Digital Twin Revolution
Unleash the power of Digital Twin and AI/ML Technology for Digital Transformation to improve and modernize all aspects of operations
Digital Twin Software & Cloud Cyber Range
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.

CYBER RANGE
DarkStax™ enables cyber-physical system modeling and cyber wargame emulation over digital twins.

Digital Transformation
DarkStax™ platform provides a cost-effective environment to incorporate and assess emerging technologies and business models.

Digital Engineering
DarkStax™ enables the creation or incorporation of existing digital models to track the system throughout its life cycle.
Data 2 Decisions
Digital Twin technology
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.

Agile/DevSecOps
Our process automates the replication of environments into a sandbox for model-based testing, training, and experiments.

Cognitive Agents
DarkStax™ Agent-Based Modeling (ABM) feature provides an ability to build behavior models on a canvas. It can also incorporate AI/ML models derived from real-world data.

DIGITAL TWIN PROVISIONING
Our core feature streamlines the provisioning of the digital twin in the cloud or on-premises infrastructure.

Insight and Visualization Layer
Our solution utilizes D2D’s flexible, extensible, and tailorable features to instrument, monitor, and visualize data on intuitive dashboards. It also provides learning feedback to improve the behavior of Digital Twins.


Autonomous Simulation or Emulation
DarkStax™ cognitive server automates the execution of time or event-triggered events planned for analysis. It can also react to AI/ML prediction events.