SandboxAQ announced it will make its Large Quantitative Models (LQMs) accessible through Google Cloud’s Marketplace. Through this marketplace listing, users will be able to tap rigorous, physics-grounded scientific models directly from the conversational AI tools they already use, with no specialised code or infrastructure required.
LQMs are AI models built on real-world lab data and scientific equations, engineered for the more than $50 trillion global quantitative economy, including sectors such as biopharma, energy, advanced materials, and financial services. By offering LQMs within GCP Marketplace, SandboxAQ extends the reach of its LQMs across more channels and more large language models, while Google Cloud strengthens its capabilities in healthcare and drug discovery.
Brian Goldstein, Vice President, Strategic AI and ISV, Google Cloud, said: "Bringing SandboxAQ's Large Quantitative Models to GCP Marketplace is one of the ways we are empowering healthcare researchers to accelerate drug discovery and solve one of the most critical gaps in healthcare today.”
"Bringing our LQMs to Google Cloud’s Marketplace will put the rigour of first-principles science directly into the hands of every researcher, in the tools they already use," said Jack D. Hidary, CEO of SandboxAQ. "Pairing the reasoning of a frontier model such as Gemini with the quantitative precision of our LQMs is a powerful combination.”
The collaboration builds on SandboxAQ's broader strategy of connecting its LQMs to leading large language models, following its recent integration with Anthropic's Claude.
AQCat for Materials and Catalyst Discovery
Coming in Q3, AQCat will be SandboxAQ's first LQM available in Google Cloud’s Marketplace. It targets the most critical first step in catalyst and materials discovery, adsorption energy calculation, which is a measure of how strongly molecules bind to a catalyst surface. This allows researchers to rapidly identify and prioritize the most promising candidates before committing costly modeling and lab resources to full evaluation. AQCat delivers gold-standard accuracy at a fraction of the time and cost, unlocking materials screening at a scale that was previously out of reach.


