Google Cloud is set to add SandboxAQ’s “large quantitative models” to its cloud marketplace, according to multiple reports. The models are designed for science workflows that rely on quantitative information, such as scientific equations and laboratory or experimental data. The approach is positioned as a complement to Google’s existing Gemini large language models, pairing Gemini’s language capabilities with AI systems trained to work with numerical and scientific inputs. Unlike general large language models that are primarily optimized for generating and understanding text, large quantitative models are trained on numerical data to support tasks in fields including chemistry, biology, and physics. The reports describe the move as targeted to researchers and developers who need more reliable handling of quantitative relationships rather than word-focused responses. Together, the sources indicate that Google is expanding its AI offerings for scientific research on its cloud platform by bringing SandboxAQ’s specialized models into the marketplace and enabling combinations with Gemini.