SandboxAQ Accelerates Fortune 500 Catalyst Discovery with AQCat, Now Generally Available in AWS Marketplace
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By turning a capability once reserved for specialized computational teams into a self-service product on Amazon SageMaker, SandboxAQ extends its Large Quantitative Models into a market that underpins the majority of the world's manufactured goods PALO ALTO, Calif., Aug. 25, 2026 /PRNewswire/ -- SandboxAQ today announced that AQCat, its Large Quantitative Model (LQM) for catalyst discovery, is now generally available in AWS Marketplace and deployable through Amazon SageMaker. The release makes one of the company's most commercially significant scientific tools available on demand to materials innovators, industrial giants, and discovery teams, who can now run it directly inside their own AWS environment, with no specialized computational scientists or custom code required. Catalysts are the hidden engine of the physical economy. They are essential to the production of more than 80% of all manufactured goods and over 90% of all commercially produced chemicals, from fertilizer and fuel to fabric, glass, and plastics. Yet the process of discovering better catalysts has remained slow and costly, with conventional laboratory methods typically able to evaluate fewer than 100 candidates per week, a pace that confines most innovation to incremental improvements on existing materials. AQCat removes that bottleneck. Trained on 13.5 million high-fidelity quantum chemistry calculations...
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