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Vinci4D Raises $250M at $1.5B Valuation for Engineering Simulation Platform

Vinci4D Inc. raised $250 million in a Series B round at a $1.5 billion valuation, led by Advent, Temasek and Xora, with AMD Ventures participating. The Palo Alto startup's AI-powered simulation platform initially targets chip thermal analysis and plans to expand to vehicles, aircraft and satellites.

The Palo Alto, California-based company is developing a namesake engineering simulation platform. Hardware engineers use simulations to find issues in their product designs. For example, a car designer might simulate fog to evaluate the impact of adverse weather on a vehicle sensor. Historically, setting up simulations required highly specialized skills and significant time, so many hardware teams used the technology only intermittently.

Vinci aims to change that by running simulations after every major change to a product blueprint. If engineers run a simulation the day after a design change instead of two weeks later, they can detect issues faster and lower product development times.

Vinci's initial focus is speeding up chip projects. The platform helps engineers simulate the thermal properties of processors, memory modules and interconnects. A chip team could, for instance, study whether a graphics card might overheat when it operates near peak frequency.

The platform is powered by a physics-focused artificial intelligence model. Developers can upload a CAD drawing of a chip, input certain related data and have the AI automatically turn it into a simulation. One of the most time-consuming tasks in simulation projects is meshing, the process of breaking a product blueprint into numerous small, three-dimensional shapes. That step is necessary because a large array of small shapes can be processed much faster than a continuous surface such as a chip. Vinci performs meshing automatically. From there, it uses custom graphics card kernels to speed up convergence, the process of finalizing simulation calculations. Kernels are the low-level software modules that make up an AI model.

A simulation's complexity can be measured in degrees of freedom, or DOFs, which are data points describing a narrow physical observation such as how well a single transistor conducts heat. Vinci says its platform can complete simulations that contain hundreds of millions of DOFs in a few minutes. Such workloads usually run for several hours or days.

"Vinci is starting by giving engineers the ability to understand physical behavior while they are still designing," said Vinci co-founder and chief executive Hardik Kabaria. "From there, we are building toward systems that can identify what should change, bring together increasingly complex engineering domains, and ultimately help engineers create what they could not create before."

Vinci also plans to extend its platform's simulation capabilities beyond chips to vehicles, aircraft and satellites.