SandOS is the real-time control layer for the systems that run your city, utility and nation.
Water networks leak. Power grids waste capacity. Cities react instead of predict. As infrastructure becomes more complex, failure becomes inevitable without a new operating layer.
Sand defines a new category of Physical AI: one that models entire physical assets and networks, operates in real time and directly controls outcomes.
A unified operating system for managing and controlling complex infrastructure systems in real time. Designed for rapid deployment at scale in weeks. Already deployed in 18+ countries across water, energy, telecom, healthcare and government use cases, with zero mission-critical failures.
SandOS continuously ingests data from sensors, SCADA, enterprise systems, and external sources to create a live operational picture of your infrastructure. Real-time and historical signals are unified into a continuously evolving system model within the decision stack, integrating directly with the systems you already run. Deploy cloud, hybrid, or on-premise with full data sovereignty.
SandOS builds on the system model to power the simulation and decision layers of the decision stack. Using consequence models, physics-aware simulation, AI prediction, and operational context, the platform models cause-and-effect, simulates outcomes, and determines optimal actions. Every recommendation is auditable, role-aware, and aligned to governance requirements in regulated infrastructure environments.
SandOS routes intelligence into the control layer and operational applications, from automated execution of low-risk interventions to agent-generated decision briefs for complex scenarios. Pre-built domain applications and APIs enable rapid deployment of new workflows without replacing existing systems.
Improved patient care for over 14M patients through data and AI.
