
Pylons of Uncertainty
“For any load that deviates more than three degrees from the nominal deterministic load, the stochastic shapes perform better than the deterministic one in terms of stiffness and strain energy” The

“For any load that deviates more than three degrees from the nominal deterministic load, the stochastic shapes perform better than the deterministic one in terms of stiffness and strain energy” The

At Rafinex, we have listened to and implemented the valuable feedback from you, our users and partners through the last weeks. Thank you for that! We have rapidly iterated on

With the imminent launch of Möbius — our stochastic topology optimization software solution for engineering next-gen truly robust and resilient designs — Rafinex is ready for your hands-on trial. Following

Announcing the world’s first stochastic topology optimizer: Möbius Really excited to share the latest product updates from the team here at Rafinex. There is no need to say anything else but

The recent announcement of GitHub Copilot raised a few eyebrows in the Rafinex office. It also got us thinking: Is this really the best that we can hope for from

It’s time for another workout, so we let loose our optimizer on the tracks running one more extremely short turnaround to get the ECU (Electric Control Unit) into better shape.

Optimising for Robust Design 10-9-8-7-6-5-4-3-2-1 Our stochastic optimisation solution is getting ready for commercial product launch. Similar to SpaceX we are running close loops in our go-to-market. And so, important