Google Cloud has added SandboxAQ’s large quantitative models , or LQMs, to Google Cloud Marketplace. That gives enterprise teams and research groups a simpler way to buy and use specialist software for drug discovery, materials science, and semiconductor manufacturing.
SandboxAQ’s models aren’t built the way language-first systems are. They learn from equations, numerical datasets, and lab measurements. On Google Cloud, customers can use Google’s Gemini models for prompting and reasoning, then hand off the quantitative work to SandboxAQ for predictions on molecular properties, catalysts, and drug candidates. The first Marketplace listings are AQCat and AQPotency.
For anyone running regulated research workflows, this matters. It moves Google Cloud, Microsoft Azure, and Amazon Web Services beyond general-purpose chat tools and closer to narrower systems that can produce dependable results in the real world. It also gives Google a quicker way to win over pharma, advanced materials, and chipmaking customers without having to build every model internally. And it lines up with Google’s broader Gemini for Science push, which already includes the co-scientist tool, AlphaEvolve, an empirical research assistant, and NotebookLM. The timing makes sense: drug discovery by itself was worth about $112 billion in 2025, and projections put it at roughly $187 billion by 2034.
You can get the models through Google Cloud Marketplace on Google Cloud.
Author: Alyssa Lavinia Dellosa
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