SandboxAQ Brings Physics-Grounded Scientific Models to Google Cloud Marketplace in Bid to Reshape Enterprise Research
SandboxAQ will make its Large Quantitative Models available through Google Cloud Marketplace, opening rigorous, physics-grounded scientific models to researchers directly from the AI tools they already work in and removing the specialised code and infrastructure that have long stood between scientific teams and computational modelling at scale. The company announced on 2 July that AQCat, a model for materials and catalyst discovery, will arrive first in the third quarter, followed by AQPotency for drug discovery in the same window.
The significance extends well beyond a single marketplace listing. Large Quantitative Models are built on real-world laboratory data and scientific equations, engineered for what SandboxAQ describes as a global quantitative economy exceeding $50 trillion across biopharma, energy, advanced materials, and financial services. Placing these models inside Google Cloud Marketplace changes their distribution logic, pushing them across more channels and more large language models at once, while handing Google Cloud a sharper capability in healthcare and drug discovery at a moment when both are contested ground among cloud providers.
Distribution, Not Just Capability, Is The Story That Matters Here
The mechanics of the deal reveal where the competitive pressure sits. Rather than selling access through a standalone product, SandboxAQ is embedding its models where researchers already spend their time, pairing the reasoning of a frontier system such as Gemini with the quantitative precision of models grounded in scientific first principles. The combination collapses the distance between a researcher's question and a defensible scientific answer, and it does so without asking research teams to build new infrastructure or learn new code.
Brian Goldstein, Vice President, Strategic AI and ISV at Google Cloud, tied the move directly to unmet need in healthcare. "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," Goldstein said. His framing situates the listing as an answer to a structural problem rather than a routine addition to a marketplace catalogue.
Jack D. Hidary, CEO of SandboxAQ, pointed to the reach the arrangement creates. "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," Hidary said. The chief executive added that pairing a frontier model's reasoning with quantitative precision produces a combination he considers uncommonly powerful, a claim that carries weight given the collaboration follows SandboxAQ's recent integration with Anthropic's Claude.
AQCat Attacks The Most Expensive First Step In Materials Screening
The choice to lead with AQCat is a statement about where early commercial traction lies. The model targets adsorption energy calculation, a measure of how strongly molecules bind to a catalyst surface and the critical first step in catalyst and materials discovery. That calculation has historically forced researchers to commit costly modelling and laboratory resources before they could tell which candidates were worth pursuing, and AQCat compresses that gate by delivering what the company terms gold-standard accuracy at a fraction of the time and cost.
The reach of catalysis explains the ambition. Catalysts underpin more than 90% of all commercially produced chemical products, with direct consequences across green hydrogen, sustainable aviation fuel, fertiliser production, and plastics recycling. By making it feasible to screen materials at a scale that was previously out of reach, AQCat aims at a chokepoint that sits upstream of some of the most pressing industrial and environmental problems, which is why the materials model rather than the pharmaceutical one leads the rollout.
AQPotency Enters A Drug Discovery Market Measured In The Hundreds Of Billions
AQPotency follows into the same marketplace in the third quarter, and the market it addresses is substantial. The model lets researchers computationally identify and prioritise the most promising binders at high throughput, evaluating thousands of candidates in a fraction of the time and cost demanded by traditional screening. Binders are molecules that attach to a specific biological target such as a disease-related protein, and identifying those that bind tightly and selectively is the foundation on which any safe and effective drug is designed.
The stakes are considerable. The global drug discovery market was valued at roughly $112 Billion in 2025 and is projected to reach about $187 Billion by 2034, according to Straits Research. Bringing frontier, physics-grounded drug discovery capability into a tool that millions already rely on deepens Google Cloud Marketplace's relevance for pharmaceutical and biotech research teams, and it positions SandboxAQ against the incumbent screening methods that have defined early-stage discovery for decades. The broader pattern is one of a specialist scientific modelling company distributing through the largest possible surface, and Google Cloud acquiring depth in a vertical where cloud providers are competing hardest.
