About the webinar

In traditional microelectronics design, simulation is a reactive tool. Engineers ask, “This is my design... how will it work?”

But when balancing conflicting design parameters in MEMS development, iterative trial-and-error quickly becomes a bottleneck.

Ultimately, the question engineering leaders and their teams actually want to answer is:

"What is the optimal design for my exact specifications?"

In this webinar, you'll see exactly how engineering teams are doing this using the 3 foundational pillars in Quanscient Allsolve.

--> How (1) cloud compute, (2) programmatic control, and (3) AI-agentic workflows work together to help you stop testing individual designs and start generating optimal solutions.

About our technical speakers

juha riippi (2) (1)

Juha Riippi, CEO and co-founder, has overseen the development of Quanscient’s cloud-native multiphysics platform from day one. His leadership role gives him a unique perspective on how simulation technology is evolving — and what engineering teams need to succeed next.

andrew-tweedie-bg

Dr. Andrew Tweedie, co-founder and co-CTO, has more than two decades of experience in engineering simulation. At Quanscient, his work turns visionary concepts into practical tools that solve real-world bottlenecks for engineers.

The 3 foundational pillars of optimal MEMS design

See how cloud compute, agentic AI, and physics-aware models enable moving from specifications to the absolute best design

Trusted by both industry and academia

About the webinar

Key takeaways

Who should attend?

About our technical speakers