SandboxAQ has announced that its Large Quantitative Models (LQMs) will be made available through Google Cloud Marketplace, expanding access to advanced scientific AI models for researchers and enterprises across industries. The move will allow users to access physics-based AI capabilities directly through familiar conversational AI tools without requiring specialized coding expertise or infrastructure.
The collaboration marks a significant step in the adoption of AI-driven scientific research, particularly in sectors such as pharmaceuticals, advanced materials, energy, and financial services. By integrating its LQMs with Google Cloud Marketplace, SandboxAQ aims to bring scientific rigor and quantitative analysis into mainstream enterprise workflows while strengthening Google Cloud’s capabilities in healthcare and drug discovery.
“Bringing our Large Quantitative Models to Google Cloud Marketplace will put the rigor of first-principles science directly into the hands of every researcher, in the tools they already use,” said Jack D. Hidary, CEO of SandboxAQ.
Unlike traditional large language models, SandboxAQ’s LQMs are built using real-world laboratory data and scientific equations, enabling them to solve highly complex quantitative problems. The models are designed to support what the company describes as the more than $50 trillion global quantitative economy, where scientific precision and predictive analytics play a critical role in innovation.
Google Cloud executives highlighted the importance of the collaboration in advancing healthcare research. The partnership is expected to help researchers accelerate drug discovery efforts and address long-standing challenges in identifying promising therapeutic candidates faster and more efficiently.
The first model to be made available through Google Cloud Marketplace will be AQCat, scheduled for release in the third quarter of 2026. AQCat is designed for materials and catalyst discovery, helping scientists calculate adsorption energy—a key measure of how molecules interact with catalyst surfaces. By rapidly identifying the most promising candidates before lab testing, the model can significantly reduce the time and cost associated with developing new materials and industrial catalysts.
Catalyst innovation remains central to numerous industries, including green hydrogen production, sustainable aviation fuels, fertilizer manufacturing, and plastics recycling. By enabling high-accuracy screening at scale, AQCat aims to accelerate research and commercialization efforts in these sectors.
Following AQCat, SandboxAQ plans to introduce AQPotency, a model focused on drug discovery. Also expected in the third quarter of 2026, AQPotency will help researchers identify and prioritize molecular binders—compounds capable of attaching to disease-related proteins. This capability is fundamental to the development of safe and effective medicines.
The platform will enable pharmaceutical and biotechnology teams to evaluate thousands of potential drug candidates at a fraction of the time and cost required by traditional screening methods. As the global drug discovery market continues to grow, AI-powered scientific tools are increasingly viewed as critical enablers of faster and more efficient R&D.
The Google Cloud Marketplace listing builds on SandboxAQ’s broader strategy of integrating its quantitative AI capabilities with leading AI ecosystems. Following recent collaborations with major AI platforms, the move is expected to broaden access to advanced scientific modeling tools and accelerate innovation across research-intensive industries.
By combining conversational AI interfaces with scientifically grounded quantitative models, SandboxAQ and Google Cloud aim to empower researchers to make faster, data-driven discoveries while reducing barriers to adopting advanced computational science.
