SandboxAQ develops physics-grounded AI tools—centered on its ReAQT platform and Large Quantitative Models (LQMs)—that generate high-fidelity simulation data and predict properties of yet-to-be-synthesized materials. The company uses workflows such as AQCat and AQVolt to screen catalyst and battery chemistries with near-quantum-chemistry accuracy, and it has collaborated with NVIDIA on AQCat. SandboxAQ has published technical work in journals including Nature NPJ Computational Materials and Chemical Science. Its models are trained on the laws of physics, chemistry, and biology rather than human language, enabling virtual screening of millions of candidate materials to reduce lab trial-and-error. Following the CHIPS award, SandboxAQ plans to advance top candidates into scaled domestic manufacturing through American manufacturing partners and to invest the award funds into its platform and model enhancements.

Total raised

$1.8B

Funding rounds

4

Latest round

Equity

Latest activity

Jun 2026