SandboxAQ has raised over $450 million in a Series E funding round to expand its development of large quantitative models (LQMs), which apply artificial intelligence to solve scientific and technical problems. The company, which spun out of Alphabet in 2022, has now secured more than $950 million in total funding. Its latest round includes high-profile backers such as Nvidia, Google, BNP Paribas, Horizon Kinetics, and Ray Dalio, the founder of Bridgewater Associates.
These funds will support SandboxAQ’s ongoing efforts to build AI-powered platforms designed to help businesses in areas like biopharma, chemistry, materials science, cybersecurity, and financial services. According to the company, its solutions aim to enhance predictive modeling by combining classical computing hardware with quantum mechanics-based algorithms.
BNP Paribas, one of the investors, expressed optimism about the future impact of AI in finance. Olivier Osty, head of global markets for the bank’s corporate and institutional division, said BNP Paribas is eager to work with SandboxAQ to develop innovations at the intersection of AI and quantum computing.
Chris Hume, senior director of business operations at SandboxAQ, previously emphasized that quantum mechanics plays a crucial role in understanding the physical world. He explained that the more accurately these interactions are modeled, the more effective predictive AI systems can become. This integration of quantum physics and AI is especially promising for industries where complex simulations are essential.
Founded within Alphabet in 2016, SandboxAQ became an independent company in 2022 with a focus on delivering quantum and AI software solutions to sectors such as financial services, healthcare, national security, and other data-heavy industries. The company differentiates itself by using quantum algorithms on GPUs, an approach it claims could lead to faster and more advanced computing compared to traditional AI methods.
With this latest funding, SandboxAQ is positioned to accelerate innovation in quantum-enhanced AI tools and maintain its leadership in the growing space of scientific and enterprise-grade AI applications.
