ScaleOut Digital Twins is a software framework that enables organizations to create, deploy, and manage digital twins at scale for real-time monitoring, streaming analytics, and predictive modeling. It leverages in-memory computing, machine learning, and generative AI to track thousands of live data sources, simulate complex systems, and provide actionable insights for operational decision-making. The platform supports both cloud and on-premises deployment and is designed for a wide range of industries, including transportation, logistics, healthcare, utilities, and smart cities.

Key Features

Real-Time Digital Twin Management Continuously monitor and analyze thousands of live data sources.

• Supports large-scale, distributed systems (e.g., fleets, utilities, airlines)
• Fast, in-memory computing for low-latency analytics

Integrated AI/ML and Generative AI Enhance analytics and anomaly detection with machine learning and generative AI.

• Built-in support for ML.NET and TensorFlow models
• Generative AI for natural language queries and visualizations

Scalable Simulation and Predictive Modeling Simulate the behavior of complex systems and predict outcomes.

• Run simulations with thousands of interacting entities
• Replay live telemetry for offline analysis and scenario planning

Open-Source APIs and Developer Toolkit Rapidly build and test digital twin models.

• APIs and workbench available for Java, C#, and business rules
• Open-source tools for development and testing

Advanced Data Integration and Visualization Aggregate, visualize, and query real-time and simulation data.

• Connects to Azure IoT Hub, AWS IoT Core, Kafka, SQL Server, DynamoDB
• Real-time dashboards with customizable widgets and queries

Flexible Deployment Deploy on-premises or in the Microsoft Azure cloud.

• Seamless integration with cloud and enterprise data sources
• High availability and automatic scaling

Benefits

Faster, Data-Driven Decisions Empowers operational teams to respond to emerging issues in real time.

• Immediate alerts and insights reduce risk and downtime
• Predictive analytics improve planning and resource allocation

Improved Situational Awareness Aggregates and visualizes live data for comprehensive monitoring.

• Dashboards and queries provide actionable overviews
• Customizable analytics for diverse operational needs

Reduced Development Complexity Streamlined tools and APIs accelerate model creation and deployment.

• Open-source workbench simplifies testing and iteration
• Supports multiple programming languages and business rules

Industry Versatility Applicable across a wide range of sectors and use cases.

• Transportation, logistics, healthcare, utilities, smart cities, security, and more