What is SandboxAQ
SandboxAQ leverages the compound effects of AI and advanced computing to address some of the biggest challenges impacting society. They focus on building AI that understands the physical world, referred to as Quantitative AI, utilizing Large Quantitative Models (LQMs) purpose-built for real-world use cases.
Features of SandboxAQ
- Large Quantitative Models (LQMs) rooted in science and trained on the laws of nature
- LQMs engineered for impact, providing real-world solutions with clear outputs and reduced uncertainty
- Proven and scalable solutions already deployed in high-stakes domains
- AQtive Guard for detecting and addressing credential and cryptography vulnerabilities
- Agentic AI Chemist for smarter autonomy and transformation at scale in chemical discovery
Use Cases of SandboxAQ
- Drug Discovery: Accelerating the design of new therapeutics with quantitative AI grounded in physics and chemistry.
- New Chemicals & Materials: Predicting properties at the atomic level to unlock breakthrough materials.
- Cybersecurity: Mapping vulnerabilities and optimizing resilience across digital infrastructure.
- Navigation: Enhancing autonomy and precision in GPS-denied and complex environments.
- Medical Diagnostics: Improving diagnosis and treatment planning through advanced AI-driven cardiac signal analysis.
- Autonomous Discovery: Agentic AI Chemist explores millions of potential chemical pathways.
