Shakudo empowers organizations to create and leverage digital twins for unprecedented system modeling and optimization. This solution integrates advanced simulation tools with real-time data processing, enabling businesses to predict system behavior, optimize performance, and reduce downtime across complex operations. By providing a unified platform for developing, deploying, and managing digital twin technologies, Shakudo accelerates innovation and drives operational excellence in various industries.
Revolutionize your operational efficiency with high-fidelity digital twins. This solution enables real-time monitoring, predictive maintenance, and optimized decision-making across complex systems.
Apache Flink processes streaming data from your physical assets, while PyTorch powers advanced machine learning models that accurately predict system behavior. Ray enables distributed computing for handling complex simulations at scale.
Grafana provides real-time visualizations of your digital twins, allowing for intuitive monitoring and control. MinIO offers scalable storage for the vast amounts of data generated, while Neo4j manages the complex relationships between system components.
The outcome is a dramatic reduction in downtime, optimized resource utilization, and the ability to test scenarios virtually before implementing changes in the real world. Creating a comprehensive digital twin system traditionally requires 6-12 months. With Shakudo, you can have a basic digital twin operational in weeks, allowing for rapid iteration and value realization.