The 3 foundational pillars of optimal MEMS design
See how cloud compute, programmatic control, and AI-agentic workflows enable moving from specifications to the absolute best design
Apr 30, 2026
3 pm GMT, 10 am US East · 60 minutes
Juha Riippi CEO & Co-founder · Quanscient | Dr. Andrew Tweedie Co-CTO & Co-founder · Quanscient
Trusted by both industry and academia








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.
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.
Key takeaways
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Learn the 3 foundational pillars and how they work in practice to replace manual testing with automated, spec-driven engineering
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See an end-to-end MEMS demonstration showcasing how to quantify uncertainty, predict yield, and account for manufacturing tolerances
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Discover how to navigate massive design spaces in minutes to balance conflicting requirements and move beyond the “good enough” solution
Who should attend?
This webinar is ideal for R&D leaders and engineers working with the design and simulation of advanced microelectronics and MEMS.
About our technical speakers
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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.

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.