Vinci has raised $250 million in Series B funding at a $1.5 billion valuation to expand its AI-native computational platform for hardware engineering. Advent, Temasek and Xora co-led the financing. AMD Ventures and Madrona participated alongside existing investors Eclipse and Khosla Ventures and other investors.
Vinci is developing an AI-native platform intended to help hardware engineers understand how complex physical products will behave while they are still being designed.
Its core capability, Continuous Physics Reasoning, provides deterministic, solver-accurate analysis during the design process rather than requiring engineers to rely only on separate simulation checkpoints.
The platform is already being used on production engineering programs and can analyze manufacturing-scale designs ranging from hundreds of millions to more than 15 billion degrees of freedom in minutes rather than hours or days.
Continuous Physics Reasoning combines automated design understanding and preparation, agentic orchestration, a Foundation Model for Physics and GPU-native physics kernels.
Vinci said its system can operate zero-shot across new designs without customer-specific model training or fine-tuning.
The company has commercialized the technology across thermal, thermo-mechanical and convective fluid behavior, initially focusing on semiconductor engineering.
Vinci plans to use the financing to broaden the platform across additional types of physics and hardware.
Target markets extend from memory and advanced computing to vehicles, aircraft and satellites.
Over time, Vinci plans to move beyond predicting what will happen in a physical design toward helping engineers determine what should change, coordinate complex engineering constraints and ultimately generate designs from human intent.
KEY QUOTES:
“Designing advanced systems requires engineers to understand how thermal, physical and electrical behavior interact across the chip, package and board. 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.”
Brian Amick, Senior Vice President of Technology and Engineering at AMD
“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.”
Alek Ferro, Technology Investor at Advent
“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. 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.”
Karan Mehandru, Managing Director at Madrona
“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. 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.”
Dr. Hardik Kabaria, Co-Founder and CEO of Vinci
“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. 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.”
Phil Inagaki, Chief Investment Officer at Xora Innovation
