Vinci4D pitches physics-based AI models for chip design after $250M Series B
Vinci4D is using pretrained physics models to speed semiconductor simulation and analyze multiple physical phenomena at once, according to an interview at SEMICON West. The startup recently raised $250 million at a $1.5 billion valuation and plans to expand into automotive and aerospace.
Karthik Aravamudhan, global client director at Vinci4D, told theCUBE’s Christophe Bertrand that the semiconductor industry’s move toward agentic AI and workflow automation will generate more simulations and analysis. “Vinci is changing how design and analysis is being done from the ground up,” Aravamudhan said. “The whole industry is talking about agentic AI and how the workflow automation, the orchestration, happens. That means more simulations, more analysis, a lot more that needs to happen under the hood. Vinci is trying to attack that problem.”
Vinci4D provides simulation software for chip designers. Instead of relying on finite element analysis, a technique engineers use to study the physical behavior of objects, Vinci4D uses pretrained physics models to speed up simulations and examine several physical effects simultaneously. The company trains its models on physics equations rather than customer data, which it says reduces the need to expose proprietary design information during model training.
Aravamudhan said physics foundation models could play a growing role in semiconductor engineering. He pointed to a strategic shift from Design Technology Co-Optimization to System Technology Co-Optimization, which treats chip design as one part of a larger system. “[Vinci] fundamentally tries to solve the problem from the foundational physics level,” he said. “When you’re designing, you’re trying to understand what the package looks like. While you’re designing the package, you’re trying to understand what the board looks like. So, you’re designing a whole system; you’re not just designing one portion of it anymore.”
Aravamudhan described the simulation burden facing semiconductor customers, who typically solve for one type of physics at a time, whether thermal, mechanical or another area. He said that approach is slow because it has been the only known way to work. “What Vinci tries to do with these foundational physics models is try to solve these physics true to what it is and to solve multiple of these at the same time,” he said.
Vinci4D recently closed a $250 million Series B funding round at a $1.5 billion valuation. The round was co-led by Advent International, Temasek and Xora. The startup plans to expand beyond semiconductors into other hardware industries, including automotive and aerospace applications. “The funding gives us … the foundation to go after bigger [things],” Aravamudhan said. “From the different physics that we can solve, from having a go-to-market team and a go-to-market approach, it gives us so many different dimensions we can start focusing on. With these big names backing us, it certainly helps a lot and it shows their belief not only in Vinci, but their belief in the technology.”
The interview was part of SiliconANGLE’s and theCUBE’s coverage of SEMICON West. TheCUBE is a paid media partner for the SEMICON West event, and neither Vinci nor other sponsors have editorial control over content on theCUBE or SiliconANGLE, according to the disclosure.