Google has partnered with SandboxAQ to make advanced scientific AI models available through Google Cloud, allowing researchers and pharmaceutical companies to accelerate drug discovery and materials design. Starting now, two specialized AI tools called AQCat and AQPotency will be accessible via the Google Cloud Marketplace, marking a significant shift in how computational chemistry research gets distributed to the broader scientific community.

What Makes These AI Models Different from ChatGPT?

Unlike general-purpose language models such as Gemini, which are trained on text, SandboxAQ develops what are called Large Quantitative Models. These AI systems are trained on numerical data, scientific equations, and laboratory results, making them specifically designed for chemistry, biology, and physics applications. Think of it this way: while ChatGPT learns patterns in language, these models learn patterns in molecular behavior and chemical reactions.

The partnership allows researchers to combine Gemini's language capabilities with SandboxAQ's quantitative models, creating hybrid workflows that leverage both text understanding and numerical analysis. This integration could help scientists ask complex questions about molecular design and get answers grounded in actual chemistry.

Which AI Tools Are Available Now, and What Do They Do?

Two models are launching on the Google Cloud Marketplace. The first, AQCat, is designed to identify promising catalysts and materials for semiconductors, batteries, and other technologies. The second, AQPotency, focuses on drug development by predicting which molecules have a high probability of binding to protein targets, a critical early step in bringing new medicines to market.

SandboxAQ is already working with clients studying serious diseases. The company noted that its models are being used to research glioblastoma, prostate cancer, Alzheimer's disease, Parkinson's disease, and cardiovascular conditions. These real-world applications demonstrate that the technology is moving beyond theoretical research into practical pharmaceutical development.

How Can Researchers and Pharma Companies Access These Tools?

• Cloud Marketplace Access: Both AQCat and AQPotency are now available through Google Cloud Marketplace, allowing businesses, research centers, and pharmaceutical labs to subscribe and use the models without building their own infrastructure.
• Hybrid Workflow Integration: Researchers can combine these quantitative models with Gemini language models to create more sophisticated research workflows that blend numerical analysis with natural language understanding.
• Scalable Computing: While SandboxAQ's models currently run on traditional accelerators like GPUs and TPUs, they are built using quantum algorithms that will become even more powerful as quantum computers develop in the future.

The partnership strengthens SandboxAQ's position as a leader in scientific AI alongside competitors like Isomorphic Labs, also from Alphabet, and OpenAI, which recently released its own model for biological research.

Why Does This Matter for Drug Development Right Now?

The pharmaceutical industry is facing real pressure. After a surge in demand during the pandemic, the market has experienced falling demand and increased regulatory scrutiny. In this environment, speed and flexibility in development have become strategic advantages, and AI has become a key tool for acceleration.

"The technology can save years of research while simultaneously expanding the solution space, opening up approaches that are unattainable with traditional methods," said Jack Hidary, CEO of SandboxAQ.

Jack Hidary, CEO at SandboxAQ

This capability to compress timelines is particularly valuable for rare diseases and conditions where traditional drug discovery might take decades. By using AI to predict which molecular candidates are most likely to work, researchers can focus their expensive lab work on the most promising leads.

What Is SandboxAQ's Background, and How Did It Get Here?

SandboxAQ began as a quantum computing lab within X, Alphabet's moonshot division formerly known as Google X. The company spun out as an independent entity in 2022 and has attracted significant backing from influential tech leaders. Its investors include former Google CEO Eric Schmidt and Salesforce Chief Marc Benioff.

The company recently raised $500 million under the CHIPS government program to develop AI models specifically for semiconductor manufacturing. Beyond drug discovery, AQCat is being used to search for new chemical compositions for batteries, catalysts, magnets, and methods for breaking down "forever chemicals," also known as PFAS, which are persistent pollutants that accumulate in the environment and human bodies.

While SandboxAQ's models use quantum algorithms, they currently run on traditional accelerators because quantum computers are still in early stages of development. However, Hidary noted that as quantum computing technology matures, the computational power of these AI systems will increase substantially, potentially unlocking even faster discovery cycles.

The Google Cloud partnership represents a turning point in how scientific AI gets deployed. Rather than keeping advanced computational tools locked within large pharmaceutical companies or research institutions, this move makes them available to a broader ecosystem of researchers, smaller biotech firms, and academic labs that previously lacked access to such powerful tools.