SandboxAQ Showed Large Quantitative Models Are the Future of Enterprise AI

Artificial intelligence has transformed how industries operate, but its application often focuses on language and text processing. Beneath this spotlight, another layer of AI innovation has been emerging, aimed at solving computational and quantitative challenges that traditional models cannot address. This vision forms the foundation of SandboxAQ, a company that spun out of Alphabet in 2022 under the leadership of Jack Hidary.

Focused on Large Quantitative Models (LQMs) rather than the more widely known Large Language Models (LLMs), SandboxAQ has carved out a unique space in the AI ecosystem. LQMs excel in tackling complex problems in areas such as drug discovery, quantum-inspired computing, and GPS-free navigation. This approach has propelled the company to a $5.6 billion valuation, supported by a recent $300 million funding round led by Fred Alger Management, T. Rowe Price, and Breyer Capital.

Pivot Toward Quantitative AI

Unlike language-based models, LQMs leverage numerical data and equations to provide solutions in industries where language models fall short. This focus addresses critical needs in healthcare, financial risk management, materials science, and more.

Jack Hidary, CEO of SandboxAQ, explained, “The majority of the economy is actually not based on language. It’s actually based on quantitative relationships.” The company’s innovations reflect this understanding, enabling breakthroughs that are reshaping traditional workflows and driving efficiency.