Cities Are No Longer Just Observed, They Are Understood.
MetaTwin is a web-based digital twin platform designed to analyze the assets and field conditions that your institution wants to observe, measure, inspect, or turn into action through artificial intelligence. By using imagery, LiDAR, and geospatial data, the objects, violations, changes, and field conditions defined by your institution can be automatically detected. All this data can be visualized on maps and digital twins, measured, evaluated according to institutional rules, and connected to operational processes. MetaTwin can also provide inventory management, field inspection, measurement validation, reporting, executive decision-support dashboards, and institution-specific KPI analytics.
MetaTwin does not merely provide a digital view; it analyzes data coming from the field, transforms it into action in line with your institution’s processes, and reduces your operational workload.
AI-Powered Asset and Condition Detection
MetaTwin automatically detects the assets, violations, changes, and operational conditions that your institution wants to monitor in the field using artificial intelligence. Institution-specific objects and field conditions can be classified, interpreted, and transformed into manageable digital records together with imagery, location, and analytical data.
Field View on the Digital Twin
MetaTwin brings together field imagery, detection results, geospatial data, and asset information on the digital twin. Users can examine project areas through a map-based interface, access detected elements, and make the physical reality of the field observable, searchable, and manageable from a single screen.
LiDAR-Supported Measurement and Geospatial Validation
With its LiDAR-supported analysis capabilities, MetaTwin helps validate detected assets through metrics such as location, dimensions, area, and volume. As a result, field elements identified by artificial intelligence do not remain limited to visual detection; they become measurable, geolocated, and technically validated decision data.
Institution-Specific Rule Engine
MetaTwin enables institutions to define their own inspection, compliance, and operational rules within the system. Each detected asset or condition can be automatically evaluated according to its type, location, measurement, risk level, and institutional policies. In this way, field data is transformed into an intelligent structure that directly generates decisions and actions.
Action and Operational Process Management
MetaTwin integrates AI-powered detection results and rule-based field data with institutional operational processes. Detected non-compliances, risks, and assets requiring follow-up can be seamlessly linked to tasks, notifications, inspections, reports, and actions assigned to the relevant departments.
As a result, field data becomes more than information to be monitored—it is transformed into actionable operational intelligence that can be prioritized, tracked, and managed efficiently. Institutions can coordinate intervention processes from a single platform, monitor operational progress in real time, and make field operations more measurable, transparent, and effective.
Reporting, KPI, and Decision-Support Dashboards
MetaTwin transforms detection, measurement, rule, and action data collected from the field into executive decision-support dashboards. Reports can be generated by project, region, object type, violation status, and operational stage. Through institution-specific KPI structures, field performance can be measured, processes can be monitored, and strategic decisions can be supported by data.
