News
12.3.2025 | By Vinci
Originally published on SiliconANGLE by Maria Deutscher | December 3, 2025.
In this SiliconANGLE article, Vinci discusses its $46 million in funding and its platform for AI-powered chip simulation. The piece covers Vinci’s approach to thermal simulation, its emphasis on maintaining fidelity at challenging scales, and its early deployment across semiconductor workflows.
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The article focuses on Vinci’s $46 million financing and its work building simulation software for chip designers. It explains how simulation is used in semiconductor development, outlines Vinci’s positioning relative to conventional FEA-based workflows, and describes the company’s current focus on thermal simulation.
"Vinci empowers engineers to simulate how designs will perform in seconds instead of days, at a fraction of the compute cost."
Hardik Kabaria
SiliconANGLE describes Vinci’s platform as using a custom AI model while checking outputs against the same equations used in traditional simulation workflows. The article also notes that Vinci is focused on thermal simulation today, supports a range of device types, and has been deployed by three semiconductor manufacturers, with more than 10 others benchmarking the software against existing FEA tools.
Vinci is a frontier lab building the foundation model for the physical world. Its deterministic, solver-grounded systems make physics continuously computable inside production engineering workflows and are already running on flagship programs, shifting physics from an episodic simulation bottleneck to continuous infrastructure for design, manufacturing, and reliability decisions.
Explore related Vinci resources on thermo-mechanical simulation, deterministic physics infrastructure, and production engineering workflows.
In this Pulse 2.0 interview, Hardik Kabaria discusses the company’s origins, the technical motivation behind building a foundation model for physics, and how Vinci is working to make physics continuously computable inside engineering workflows.
In this Electronic Design article, Hardik Kabaria argues that modern hardware design is no longer limited by compute alone, but by how and when physics can be evaluated in the workflow.
In this Semiconductor Engineering article, Satish Radhakrishnan explains why episodic simulation workflows are increasingly misaligned with the pace and complexity of modern semiconductor design.
