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SandboxAQ

Quantitative AI and quantum-inspired technology for chemistry, materials and security

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About SandboxAQ

SandboxAQ builds large quantitative models that combine AI with physics-based simulation, applied to drug discovery, materials, and cryptography management. It was spun out of Alphabet in 2022. Customers include pharmaceutical, chemicals and cybersecurity organizations.

Common use cases

  • Materials design
  • Drug candidate screening
  • Post-quantum cryptography migration
  • Battery chemistry

Products and services

AQChemSim

Simulation and AI for chemistry and materials discovery.

AQBioSim

Computational tools for drug discovery.

AQtive Guard

Cryptographic asset discovery and migration planning.

Recent product updates

  • Added real-time guardrails, an MCP risk-assessment agent, shadow-AI scanning and EU AI Act posture reports to AQtive Guard (March 2026), with broader rollout planned later in 2026.

Key features

  • Large quantitative models
  • Physics-based simulation
  • Materials discovery
  • Cryptography inventory
  • Drug discovery support

Integrations

  • NVIDIA
  • Google Cloud
  • AWS
  • Microsoft Azure

SandboxAQ alternatives

  • Schrodinger
  • Insilico Medicine
  • Microsoft Azure Quantum
  • NVIDIA BioNeMo

FAQs

What are large quantitative models?

The company uses the term for AI models trained on physics-based simulation data.

Is it related to Alphabet?

It began as an Alphabet project and became independent in 2022.

What industries does it serve?

Life sciences, materials, energy and cybersecurity.

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