$115 million just poured into this startup that makes engineering 1,000x faster — and Bezos, Altman, and Nvidia are all betting on its success

SowA digital engineering platform that helps companies conducts complex simulations and calculations in the cloud, announced today $ 115 million in Serial D financing Accelerate the development of an AI-power that can sharpen product design and testing.

Total capital includes the total capital of financing tour, which has total capital of more than $ 260 million Enterprises applied, There is a capital, Foxconn, Hanwha Asset Management DeepTech Venture Foundation, Hitachi businesses, NEC Future Fund, Nvidia, Prosper, SINEWAVE INSTITUTIONS, Translink capital, University of Michiganand Y combination.

San Francisco-based company, including the early support of the early supported Sam altman, Jeff bezos, Paul Grahamand Peter Thiel. This last round is aimed at providing a clever data management, intelligent data management and a new area and provide a vision to the transformation of products throughout the products and transforming the company’s call.AI Physics“

“Resept mühəndisləri və elm adamlarının yenidən qurulması üçün mühəndis və elm adamlarının hesablamalar və simülasyonu artıraraq,” Joris Poort, Resepte-nin qurucusu və CEO-nun qurucusu və CEO-nun qurucusu və CEO-nun yaradıcısı və CEO-nun qurucusu və CEO-nun quruculuğu və baş direktoru “nın yenidən qurulması missiyası ilə qurulmuşdur. “Bu günə This is what we are directed. “

Boeing’s starting from carbon fiber to $ 260 million

The origin of the company is returning to the experience of the Poort working on Boeing 787 Dreamliner More than 20 years ago. He and his co-founder Adam Mckenzie, the aircraft wing was instructed to use physics-based simulations in the complex.

“I worked with co-founder, Adam and I worked in Boeing, we used large-scale physics simulations for 787 Dreamliners,” said Poort Ventureat. “This was the first full carbon fiber trade aircraft that created important engineering problems. Many previously previously used aluminum, but the carbon fiber has different layers and variables that need to be optimized.”

The problem they encountered was the lack of sufficient calculation sources to implement the millions of calculations needed to optimize innovative carbon fiber design. “We could not get report sources. This, 20 years ago, before the cloud calculation was available,” he said. “We must download each other and connect resources from various organizations to each other.

This experience has directly headed Recepe’s Installation Mission: Set up the platform they want in these Boeing years.

“Reserve was created to build all these opportunities to build a platform for years,” he said. “We are trying to compile the best possible aircraft, but we must apply these infrastructure work to solve only engineering problems.”

How the AI ​​models make the days of calculations within a few seconds

The center of the ambitions of the ambitions “AI Physics“Using the artificial intelligence models trained according to simulation data, to accelerate the calculation engineering.

“With AI physics, you develop AI models on simulation information sets that allow you to work faster these simulations of these simulations,” he said. “AI model provides probable answers – essentially assessments – traditional physics calculations provide accurate results.”

He offered a specific example from one of Reserve’s customers: “General Motors rotorsports, they will prepare such external aerodynamics of a vehicle.

These mino layers allow engineers to explore design areas faster and test more iterations and opportunities than before.

“The really unique advantage of the AI ​​physics is that you can confirm the answers. Simply math,” said Poort stressed. “This is different from the LLMS you can encounter hallms that are difficult to confirm. Many questions are not definitive answers, but there are concrete, concrete and checkable solutions.”

Financing comes in growing enterprise investments in technologies that accelerate the development of the product. The high performance computational market has reached about $ 50 billion, reaching $ 20 billion with the simulation program and management of product life, $ 30 billion in product collection information.

What is the sale of the saleCalculate the recommended engine“In real time, it optimizes workloads in different cloud architects.

“Our unique difference is our technology called the computer engine. This allows you to optimize real-time workloads between the various architectures between all public clouds,” Port said. “We support 1,150 different apps with many versions, operating systems and hardware architecture. When combined together, it creates more than 50 million different configurations.”

