Latest at Monumo

👀 Where does your team lose the most time in the development loop? And if you could reclaim even 10%, what would you innovate next? ⚡ When up to 50% of electric motor design R&D time goes into validation & testing new hardware how much time is really left for product innovation? Chinese electric vehicle OEMs (such as BYD and NIO) can launch new models in about 24 months, compared with up to 45 months for traditional automakers. That’s a lost generation in EV powertrain development roughly every decade… 🕒 For Western manufacturers, this gap isn’t just a challenge to their ability to respond to a rapidly evolving and shifting market – it also risks squeezing out all product innovation and competitiveness. Industrial AI and physics-based simulation tools are already enabling teams to slash design cycles - generating cost-optimal designs in a few days that can be manufactured from series production methods. What else would it take to remove a design cycle without adding product risk? #EVPowertrainDevelopment #ReducedDevelopmentCycles #AIEngineering #DeepTechEngineering

How do we use AI to crack the toughest engineering and energy problems on the planet? Monumo CEO, Dominic Vergine, digs into the answer with Lindsay Hooper and Marc Kahn on Cambridge Institute for Sustainability Leadership (CISL)’s latest podcast episode. Streaming links are in the comments. Let us know your thoughts 👇

⚙️ Can you really trust AI to help design your next electric motor? The technology is already everywhere in automotive. Research from MarketsandMarkets™ projects the automotive AI business will hit $38B by 2030. And other sources expect automotive simulation software to reach ~$13.9B by the same time. Yet accuracy remains the biggest question we hear when it comes to AI in electric motor design. But that might be because when most people hear “AI”, they’re thinking about Generative AI – tools that predict text, code or images.
 In engineering, we’re talking about something far more precise… 🧠 Industrial AI can: * Simulate and evaluate a million complete motor design variations a day - fully and accurately calculated * Find optimal solutions * Significantly reduce development cycles and cut costs 👀 Where do you see the biggest opportunities – or limits – for Industrial AI in engineering?
 Let us know below 👇 #EVPowertrainDevelopment #ReducedDevelopmentCycles #DeepTechEngineering