Technology Stack

Built for the Future of Autonomous Systems​

🏗️ How It All Works Together​

Imagine a factory or large city with robots as drivers and sensors as senses:

WiseOS is the control center: It collects all messages from sensors (eyes, ears, nose) and robots in one language—ROS 2. This way, everyone knows what's happening. WiseOS connects everything into one domain, providing structure from data standardization to connectivity, observability, and access policies.

MCP is the dispatcher: It listens to those messages and tells robots what to do with simple commands ("pick this up", "move it there", "fly to location A"). Instead of controlling topics, you define intentions; MCP translates them into plans, schedules, and constraints.

Digital Twin is the city map on screen: You can see what sensors feel and where robots move, and safely "test" different scenarios before doing it for real.

The Result: Sensors see and communicate, WiseOS connects everyone into one ROS 2 domain, MCP issues commands, and the digital twin shows it all live—making the entire system work fast, smart, and safely.

🤖 Core Platform: ROS 2 Foundation​

Robot Operating System 2 provides the distributed computing backbone for all WiseVision solutions:

• Real-time Communication: DDS middleware ensures microsecond precision
• Scalable Architecture: From single robots to thousand-node fleets
• Cross-platform: Linux, Windows, embedded systems support
• Industry Standard: Proven in production across aerospace, automotive, and industrial sectors
• Common Ontology: Normalized events, states, and commands in one semantic framework—same concepts, same contracts regardless of vendor

🧠 AI Agent Integration​

Model Context Protocol (MCP) bridges intelligent agents with robotic systems:

MCP provides a standardized way for AI agents to access and interact with ROS 2 systems, enabling seamless integration between modern AI capabilities and robotic platforms without requiring custom integration code.

📊 Data Layer: InfluxDB Time Series​

High-performance time series database optimized for robotics telemetry:

• Sensor Data: Store millions of measurements per second
• Real-time Analytics: Query robot performance in milliseconds
• Compression: Efficient storage for long-term trend analysis
• Grafana Integration: Beautiful dashboards for operational insights

🌐 IoT Connectivity Bridges​

Multi-protocol support for diverse operational environments:

• LoRaWAN: Long-range, low-power for rural/remote deployments
• 5G/LTE: High-bandwidth for urban autonomous vehicle fleets
• Edge Computing: Local processing for latency-critical applications
• Satellite: Connectivity anywhere on Earth for mining/maritime operations

🔮 Digital Twin Engine: O3DE Integration​

Open 3D Engine creates living digital representations:

Real-time synchronization between physical robots and their digital counterparts enables simulation, testing, and monitoring of robotic systems in virtual environments before deployment.

Architecture Overview​

Cloud, Edge, or Hybrid Deployment​

Flexible Infrastructure Options:

• ☁️ Cloud-native: Full managed service with global scalability
• 🖥️ On-premises: Complete control for sensitive environments
• 🌊 Edge computing: Ultra-low latency for real-time applications
• 🔄 Hybrid: Best of both worlds with intelligent data routing

Security & Compliance​

Enterprise-grade protection for mission-critical operations:

• 🔐 End-to-end Encryption: TLS 1.3 for all communications
• 🎫 Role-based Access: Granular permissions for different user types
• 📋 Compliance Ready: GDPR, HIPAA, ISO 27001 frameworks supported
• 🔍 Audit Logging: Complete traceability for all system actions

Open Source Foundation​

WiseVision is built on proven open-source technologies:

Explore our products → | See it in action →