SandboxAQ is a B2B AI and quantum technology company focused on Large Quantitative Models and domain solutions for scientific and operational problems where precision matters. Its portfolio addresses drug discovery, chemicals and materials, cybersecurity, resilient navigation, and medical diagnostics, giving enterprises, public sector organizations, and research-driven teams tools built for real-world quantitative decision-making.
SandboxAQ centers its approach on models grounded in physics, chemistry, biology, and mathematics rather than language generation alone. It packages those capabilities into solution families including AQBioSim, AQChemSim, AQtive Guard, AQNav, AQMed, and AQAffinity, and supports multiple delivery models ranging from enterprise software deployments to cloud-enabled access and LLM-connected workflows.
Offerings, Capabilities, and Integrations
SandboxAQ combines quantitative AI, simulation, sensing, and quantum-inspired methods to help customers model complex systems, predict outcomes, and reduce experimentation cycles. Its offerings span molecular and materials simulation, binding affinity prediction, cryptography and non-human identity security, AI security posture management, GPS-denied navigation, and cardiac signal analysis.
SandboxAQ supports different adoption paths depending on customer needs. Organizations can access its capabilities through enterprise licensing, deeper co-development engagements, or LQM-enabled workflows that connect existing LLM clients and cloud environments to SandboxAQ models through Model Context Protocol. In cybersecurity, SandboxAQ also integrates with existing third-party security tools, cloud providers, CMDBs, and code repositories to unify visibility and remediation workflows.
Products and Services
- Large Quantitative Models (LQMs): SandboxAQ’s core quantitative AI approach, trained on scientific data and first-principles domains such as physics, chemistry, biology, and mathematics to model real-world systems and generate decision-ready outputs.
- AQBioSim: Drug discovery platform that applies Large Quantitative Models to molecular simulation, candidate optimization, and other in silico workflows for biopharma research and development.
- AQChemSim: Chemicals and materials discovery platform that uses physics-based simulation and machine learning to predict properties, explore chemical space, and support catalyst, battery, and materials innovation.
- AQtive Guard: Cybersecurity platform for managing and securing non-human identities, cryptographic assets, and related AI-era security risks across complex enterprise environments.
- AQMed: Medical diagnostics offering that combines AI and advanced sensing to improve diagnostic accuracy and speed, with an initial focus on cardiovascular applications.
- AQNav: Assured positioning, navigation, and timing solution that uses quantum sensors, AI, and Earth’s magnetic field to provide resilient navigation when GPS is denied, spoofed, or jammed.
- AQAffinity: Open-source binding affinity prediction model for drug discovery that predicts protein-ligand affinity directly from protein sequence and SMILES inputs without requiring an experimentally solved structure.
- CardiAQ: AQMed’s first product, a portable magnetocardiography device designed to provide rapid, non-invasive, radiation-free cardiac imaging and analysis.
- AQtive Guard Discover: Discovery and inventory module within AQtive Guard that maps cryptographic assets and usage across networks, applications, and filesystems to support visibility and cryptographic agility.
- AQtive Guard Protect: Security offering for the lifecycle management of non-human identities and cryptographic assets, adding observability, automated mitigation, and governance for exposed credentials and secrets.
- AQtive Guard AI-SPM: AI security posture management offering for discovering AI assets, assessing AI-specific risks, monitoring exposure, and enforcing governance across models, agents, and related infrastructure.
Target Customers
SandboxAQ targets organizations with computationally intensive, high-stakes workflows. In life sciences, that includes biopharma companies, drug discovery teams, and research organizations looking to speed molecule design, binding analysis, and preclinical decision-making. In chemicals and materials, its customers include industrial R&D groups working on catalysts, batteries, advanced materials, and sustainability-focused chemistry programs.
SandboxAQ also targets large enterprises, governments, and defense organizations that need stronger control over cryptography, non-human identities, AI exposure, and navigation resilience. Its medical diagnostics offerings are aimed at healthcare providers, health systems, and research hospitals seeking faster and more accessible cardiac assessment tools, while AQNav is relevant to aviation, defense, autonomy, and other operators working in GPS-degraded or contested environments.
Cloud Integrations and Marketplace
- AWS Marketplace: SandboxAQ has a verified AWS Marketplace presence through AQtive Guard, which is offered as a SaaS deployment for enterprise procurement and rollout on AWS.
- Google Cloud Marketplace: SandboxAQ has a verified Google Cloud Marketplace route to market through its Google Cloud partnership, which includes integrating and optimizing Large Quantitative Models on Google Cloud and enabling procurement and deployment through Google Cloud Marketplace.
Key People
- Jack Hidary: CEO
- Eric Schmidt: Chairman, Board of Directors
- Andrew McLaughlin: Chief Operating Officer
- David Silverman: Chief Financial Officer
- Dr. Stefan Leichenauer: VP of Engineering
- Suzannah Radack: VP of People & Operations
- Fernando Dominguez-Pinuaga: VP of Global Outreach
- Dr. Marc Manzano: General Manager of Cybersecurity
- Nadia Harhen: General Manager of AI Simulation
- Dr. Kit Yee Au-Yeung: General Manager of Sensing
- Luca Ferrara: General Manager of Navigation
Key Facts
- Headquarters: Palo Alto, California, United States
- Employees: Approximately 345
- Annual Revenue: Undisclosed
- Parent Company: None
- Subsidiaries: None
- Publicly Listed: No (private company)
