Latest at Monumo

⏱ Validation is expensive – so why are we still validating designs that are nowhere near production-ready? Anyone in electric motor design knows this:
every validation step burns time and budget. Which, in our experience, means two things matter most: 1️⃣ Validate as early as possible 2️⃣ Validate designs already close to production Because this is difficult to achieve... a huge amount of effort and budget still goes into validating early concept designs. And that is where industrial AI can change the game. Instead of a long chain of concepting, simulating and prototyping… We can compress concept architecture, system performance, cost optimisation and DFM into one automated leap. So when validation starts, engineers are testing designs that are: 🧩 architecturally right ⚙️ performance-optimised 💸 cost-optimised 🏭 built for manufacture We’d love to hear from engineers and designers in motors, robotics and deep-tech 👇
 Where do you see the biggest opportunity – architecture, cost, manufacturability or development speed? #IndustrialAI #ElectricMotorDesign #EngineeringInnovation

Industrial AI is where Britain should place its bets... Here's a link to our chairman, Martin Frost's, latest thoughts on where investment in AI makes most sense, as featured in FT Adviser: https://lnkd.in/erjZ-Q5R #industrialAI #AIEnginerring #DeeptTech

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