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SandOS is a real-time control layer platform developed by Sand Technologies designed to manage and optimize critical infrastructure systems such as water networks, power grids, telecommunications, healthcare, and government services. It addresses the challenge of increasing complexity and inevitable failures in physical infrastructure by providing a unified operating system that continuously ingests data from sensors and enterprise systems to create a live operational model. SandOS uses advanced Physical AI, combining physics-aware simulation, AI prediction, and operational context to simulate outcomes, model cause-and-effect, and recommend optimal actions. It supports cloud, hybrid, or on-premise deployment with full data sovereignty and integrates seamlessly with existing systems. The platform is trusted in over 18 countries and is built for rapid deployment at scale, making it suitable for organizations requiring real-time infrastructure control and decision-making.
4.7/5
Accurate, actionable, and auditable
Robust and enterprise-focused
To provide a real-time control and decision-making layer for managing complex critical infrastructure systems.
Deployable on cloud, hybrid, or on-premise environments with APIs for integration into existing infrastructure workflows.
Custom enterprise pricing based on deployment scale and use cases.
Features with the highest value for users are highlighted here.
Real-time data ingestion
Physics-aware simulation
AI-driven prediction
Unified system modeling
Automated intervention execution
Role-aware decision recommendations
Cloud, hybrid, and on-premise deployment
Pre-built domain applications
Utility Operators
City Planners
Telecommunications Managers
Healthcare Administrators
Government Agencies
Energy Grid Operators
Infrastructure Engineers
Large Enterprises
Regulated Industries
AI and Data Scientists
Enterprise Custom
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
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