Built on the Best Tools for Each Scenario
We use the right simulation engine for your specific needs
O3DE
Open 3D Engine – open-source game engine with ROS 2 Gem, great for custom environments and GPU LiDAR.
Learn MoreNVIDIA Isaac Sim
Robotics-focused simulator with strong integration into NVIDIA's ecosystem.
Learn MoreWhat You Can Do with Digital Twins
👁️ Real-Time Visualization
See your robots and infrastructure as they operate:
- Live positions and trajectories of robots and drones
- Status and telemetry overlays from WiseOS / ROS 2
- Environmental context (terrain, buildings, obstacles, assets)
This gives operators and engineers a shared situational awareness.
🧪 Scenario Simulation & Testing
Experiment safely with:
- New missions and task plans
- Route changes and traffic patterns
- Edge cases and rare events
- Failure and recovery scenarios
Run multiple scenarios in parallel, compare outcomes and select the best configuration before deploying.
📊 Risk & Performance Analysis
Digital Twins help you uncover:
- Potential collisions and route conflicts
- Bottlenecks in logistics and workflows
- Safety issues in layouts or procedures
- Sensitivity of operations to delays and failures
This supports better design, planning and continuous improvement.
🤖 AI & MCP ROS2 Validation
Before allowing AI agents to operate on real robots, you can:
- Connect MCP ROS2 to the simulated environment
- Let agents propose and execute actions in the twin
- Observe behavior, metrics and potential risks
- Iterate on prompts and policies
This gives you a structured "sim-before-deploy" workflow for AI-driven operations.
Data & Asset Integration
Digital Twins ingest and combine data from multiple sources
CAD & BIM
Import design models and building information
GIS & Maps
Geographic data and map providers
ROS 2 Data
Maps and sensor data from your robots
InfluxDB
Historical telemetry from Data Black Box
This allows you to build twins that are not only visually accurate, but data-rich and operationally meaningful.
Business Benefits
⚠️ Lower Deployment Risk
Test changes in the twin first. Validate before committing to hardware deployments.
🚀 Faster Innovation
Iterate on designs and AI logic virtually. Reduce development cycles.
🤝 Better Collaboration
Shared 3D view across engineering, operations and leadership. Everyone sees the same picture.
🎓 Improved Training
Realistic, low-risk training environment for operators and AI systems.
Example Scenarios
☀️ PV Farm Operations
A PV farm operator simulates new inspection routes for drone fleets before changing the live schedule.
🏭 Warehouse Optimization
A warehouse tests new AMR routes and layouts to reduce congestion before rolling out changes.
⚡ Utility Training
A utility company trains teams on incident response using a twin of a substation.
🛡️ Defence Validation
A defence customer evaluates autonomous patrol policies in a synthetic environment before deployment.
See Your Future Operations Before You Commit to Them in Hardware
Request a Digital Twin demo and explore what's possible