Connected synthetic training
metaCAN Synthetic Training Integration Platform
Connect training environments, distribute scenarios and bring instructor controls, session information and performance evidence into one governed architecture.
From isolated systems to shared training
Coordinate scenarios, sites and performance data
metaCAN is designed to connect synthetic ranges, training centres and authorised analysis functions without forcing each site to rebuild the same workflow.
Scenario distribution
Prepare and distribute controlled scenarios and supporting logic to connected training environments.
Instructor oversight
Give authorised staff visibility of session status, activity and the controls relevant to their role.
Performance evidence
Aggregate session information for after-action review, reporting and comparison across exercises or sites.
One platform, several workflows
Prepare, control and evaluate through a shared environment
metaCAN supports environment and asset preparation, scenario logic, mission control and performance analytics within a connected workflow.
The architecture can link approved synthetic platforms, local compute, instructor stations and central analysis functions while keeping roles and data access defined.
- Environment and scenario preparation
- Logic, triggers and controlled scenario events
- Instructor dashboards and session monitoring
- Performance analytics and after-action review
- Single-site or multi-site deployment options
Operational workflow
Connect the synthetic training lifecycle
1. Prepare
Build or select environments, assets, objectives and scenario logic.
2. Distribute
Send the approved scenario and configuration to the relevant site.
3. Monitor
Observe session activity and apply authorised instructor controls.
4. Evaluate
Review performance, sequence of events and supporting evidence.
Architecture and assurance
Scale from one facility to a connected training estate
metaCAN can begin with a single site and expand as governance, connectivity and operational need mature. Deployment options can include local, on-premises and approved cloud components.
Integration planning establishes data ownership, platform interfaces, network constraints, user roles, resilience and the information that may move between sites.
Discuss a connected synthetic-training architecture
Bring us your current platforms, sites, instructor workflow and data constraints. We will map an achievable metaCAN deployment path.
