How It Works
From the first sensor to fleet-wide deployment, WiseVision gives you one platform to connect, simulate and operate
1. Connect with WiseOS
Connect robots, drones, sensors and edge devices. Standardize communication (ROS 2, Zenoh, LoRaWAN, time-series telemetry).
2. Control with MCP ROS2
Let operators and AI agents interact with ROS 2 systems via standard MCP tools. Inspect, debug and orchestrate missions and workflows.
3. Validate in Digital Twins
Use O3DE / NVIDIA Isaac Sim / Genesis-based twins to test and visualize scenarios. Run "sim-before-deploy" for new missions and AI logic.
The same stack underpins all our solutions — you avoid vendor lock-in and one-off architectures.
AI-Accelerated Operations
MCP ROS2 enables AI agents to work alongside operators, dramatically accelerating troubleshooting, inspection and decision-making
🤖 AI-Assisted Workflows
Operators can ask AI agents natural language questions about robot status, inspect historical telemetry, and get contextual recommendations — all through the same MCP ROS2 interface.
- Query robot states and logs using plain language
- Generate reports and summaries on demand
- Identify anomalies and suggest corrective actions
- Automate routine inspection and data collection tasks
⚡ Faster Problem Resolution
When issues arise, AI agents can correlate data from multiple sources, propose hypotheses and even draft operational procedures — reducing time from incident to resolution.
- Cross-reference telemetry, logs and environmental data
- Suggest likely root causes based on patterns
- Draft incident reports and handover notes
- Propose and validate fixes in Digital Twins first
⚡ Energy & Utilities
Smarter inspections and monitoring for PV, wind and grids
Energy operators need reliable, continuous insights into distributed assets: PV fields, wind turbines, substations, overhead lines.
WiseVision helps you:
- Combine drones, ground robots and fixed sensors into one operational picture
- Use WiseOS to stream telemetry into a central Data Black Box (InfluxDB)
- Use MCP ROS2 to orchestrate inspection missions and data collection
- Build Digital Twins of farms and substations to validate procedures and AI logic
Typical Scenarios
- Autonomous drone/robot inspections of PV panels and substations
- Condition monitoring based on LoRaWAN sensors + robot verification
- Incident response workflows tested first in a digital twin environment
- AI agents assist operators in analyzing inspection data and prioritizing maintenance
🏭 Manufacturing & Intralogistics
Coordinated robotics for warehouses and factories
What WiseVision Provides
- WiseOS unifies ROS 2 robots and IoT devices across the shop floor
- MCP ROS2 lets engineers and AI agents inspect and control fleets via mission-level tools
- Digital Twins simulate warehouse layouts, traffic flows and what-if scenarios
- AI agents help operators optimize routes, diagnose bottlenecks and predict maintenance needs
Modern factories and warehouses operate fleets of AMRs, AGVs, fixed robots, cobots, sensors, conveyors and safety systems.
Benefits
- Better visibility into robot operations and bottlenecks
- Faster roll-out of new routes and workflows
- Safer experimentation with changes in a simulated twin before deployment
- AI-accelerated troubleshooting and operational decision-making
🏙️ Smart Cities & Infrastructure
City-wide sensing and robotics on one platform
Cities and infrastructure operators manage thousands of distributed assets: environmental and structural sensors (often over LoRaWAN), cameras, edge devices, service robots and drones for inspection and intervention.
WiseVision helps turn this into a single operational fabric:
- WiseOS connects LoRaWAN sensors, ROS 2 robots and edge compute
- MCP ROS2 exposes the whole system to AI agents and operator tools
- Digital Twins provide 3D context for critical assets and zones
Use Cases
- Monitoring bridges, tunnels and public infrastructure with mixed IoT + robotics
- Environmental monitoring with distributed sensors and mobile robots
- City-scale trials of autonomous operations in a safe, simulated environment first
- AI agents help operators correlate events, identify issues and recommend responses
🛡️ Defence & Security
Situational awareness and autonomous operations
What We Provide
- WiseOS for secure, segmented connectivity between assets
- MCP ROS2 to integrate AI agents into surveillance and patrol workflows
- Digital Twins (O3DE / Isaac Sim / Genesis) to model sites and run realistic training or what-if exercises
- AI-assisted decision support for operators in complex scenarios
For defence and security teams, WiseVision can serve as a neutral, ROS 2-based infrastructure layer for ground and aerial robotics, static and mobile sensors, command-and-control and training environments.
Potential Applications
- Perimeter and facility monitoring with mixed fleets
- Training and evaluation of autonomous patrol logic in synthetic environments
- Integration of LoRaWAN / RF sensors into robotics workflows
- AI agents support operators with threat assessment and response planning
Note: Defence projects are evaluated individually with appropriate controls and NDAs.
🌾 Agriculture & Environment
Field robotics and distributed sensing
Agriculture and environmental monitoring depend on wide-area sensing and growing use of mobile platforms.
WiseVision enables:
- Integration of LoRaWAN and other long-range sensors into ROS 2 via WiseOS
- Coordination of field robots or drones for inspection and sampling
- Digital Twins of fields, zones and assets for planning and evaluation
- AI agents help analyze crop data, optimize inspection routes and predict issues
Example Scenarios
- Crop and soil monitoring with static sensors + drone verification
- Automated inspection routes across large, hard-to-reach areas
- Simulation of new workflows in a twin before committing hardware
- AI-assisted analysis of environmental data and trend detection
Not Sure Where Your Use Case Fits?
If your challenge involves multiple robots, sensors and complex environments, we can likely map it onto WiseOS + MCP ROS2 + Digital Twins