Proqio’s Digital Twin

A living virtual model of your infrastructure, from the surface to the subsurface

Understand, Anticipate, Decide

Managing a critical asset requires much more than knowing its physical structural characteristics. It is essential to understand how it behaves, how it evolves, why, and what might happen next. Without relying on constant field visits or interpreting isolated data, Proqio's Digital Twin transforms your site into a living virtual model that integrates models, terrain, subsoil, and environment.

What is Proqio’s Digital Twin?

Proqio’s Digital Twin is a dynamic digital representation of infrastructure such as dams, tunnels, bridges, mines, buildings, or projects under construction.

This digital model reproduces your infrastructure in real time with a comprehensive view that includes surface assets, terrain, and surroundings using GIS information and BIM models, as well as a representation of the subsoil with geotechnical strata, foundations, piles, and relevant elements, including machinery in tunnels (e.g., TBM).

Unlike static models, it evolves continuously, reflecting the real behavior of the asset.

Data always in context
Data alone is not enough. In Proqio’s Digital Twin, every data point is fully contextualized: sensors are placed directly on the model, measurements are interpreted in relation to the asset, and values are analyzed alongside their historical evolution. This makes it possible to understand what is happening, where it is happening, since when, and how it is evolving, turning data into actionable insight.
Designed for daily operations
Proqio’s Digital Twin is designed for teams that manage real infrastructure, including asset owners, construction companies, designers, consultants, and monitoring specialists. All stakeholders collaborate on a single shared digital model, accessible from anywhere, with clear and prioritized information. It is not about seeing more data, but about making better decisions.
From observing to anticipating
Beyond visualization, Proqio’s Digital Twin interprets data and learns from asset behavior. Using machine learning models, the platform identifies normal behavior patterns, detects early deviations, generates behavior-based early warnings, and prioritizes actions based on actual risk. The digital model becomes a predictive tool, enabling proactive decisions instead of reactive responses.
Data always in context
Data alone is not enough. In Proqio’s Digital Twin, every data point is fully contextualized: sensors are placed directly on the model, measurements are interpreted in relation to the asset, and values are analyzed alongside their historical evolution. This makes it possible to understand what is happening, where it is happening, since when, and how it is evolving, turning data into actionable insight.
Designed for daily operations
Proqio’s Digital Twin is designed for teams that manage real infrastructure, including asset owners, construction companies, designers, consultants, and monitoring specialists. All stakeholders collaborate on a single shared digital model, accessible from anywhere, with clear and prioritized information. It is not about seeing more data, but about making better decisions.
From observing to anticipating
Beyond visualization, Proqio’s Digital Twin interprets data and learns from asset behavior. Using machine learning models, the platform identifies normal behavior patterns, detects early deviations, generates behavior-based early warnings, and prioritizes actions based on actual risk. The digital model becomes a predictive tool, enabling proactive decisions instead of reactive responses.
Data always in context
Data alone is not enough. In Proqio’s Digital Twin, every data point is fully contextualized: sensors are placed directly on the model, measurements are interpreted in relation to the asset, and values are analyzed alongside their historical evolution. This makes it possible to understand what is happening, where it is happening, since when, and how it is evolving, turning data into actionable insight.
Designed for daily operations
Proqio’s Digital Twin is designed for teams that manage real infrastructure, including asset owners, construction companies, designers, consultants, and monitoring specialists. All stakeholders collaborate on a single shared digital model, accessible from anywhere, with clear and prioritized information. It is not about seeing more data, but about making better decisions.
From observing to anticipating
Beyond visualization, Proqio’s Digital Twin interprets data and learns from asset behavior. Using machine learning models, the platform identifies normal behavior patterns, detects early deviations, generates behavior-based early warnings, and prioritizes actions based on actual risk. The digital model becomes a predictive tool, enabling proactive decisions instead of reactive responses.
Data always in context
Data alone is not enough. In Proqio’s Digital Twin, every data point is fully contextualized: sensors are placed directly on the model, measurements are interpreted in relation to the asset, and values are analyzed alongside their historical evolution. This makes it possible to understand what is happening, where it is happening, since when, and how it is evolving, turning data into actionable insight.
Designed for daily operations
Proqio’s Digital Twin is designed for teams that manage real infrastructure, including asset owners, construction companies, designers, consultants, and monitoring specialists. All stakeholders collaborate on a single shared digital model, accessible from anywhere, with clear and prioritized information. It is not about seeing more data, but about making better decisions.
From observing to anticipating
Beyond visualization, Proqio’s Digital Twin interprets data and learns from asset behavior. Using machine learning models, the platform identifies normal behavior patterns, detects early deviations, generates behavior-based early warnings, and prioritizes actions based on actual risk. The digital model becomes a predictive tool, enabling proactive decisions instead of reactive responses.

