Bentley Systems Highlights AI-Powered Digital Twins to Improve Infrastructure Data Management

At the Cesium Developer Conference, Bentley Systems showcased how its Cesium platform, iTwin technology, and new AI tools can help solve a major infrastructure challenge: keeping project data connected throughout an asset’s entire lifecycle.

Industry experts noted that valuable information created during design is often lost when projects move from planning to construction and maintenance. Bentley aims to address this by using digital twins—virtual representations of real-world assets—to keep data accessible and connected for decades.

Bentley’s Cesium platform enables the collection, visualization, and sharing of large-scale 3D geospatial data, while iTwin technology integrates engineering and operational data into a single digital model. These tools help organizations manage roads, bridges, buildings, and other infrastructure more efficiently.

The company also highlighted the growing role of AI. New AI agents and Model Context Protocol (MCP) technology allow users to interact with engineering software using plain English, simplifying workflows and reducing data loss between project phases.

Additional innovations include iTwin Engage for immersive project visualization and iTwin Capture combined with AI for monitoring asset changes using highly detailed 3D models. Bentley said these technologies can improve collaboration, speed up decision-making, and support better long-term infrastructure management.

- Video Advertisement -

Related Post

Sabesp Transforms Water Infrastructure Through Digital Twin Technology

Sabesp, one of the world’s largest water and waste management companies, is revolutionizing how it serves 30 million residents in São Paulo, Brazil, by shifting from reactive, manual processes to a proactive, data-driven framework called INTEGRA 4.0. To achieve universal water and sanitation access, the utility partnered with Bentley Systems to break down data silos […]

Bentley Systems Expands Vilnius Hub to Lead Global Infrastructure Innovation

Bentley Systems is strengthening its European operations by opening a new office in Vilnius, Lithuania, with plans to grow its local team by nearly a third over the next three years.This expansion solidifies Vilnius as a central hub for the company’s digital innovation strategy, focusing on advancements in artificial intelligence and infrastructure development. Lithuanian engineering […]

New AI-Driven Training Platform Accelerates Bridge Inspection Solutions

A collaborative breakthrough between Collins Engineers and Bentley Systems is addressing America’s critical bridge infrastructure crisis by drastically shortening the time required to train the next generation of inspectors. During a recent three-day hackathon, developers utilized Bentley’s iTwin platform and AI-assisted coding to create a virtual training application, a process that previously took six months. […]

How Unified Reality Modeling Powers Intelligent Digital Twins

Infrastructure teams are overcoming the persistent challenge of isolated data silos by leveraging Unified Reality Modeling to build truly intelligent digital twins. While organizations often possess vast amounts of high-fidelity reality data—ranging from lidar scans and photogrammetry to geospatial information—this data frequently remains locked in disconnected formats, rendering it unintelligent and difficult to share. Bentley […]

France Advances Massive Canal Project with Digital Engineering

France is currently undertaking the construction of the Seine-Nord Europe Canal, a €7.3 billion project set to become the continent’s most ambitious waterway initiative in a century. Stretching 107 kilometers, the canal will provide France with direct freight access to major northern European ports like Rotterdam and Antwerp. To overcome the immense engineering challenges of […]

Infrastructure Leaders Overcome Data Silos with Unified Reality Modeling

Infrastructure organizations are increasingly turning to Bentley Systems’ iTwin Capture suite to transform disjointed data into powerful, intelligent digital twins. Previously, project teams struggled with “data silos,” where incompatible formats from lidar, photogrammetry, and geospatial sensors remained isolated, preventing comprehensive site analysis. This manual, disconnected approach often led to slow, costly processes that hindered real-time […]