Validated by early deployments at leading semiconductor companies, Vinci’s physics-based AI software operates up to 1000x faster than conventional simulation tools, at higher accuracy, and without training on customer data
PALO ALTO, Calif., (December 2, 2025) – Vinci, the pioneer of physics-based AI for hardware design and simulation, emerged from stealth today and announced $46M in total funding, with its Series A led by Xora Innovation and its Seed round led by Eclipse. The company has unveiled a foundation model for physics that operates like a team of hardware engineers, running thousands of verified simulations in hours, not weeks. Vinci delivers the accuracy levels that engineers require with the scale and automation that will be needed for the next decade of hardware design.
Hardik Kabaria, Vinci’s founder and CEO, is a leading expert in computational geometry whose doctoral work at Stanford addressed one of the hardest problems in simulation: automating high-fidelity meshing for complex, real-world geometries. Co-founder Sarah Osentoski is a pioneer in large-scale machine learning and autonomous systems. They have assembled an engineering team that combines industry veterans with leading researchers, all working to unite two rarely connected domains: physics-based simulation and production-grade AI.
Accelerating workflows and preserving accuracy
Rising system complexity in areas such as advanced chip packaging and 2.5D/3D IC is pushing traditional FEA-based simulation tools beyond their limits in speed, resolution, and accuracy. Traditional simulation workflows are slow, often break on full manufacturing-resolution geometry, and depend on scarce domain specialists. Vinci provides a solution to all of these problems.
“At Vinci our goal is to let any engineer see how their design will perform once built,” said Kabaria, “Vinci empowers engineers to simulate how designs will perform in seconds instead of days, at a fraction of the compute cost. On next-generation geometries that conventional tools must simplify, such as nanometer-scale components on centimeter-scale dies, Vinci maintains full-fidelity accuracy.”
Vinci’s foundation model combines proven physics with an AI solver to deliver simulations up to 1,000x faster, without meshing, without hallucinations, and with guaranteed accuracy. The system is already deployed, powering next-generation design programs at three leading semiconductor manufacturers. It is pre-trained, operates securely behind customer firewalls, requires no training on proprietary data, and produces verified results immediately upon deployment.
In addition to these first deployments, more than ten semiconductor companies have independently benchmarked Vinci’s results against their traditional FEA solvers and experimental data. In every case, Vinci’s simulations matched or exceeded the accuracy of established methods, and in several instances closely correlated with experimental measurements, while delivering results in a fraction of the time.
“Few teams combine deep physics expertise with the ability to ship real, production-ready software,” said Charly Mwangi, Partner at Eclipse. “Vinci’s technology is already demonstrating value in the field, accelerating workflows and delivering accuracy that engineers can trust.”
“Vinci has demonstrated lightning-fast, high-accuracy simulations without requiring customer data for some of the world’s most complex physical devices, including state-of-the-art semiconductor packages,” said Phil Inagaki, Managing Partner & Chief Investment Officer at Xora. “Soon, we believe that Vinci’s platform will deliver not only simulation, but also co-design capabilities across a broad range of physics and hardware products, which will result in a radical expansion of what has been traditionally viewed as the EDA market.”
About Vinci
Vinci brings physics-accurate design and simulation to the desk of any hardware engineer, at full resolution and up to 1000x faster than legacy tools, without IP risk. Its purpose-built foundation model for the physical world brings to physics what LLMs brought to language by integrating physics, geometry and high-performance computing, providing guaranteed-accurate results in seconds instead of days. The system is production-ready out of the box and requires no training or customer data to achieve full accuracy. Validated by over half of the world’s top 20 semiconductor companies, Vinci unites AI acceleration with proven physics methods to match, and often exceed the accuracy of traditional FEA solvers, in a fraction of the time and compute cost. Founded in 2023 and headquartered in Silicon Valley, Vinci is backed by Xora, Khosla Ventures, and Eclipse.
