Vinci raises $250M Series B at $1.5B valuation to build the intelligence infrastructure for a new era of hardware engineering

• Co-led by Advent, Temasek and Xora, with participation from AMD Ventures, Eclipse, Khosla Ventures, Madrona and other strategic industry leaders, the financing will accelerate Vinci's mission to dramatically shorten the distance between what engineers can imagine and what they can build.

Palo Alto, Calif. - [October 6, 2026] - Vinci today announced a $250 million Series B co-led by Advent, Temasek and Xora, with participation from AMD Ventures, Eclipse, Khosla Ventures, Madrona and others, valuing the company at $1.5 billion. Vinci is building an AI-native computational platform designed to fundamentally expand what hardware engineers can create. Beginning with Continuous Physics Reasoning-the ability to understand how complex products will actually behave while they are still being designed-Vinci is building toward a future where engineers can explore vastly more possibilities, identify better designs and ultimately create products beyond the practical reach of today's engineering tools. The new capital will accelerate that vision as Vinci expands from its initial success in semiconductor physics across more physical phenomena, engineering disciplines and hardware industries.

For centuries, human imagination has run ahead of our ability to engineer what we imagine. Turning an idea into a working physical product requires navigating enormous design spaces, understanding interactions across increasingly complex systems, and finding solutions within the constraints of physics, materials, manufacturing and technology. As products become more complex, those challenges compound. Vinci's long-term ambition is to systematically remove these barriers-compressing the time, computation and specialized expertise required to turn an idea into physical reality.

Continuous physics reasoning: understanding while designing

Vinci's core product capability, Continuous Physics Reasoning, gives engineers deterministic, solver-accurate understanding of how a product will behave while it is still being designed, rather than waiting for isolated simulation checkpoints. Already running on production engineering programs, the platform analyzes manufacturing-scale designs ranging from hundreds of millions to more than 15 billion degrees of freedom in minutes rather than hours or days.

"Designing advanced systems requires engineers to understand how thermal, physical and electrical behavior interact across the chip, package and board," said Brian Amick, senior vice president of technology and engineering, AMD. "By bringing fast, accurate simulation into the design process, teams can evaluate tradeoffs earlier, iterate more quickly and make better architectural decisions while there is still time to act. We're excited to support Vinci as it helps bring these capabilities to engineering teams."

Continuous Physics Reasoning is powered by a fundamentally new computational architecture combining automated design understanding and preparation, agentic orchestration, a Foundation Model for Physics and GPU-native physics kernels. Unlike surrogate models that must be trained or tuned for specific designs, geometries or problem classes, Vinci operates zero-shot across new designs without customer-specific training or fine-tuning. The result is deterministic, solver-accurate physics at manufacturing resolution and engineering speed.

Vinci has already commercialized Continuous Physics Reasoning across thermal, thermo-mechanical and convective fluid behavior, beginning in semiconductors-one of the most physically demanding engineering environments in the world. At this speed and scale, engineers can use physics differently: exploring vastly more possibilities, investigating tradeoffs and understanding physical consequences while they can still influence the design.

Expanding across physics and engineering

The $250 million financing will accelerate Vinci along two dimensions. Across physics, Vinci will expand from thermal, thermo-mechanical and convective fluid capabilities toward broad physical coverage across hardware systems-from memory and advanced computing to vehicles, aircraft and satellites. Across engineering, Vinci will move from understanding what will happen toward helping engineers determine what should change, orchestrate increasingly complex systems and constraints, and ultimately create new designs from human intent.

Semiconductors are Vinci's first proving ground, not its destination. The same challenge exists wherever increasingly complex physical products must be designed across multiple physics, engineering disciplines, suppliers and organizations. Vinci's long-term ambition is to bring an increasing share of that accumulated engineering intelligence into a single AI-native system.

The financing brings together investors with deep experience across technology, AI, semiconductors, industrial transformation and long-term infrastructure investment. Advent, Temasek and Xora co-led the round, with participation from AMD Ventures, Madrona, existing investors including Eclipse and Khosla Ventures, and others. The opportunity extends far beyond making today's engineering analysis faster. As Vinci expands across physics and advances toward increasingly capable engineering intelligence, the company believes it can dramatically reduce the constraints between human intent and a physically realizable product. The goal is not simply to help engineers build today's products faster. It is to expand what humanity is capable of building at all.

About Vinci

Vinci is building the intelligence infrastructure for a new era of hardware engineering. Its AI-native computational platform begins with Continuous Physics Reasoning, giving engineers deterministic, solver-accurate understanding of how complex products will physically behave while they are still being designed. Vinci automates the traditionally specialist-driven work required to prepare and investigate engineering designs and combines a Foundation Model for Physics with GPU-native physics kernels to deliver physical understanding at manufacturing resolution and engineering speed.

Already deployed on flagship production engineering programs, Vinci enables engineers to explore more alternatives, identify better designs and expose physical risk while designs are still inexpensive to change. Over time, Vinci is expanding across more physical phenomena and toward increasingly capable engineering intelligence-helping engineers move from understanding what will happen to determining what should change and ultimately creating increasingly complex physical products.

Learn more at getvinci.ai.

Vinci Series B | Supporting quotes

Alek Ferro, Technology Investor, Advent
"The complexity of the physical systems the world is building is increasing dramatically, while the computational infrastructure engineers use to understand those systems has not kept pace. Vinci has developed a fundamentally new approach to this problem and has already demonstrated it in some of the world's most demanding engineering environments. We believe Vinci has the potential to become a foundational technology for a new era of hardware engineering," said Alek Ferro of Advent.

Karan Mehandru, Managing Director, Madrona
"Physics defines the system of truth for the world we live and build in, and its laws dictate almost everything we build. Yet, hardware engineers have been forced to treat simulation as a scarce resource, with every answer costing hours of compute, days of waiting, and a specialist's time. Vinci unshackles the creators from that bottleneck by making physical understanding continuous and almost instantaneous," said Karan Mehandru, managing director at Madrona. "Hardik and the Vinci team have proven that when design and experimentation are tightly coupled with answers grounded in the laws of physics, we not only enable physical designers to operate at the speed of thought, but also unleash a new high-water mark of productivity across the entire supply chain of hardware design."

Hardik Kabaria, Co-founder and CEO, Vinci
"Leonardo da Vinci imagined the airscrew more than four centuries before the first practical helicopter could be built. The idea existed; the engineering capability to realize it did not," said Dr. Hardik Kabaria, co-founder and CEO of Vinci. "That gap still exists throughout engineering today. Our ambition is to compress it. Vinci is starting by giving engineers the ability to understand physical behavior while they are still designing. 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. Continuous Physics Reasoning is where that journey begins."

Phil Inagaki, Chief Investment Officer, Xora Innovation
"We backed Vinci on the conviction that embedding intelligence directly into the physics of engineering could fundamentally expand what engineers are able to design and build. Vinci has now turned that thesis into a production platform operating in some of the world's most demanding engineering environments. By making solver-accurate physics continuous in the design process, Vinci lets engineers explore far more possibilities and pursue designs that would previously have been too costly, slow, or complex to evaluate," said Phil Inagaki, Chief Investment Officer at Xora Innovation. "As Vinci expands across physics and engineering disciplines, it is becoming the foundational intelligence layer for the physical world - shortening design cycles, avoiding costly downstream failures, and bringing more ambitious, higher-performing products to market faster."