🔥 STOP SCROLLING! The AI HYPE is OVER. Welcome to the Industrial AI REVOLUTION. 🔥
The "AI Across the Product Lifecycle" podcast cuts through the noise, bringing you unfiltered insights directly from the founders of the hottest startups transforming engineering and manufacturing.
Are you worried about AI taking your job, or just tired of hearing about "Vibe Coding"? We dive deep into the real challenges of applying probabilistic AI in a deterministic, safety-first industry.
🎧 Listen now as we uncover the secrets to 10X engineering productivity:
Hear directly from the CEOs of cutting-edge companies like Leo AI, OpenBOM, Duro, First Resonance, Synera, Authentise, and Quanscient about the breakthroughs changing the game:
- The LMM is HERE: Leo AI built the world's first Large Mechanical Model (LMM), trained on hundreds of millions of machine parts (not Reddit!) to eliminate hallucinations and redesign parts instantly.
- Quantum Leap in Simulation: Quanscient is solving multi-physics (CFD) problems using novel hybrid classical/quantum methods, achieving massive simulation throughput to validate designs faster than ever.
- Ending Industrial Amnesia: InUse fights retirement waves by using AI to capitalize and reuse field service knowledge, turning machine data into actionable wisdom (Servitization).
- 2D to 3D Automation: SP3D automates the reconstruction of 3D models from complex 2D technical drawings, solving a "huge pain point" in industrial digitization.
- The Agentic Future: We dissect the power of Model Context Protocol (MCP), calling it the "USBC for AI," which allows specialized agents to collaborate and accelerate workflows across the entire PLM lifecycle.
Forget the fantasy of "Vibe Coding." We discuss how AI is really being used by developers and engineers:
- AI as an Accelerator: Development teams at startups like Duro and InUse use tools like Cursor and Claude to accelerate code development, brainstorming, testing, and dramatically increase output.
- The Need for Trust: Industrial applications demand "determinism and explainability". Solutions must rely on trusted data, such as a company's internal knowledge graph, not anonymous web content.
- Augment, Not Replace: AI's biggest role is augmenting human capacity, taking away "manual grunt work" (like report generation, anomaly detection, and material data entry) to let engineers focus on creativity.
AI isn't stealing jobs; it's demanding new skills. Experts advise younger listeners to embrace these tools and "turn up with real energy every day," focusing on adaptability and learning how to prompt, guide, and criticize AI output.
Don't get left behind. Hear the blueprint for the AI factory of the future.
➡️ SUBSCRIBE NOW to AI Across the Product Lifecycle!
Feat. Dr. Bob Engels (Capgemini Engineering), Michael Corr (Duro), Maor Farid (Leo AI), Laurent Couilland (InUse), and more!
🚀 MEET THE INNOVATORS🛠️ THE REALITY OF ENGINEERING AI💡 ADVICE FOR THE FUTURE ENGINEER