Samsung, Samsung, SMSsung, SMsungerger) and the company’s enterprise (previously Schlumberger) has spent more than $ 1 billion every year to strengthen the company’s enterprise customers and virtual product development and scientific discovery environments.

Outside the simulation: AI integration for data management and modern engineering

Reserve accelerates the road map in three main areas. Initially, more than 1,250 applications and networks of more than 500 cloud data center are expanding. Second, creating unified data management and digital yarn capabilities for all computing work flows. Third, it allows you to engineering faster through the AI.

“We also have a product It is sold forAimed at creating a smart information layer, “Poort explained.” This is sometimes called digital thread. With the life life of the product – you need to track all the information, regardless of a plane, a car or life science, medical device or medicine. If an issue arises, you can look back to see when this information is created, and the information is about and related information. “

Applied materialsOne of the investors in this tour works together with Reserve to increase simulation capabilities. Instead of accelerating existing processes, the partnership offers a deeper slip in which engineering knowledge is caught and applied.

The most stakeholder of Reserve’s approach is how the transition between traditional physics simulations and AI approximations. Unlike language models that accuracy checking can be subjective, there are clear mathematical answers to engineering simulations. This verification creates a more reliable way to submit a paramount of the AI’s accuracy and reliability.

Port acknowledging a concept “Body physics model“The new physics, the AI ​​system, which can be found in a large amount of physics simulation data, which can discover new physics, is aimed at the delivery of a practical value through the company today.

“The quantum is still in trade for computing,” said Poort said that it distinguishes the approach of this technology. “The root of our AI physics approach to Reserve is aimed at resolving concrete problems, which will be able to solve the concrete problems today and solve the latest advances today and solve our customers immediately, measurable ROI.”

What silicone valley workers do in engineering simulation

Reserve has benefited from the leadership of high profile early investors. Paul GrahamThe company, who wrote the first voucher, continues to make recommendations on company culture. Sam altman Gives an idea of ​​AI and infrastructure. Jeff bezos Brings perspective from the Blue Origin venue Peter Thiel Advises to expand enterprises and operation with government customers.

“Paul Graham was the first person to believe in the company – I was the first person to believe. If you obey His essays, I speak to him regularly.” “Sam Altman has been a support since the first days. It is a valuable source to understand the latest developments in the EU incredibly intelligent intelligence, AI and even energy.

Poort also fired the participation of the Bezos: “Jeff Bezos brings an interesting perspective because of blue origin, blue origin, blue origin,” he said. “Initially, we worked with space companies as our customers where aerospace companies can use cloud computing technologies.”

He added: “Jensen has a unique ability to understand both technical elements and the future direction of technology. Long-term vision partners are super critical.

The cloud pass of engineering offers new opportunities

Like Geopolitical tensions affects industries such as semiconductors and defenseCededale places itself to help customers change the rules and supply chains. The company has prepared opportunities to work with sovereign clouds – a country belonging to the country protecting data within the national borders.

“Sovereign clouds have emerging,” he said. “Many countries develop their own cloud infrastructure for specific use. Our strategy is to provide these providers in accordance with customer choices. If a Japanese client wants to run into a Japanese cloud, for example, we can place it.”

Cream, with less than 20% of the high-performance market in the cloud, sees significant growth potential to move to the cloud environment of more engineering workflows. The company’s AI physics approach can change how the industry is developed, reducing the time and expenses of the performance, the development of the industry.

“Key ideas we can achieve better designs, better designs, we can achieve better designs,” said Boeing experience. The thing that began as a frustrating problem with limited calculation sources turned into a look because engineers can work in the future. An investment of $ 115 million, the narrowing of the cavity between the imagination and technical reality, noting in physics, not with quantum leaps, but more easily in the existing data and simulations.

And 787 Dreamliner wings starting all? “When you fly in a 787 dream book,” Poort said: “You will see a different curved wing. This has resulted in a 10 more fuel-saving aircraft.”