Nvidia-backed AI startup SandboxAQ creates new data to speed up drug discovery

## Introduction to SandboxAQ and NVIDIA Collaboration SandboxAQ, a member of **NVIDIA's Inception program**, has been working closely with NVIDIA to develop and deploy cutting-edge AI solutions. Their collaboration involves utilizing the **NVIDIA DGX Cloud AI platform** on Google Cloud to build a state-of-the-art LQM platform. This partnership aims to transform how complex problems are solved across various industries by providing unparalleled speed, scalability, and precision in AI applications. ## Enhancements in Drug Discovery Drug discovery is a primary area where SandboxAQ's AI technology, particularly its **Agentic AI Chemist**, is making significant strides. This AI model can autonomously screen millions of molecular combinations, dramatically accelerating therapeutic discovery beyond traditional laboratory processes. The platform is trained on curated biomedical datasets combining chemical, genomic, and clinical data. This approach enhances efficacy predictions and reduces costly false positives, which are common challenges in the pharmaceutical industry. ### Key Improvements in Drug Development - **Accelerated Screening**: The Agentic AI Chemist enables the rapid screening of molecular combinations, expediting the identification of potential therapeutics. - **Improved Accuracy**: By leveraging high-quality biomedical datasets, SandboxAQ's models improve the accuracy of hit-to-lead conversion rates and target validation. - **Enhanced Preclinical Pipeline Performance**: Pharma companies are deploying this technology to enhance preclinical pipeline performance, with early indicators showing significant improvements. ## Advancements in Medical Imaging and Simulation Beyond drug discovery, SandboxAQ is applying its AI platform to **medical imaging and diagnostics**. High-fidelity simulations of biological tissues and molecular interactions support improved imaging resolution, more accurate anomaly detection, and real-time model-based interpretation of scan data. This capability is crucial for advancing medical diagnostics and therapeutic monitoring. ### Transformative Applications in Healthcare - **Improved Imaging Resolution**: The platform enhances imaging resolution, allowing for more precise diagnostics. - **Real-Time Interpretation**: Real-time model-based interpretation of scan data supports immediate clinical decision-making. ## Quantum Chemistry and Biological Modeling Breakthroughs SandboxAQ and NVIDIA have achieved notable successes in quantum chemistry and biological modeling. In 2024, they demonstrated an 80x speedup in quantum chemistry simulations using CUDA-accelerated techniques. This achievement enabled new insights into enzyme function and catalysis. In 2025, they successfully modeled a system with 82 electrons in 82 orbitals, a previously unachievable benchmark in the field. ## Conclusion The collaboration between SandboxAQ and NVIDIA is pushing the boundaries of AI-native science, offering transformative applications across multiple sectors. By leveraging the power of LQMs and advanced computing platforms, SandboxAQ is poised to revolutionize how complex problems are approached and solved, particularly in the fields of drug discovery and medical diagnostics. For more information on these technologies and their applications, visit [SandboxAQ](https://www.sandboxaq.com) and [NVIDIA](https://www.nvidia.com).