Sandbox AQ

SandboxAQ is an enterprise technology company that leverages the compound effects of AI and advanced computing — including quantum-rooted methods — to address some of the most significant challenges facing society. The company develops what it calls Large Quantitative Models (LQMs): AI systems trained on the laws of nature rather than purely on text or statistical patterns, enabling quantitative, physics-grounded outputs across industries such as biopharma, chemicals, materials science, cybersecurity, and navigation.

SandboxAQ serves leading global enterprises and government organizations, offering solutions that span AI-driven drug discovery, post-quantum cryptography, autonomous navigation, medical diagnostics, and new materials development. The company was spun out as an independent entity and has attracted investment and partnerships from prominent figures and institutions in the AI and technology sectors.

Key Application Areas and Products

• AI Drug Discovery: Accelerates the design of new therapeutics using quantitative AI grounded in physics and chemistry, enabling faster identification and optimization of drug candidates.
• New Chemicals and Materials: Predicts molecular and atomic-level properties to unlock breakthrough materials, supporting research and development at industrial scale.
• Cybersecurity and Post-Quantum Cryptography: Maps vulnerabilities and optimizes resilience across digital infrastructure, including post-quantum cryptography management to prepare organizations for the era of quantum computing threats.
• Navigation: Enhances autonomy and precision in GPS-denied and complex environments, supporting advanced navigation use cases for global organizations.
• Medical Diagnostics: Improves diagnosis and treatment planning through advanced AI-driven cardiac signal analysis.

Notable Products and Research Initiatives

• AQAffinity: An open-source, structure-free binding affinity prediction tool built on OpenFold3, launched in collaboration with the OpenFold Consortium. It is designed to accelerate drug discovery by predicting how strongly molecules bind to biological targets.
• SAIR Dataset: The largest publicly available binding affinity dataset featuring cofolded 3D structures, made available to support the broader scientific community in AI-driven drug discovery research.
• AQCat25-EV2 Models: Described as the first AI model for heterogeneous catalysis achieving quantum-level accuracy for all industrially relevant atom types, representing a significant advance in materials and chemical research.
• Agentic AI Chemist: An autonomous AI system capable of exploring millions of potential chemical pathways far beyond what a human chemist could evaluate, enabling the discovery of novel molecules and the optimization of compounds for clinical and scale-up success. It combines and orchestrates multiple LQMs to transform the scale of the research and development process.

Large Quantitative Models (LQMs) — Core Differentiators

• Rooted in Science: LQMs are trained on the laws of nature, providing a physics-based foundation that distinguishes them from conventional large language models.
• Engineered for Impact: Applicable across domains ranging from molecular modeling to cyber defense.
• Real-World Solutions: Designed to deliver clear, actionable outputs with reduced uncertainty, making them suitable for high-stakes enterprise environments.
• Proven and Scalable: Already deployed in demanding, real-world domains across multiple industries.

Partnerships, Customers, and Collaborations

• SandboxAQ has partnered with the Department of Defense (DoD) for AI and post-quantum cryptography defense initiatives.
• A deal was signed with Bahrain's sovereign fund to accelerate drug discovery using AI, with Bahrain also working with SandboxAQ to secure its digital economy ahead of the quantum computing era.
• The company collaborates with the OpenFold Consortium on open-source AI tools for structural biology and drug discovery.
• SandboxAQ is trusted by leading global enterprises across biopharma, chemicals, financial services, and government sectors.

Investors and Advisors

• Yann LeCun, Turing Award winner and leading AI scientist, is an investor who has highlighted SandboxAQ's leadership in quantitative AI as defining for large sectors of the economy including biopharma, chemicals, and financial services.
• Jim Breyer, CEO of Breyer Capital, is a proud backer who has described SandboxAQ as the pacesetter in quantitative AI with impact across multiple large sectors.
• USIT Investment Fund is a committed investor supporting SandboxAQ's portfolio approach across cybersecurity, navigation, and AI simulation.
• Jen Sovada, part of the original spinout team, serves as a Senior Advisor and has noted the company's real-world impact in biopharma, materials, and cyber.
• Chris Hume, Senior Advisor and former senior executive, has highlighted the traction SandboxAQ has achieved with large enterprise customers.

Scientific Research and Publications

• SandboxAQ scientists publish research across AI, physics, chemistry, biotech, cybersecurity, and other fields, reflecting the company's deep technical foundation.
• The company's leadership, including CEO Jack Hidary, is active in public discourse on AI's role in the real world, post-quantum security, and the future of quantitative AI through media appearances on CNBC, Fox Business, and at events such as Davos.

SandboxAQ positions itself not merely as a builder of smarter models, but as a company developing AI that fundamentally understands the physical world — what it calls Quantitative AI — with the goal of transforming enterprise research, security, and discovery at scale.