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⚙️ 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
“Beyond Words: Applying AI in the Physical World” at the #CTISymposium in Berlin will introduce a new breed of AI – Industrial AI – not just an administrative tool, but engineering-grade technology delivering real-world results. Discover how this approach helped cut almost 20% of the BOM cost on an electric motor designed for next-generation EVs, with zero loss of performance and completed in just 3 days! Simon Shepherd will be speaking on Wednesday 3rd December at 11:15 in Deep Dive Session L, and several of us from Monumo will also be at the event if you’d like to learn more. 👇 Link to the event in the comments. We look forward to seeing you there!
Many EV teams are still optimising components in isolation. But the real savings only appear when you model the whole system. In our latest article, we explore why system-level design is becoming one of the biggest untapped levers for cost, efficiency and time-to-market in EV development – and why start-ups are using it to outpace larger incumbents. If you work in EV powertrain, this one’s worth a read 👇 #SystemLevelMotorDesign #OptimisedSystemDesign #XIn1

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