and likely why the change happened. The goal is simple but important: make engineering change orders easier to understand, faster to review, and far less dependent on manual screenshots, annotations, and repetitive meetings. The discussion gets into what makes this interesting technically. Meru is not just looking at geometry in isolation. It combines feature recognition, revision history, commit data, and geometry relationships to build a more complete picture of change at both the part and system level. That is the difference between a basic diff tool and something that starts to behave more like an engineering reasoning layer. Pradyut also shares early customer results. According to Bild, early deployments are showing a 60% reduction in change-order cycle time, with teams saving roughly two to three meetings per change order. For hardware teams trying to move faster without burying engineers in administrative overhead, that is a serious claim. This is a conversation about where AI becomes genuinely useful in engineering: not writing fluff, but compressing decision cycles, surfacing design intent, and helping products get out the door faster.#EngineeringAI #PLM #PDM #ECO #ChangeManagement #CAD #HardwareDevelopment #DigitalThread #Manufacturing #Bild #AI #AIAcrossTheProductLifecycle