DarkStax™ platform provides flexible and easily extensible features to create Digital Twins of the military, industrial or enterprise systems. It supports the integration of customer-defined, operational data-derived, and virtualization-based models into a scalable system-of-systems representative environment in cloud/on-premises computational infrastructure.
DarkStax™ enables cyber-physical system modeling and cyber wargame emulation over digital twins.
DarkStax™ enables the creation or incorporation of existing digital models to track the system throughout its life cycle.
DarkStax™ platform provides a cost-effective environment to incorporate and assess emerging technologies and business models.
DarkStax™ Data 2 Decisions (D2D) Analytics engine accelerates processes and improves data quality, analytics insights, and AI/ML models. It supports DataOps and MLOps automated, process-oriented methodology used by analytic and data teams. It includes visualization web services that provide a wide array of visualization options for data scientists and decision-makers. This engine is essential for Digital Twin model development and simulation/emulation-based analysis.
DarkStax™ Digital Twin Technology integrates Mission Systems, IoT, Artificial Intelligence, Machine Learning, and analytics with a graphic and/or spatial representation to provide a pillar for Digital Engineering and Transformation to speed up the pace of decision making.
Our process automates the replication of environments into a sandbox for model-based testing, training, and experiments.
Our process automates the replication of environments into a sandbox for model-based testing, training, and experiments.
Our process automates the replication of environments into a sandbox for model-based testing, training, and experiments.
Our process automates the replication of environments into a sandbox for model-based testing, training, and experiments.
Our process automates the replication of environments into a sandbox for model-based testing, training, and experiments.
DarkStax™ Data 2 Decisions (D2D) Analytics engine accelerates processes and improves data quality, analytics insights, and AI/ML models. It supports DataOps and MLOps automated, process-oriented methodology used by analytic and data teams. It includes visualization web services that provide a wide array of visualization options for data scientists and decision-makers. This engine is essential for Digital Twin model development and simulation/emulation-based analysis.