Data always in context
Data alone is not enough. In Proqio’s Digital Twin, every data point is fully contextualized: sensors are placed directly on the model, measurements are interpreted in relation to the asset, and values are analyzed alongside their historical evolution. This makes it possible to understand what is happening, where it is happening, since when, and how it is evolving, turning data into actionable insight.
Designed for daily operations
Proqio’s Digital Twin is designed for teams that manage real infrastructure, including asset owners, construction companies, designers, consultants, and monitoring specialists. All stakeholders collaborate on a single shared digital model, accessible from anywhere, with clear and prioritized information. It is not about seeing more data, but about making better decisions.
From observing to anticipating
Beyond visualization, Proqio’s Digital Twin interprets data and learns from asset behavior. Using machine learning models, the platform identifies normal behavior patterns, detects early deviations, generates behavior-based early warnings, and prioritizes actions based on actual risk. The digital model becomes a predictive tool, enabling proactive decisions instead of reactive responses.
Data always in context
Data alone is not enough. In Proqio’s Digital Twin, every data point is fully contextualized: sensors are placed directly on the model, measurements are interpreted in relation to the asset, and values are analyzed alongside their historical evolution. This makes it possible to understand what is happening, where it is happening, since when, and how it is evolving, turning data into actionable insight.
Designed for daily operations
Proqio’s Digital Twin is designed for teams that manage real infrastructure, including asset owners, construction companies, designers, consultants, and monitoring specialists. All stakeholders collaborate on a single shared digital model, accessible from anywhere, with clear and prioritized information. It is not about seeing more data, but about making better decisions.
From observing to anticipating
Beyond visualization, Proqio’s Digital Twin interprets data and learns from asset behavior. Using machine learning models, the platform identifies normal behavior patterns, detects early deviations, generates behavior-based early warnings, and prioritizes actions based on actual risk. The digital model becomes a predictive tool, enabling proactive decisions instead of reactive responses.
Data always in context
Data alone is not enough. In Proqio’s Digital Twin, every data point is fully contextualized: sensors are placed directly on the model, measurements are interpreted in relation to the asset, and values are analyzed alongside their historical evolution. This makes it possible to understand what is happening, where it is happening, since when, and how it is evolving, turning data into actionable insight.
Designed for daily operations
Proqio’s Digital Twin is designed for teams that manage real infrastructure, including asset owners, construction companies, designers, consultants, and monitoring specialists. All stakeholders collaborate on a single shared digital model, accessible from anywhere, with clear and prioritized information. It is not about seeing more data, but about making better decisions.
From observing to anticipating
Beyond visualization, Proqio’s Digital Twin interprets data and learns from asset behavior. Using machine learning models, the platform identifies normal behavior patterns, detects early deviations, generates behavior-based early warnings, and prioritizes actions based on actual risk. The digital model becomes a predictive tool, enabling proactive decisions instead of reactive responses.
Data always in context
Data alone is not enough. In Proqio’s Digital Twin, every data point is fully contextualized: sensors are placed directly on the model, measurements are interpreted in relation to the asset, and values are analyzed alongside their historical evolution. This makes it possible to understand what is happening, where it is happening, since when, and how it is evolving, turning data into actionable insight.
Designed for daily operations
Proqio’s Digital Twin is designed for teams that manage real infrastructure, including asset owners, construction companies, designers, consultants, and monitoring specialists. All stakeholders collaborate on a single shared digital model, accessible from anywhere, with clear and prioritized information. It is not about seeing more data, but about making better decisions.
From observing to anticipating
Beyond visualization, Proqio’s Digital Twin interprets data and learns from asset behavior. Using machine learning models, the platform identifies normal behavior patterns, detects early deviations, generates behavior-based early warnings, and prioritizes actions based on actual risk. The digital model becomes a predictive tool, enabling proactive decisions instead of reactive responses.

1 Data always in context

Data alone is not enough. In Proqio’s Digital Twin, every data point is contextualized:

Sensors are located directly on the model
Measurements are interpreted in relation to the asset
Values are analyzed together with their historical evolution

This allows you to understand what is happening, where, since when, and how it is evolving, turning data into actionable insight.

2 Designed for daily operations

Proqio’s Digital Twin is built for teams managing real infrastructure: asset owners, construction companies, designers, consultants, and monitoring specialists.
All stakeholders work on a single shared digital model, accessible from anywhere, with clear and prioritized information.

It’s not about seeing more data, but about making better decisions.

3 From observing to anticipating

Beyond visualization, Proqio’s Digital Twin interprets data and learns from asset behavior.
Using machine learning models, the platform:

Identifies normal behavior patterns
Detects early deviations
Generates behavior-based early warnings
Prioritizes actions based on actual risk

The digital model becomes a predictive tool, enabling proactive decisions instead of reactive responses.

KEY BENEFITS

What makes it unique

Real-time visibility of asset performance from geotechnical and structural sensors, LiDAR, InSAR, drones, GIS, etc

Reduced operational costs through optimized inspections and maintenance

Early risk detection based on behavior, using machine learning to detect anomalies and anticipate risks

Faster, more reliable decisions enabled by predictive intelligence that helps prioritize actions

Full integration and understanding of Surface, subsoil, assets, and environment in a single living digital model

Scalable and flexible digital models that grow over time

High-end visual realism Powered by Unreal Engine 5

Protect what matters

Critical infrastructure requires continuous, contextualized understanding and the ability to anticipate. Proqio’s Digital Twin is a living virtual model that evolves with reality, helping you anticipate risks, make confident decisions, and protect people and assets.

Would you like to see your site as a living digital model? Claim a demo today!

Experience Proqio Digital Twin in action

See how your project can come to life in a real-time 3D model