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Infrastructure AI drives automated engineering shift at Bentley Systems

Replaces "constructioneering" as the definition for the AI-driven design and technology phase

CONSTRUCTIONEERING was the word coined by former Bentley Systems CEO Greg Bentley some seven years ago to define the age of the digitalization of design. This has accelerated its transition from traditional manual infrastructure modeling toward an automated engineering ecosystem, heavily integrating artificial intelligence into its core platforms.

The shift, which the company now defines as "infrastructure AI," aims to automate repetitive design tasks, improve spatial context, and eliminate data silos across large-scale public works projects. By embedding context-aware automation directly into software that engineers use daily, the company is changing how transportation networks, utility sites, and major structures are designed and maintained globally.

At the center of this transition is Bentley Copilot, a context-aware AI assistant now embedded directly inside foundational engineering tools including OpenRoads, OpenRail, and ProjectWise. The assistant acts as an active digital peer, guiding engineers through complex, multi-layered workflows and automatically surfacing hidden project documentation that might otherwise remain buried in massive data silos. Beyond simply answering technical queries, the tool possesses the capability to directly modify 3D engineering models based on natural language prompts, reducing the time required for iterative design adjustments.

This assistant is complemented by the rollout of OpenSite+, which serves as the first native generative AI application for site design. The software automates early-stage layout options, allowing engineers to test site configurations against environmental and geometric constraints in a fraction of the traditional time. Similar AI-driven enhancements have been applied across other core solutions, resulting in the introduction of new variants including SYNCHRO+ for advanced four-dimensional construction sequencing and Substation+ for optimized utility design.

To ensure these automated systems remain open and interoperable, the company recently published its STAAD Model Context Protocol server to the open Model Context Protocol Registry. The move reinforces a commitment to open-source data standards by allowing external AI agents to interact fluidly with structural analysis tools. The implementation enables machine-scale workflows where independent AI systems can safely query and analyze structural engineering data without requiring proprietary software wrappers or manual file conversions.

Data integration has also expanded through the convergence of geospatial information and digital twin technology, following the previous acquisition of Cesium. The company has heavily integrated 3D geospatial data directly into its iTwin Platform, blending real-world reality modeling with computer-aided design and building information modeling infrastructure data. The combination creates a highly precise digital twin that reflects exact real-world coordinates and conditions, allowing engineers to visualize how a proposed bridge, rail line, or highway behaves within its actual geographical environment.

The depth of this data pipeline extends into the operations and maintenance phase through a recent expansion of asset analytics capabilities. By acquiring Talon Aerolytics and the technical assets of Pointivo, the company has integrated drone data capture and computer vision directly into its ecosystem. Infrastructure owner-operators can now deploy autonomous drones to scan assets, allowing AI to identify structural anomalies, corrosion, or wear, which removes the need for hazardous manual inspections while tracking infrastructure resilience over time.

Financially, this aggressive software deployment aligns with a period of strong corporate growth driven by a resilient global infrastructure supercycle. The company reported a total revenue of 424.2 million dollars for the first quarter of 2026, representing a 14.5 percent increase year-over-year. The financial model remains highly predictable, with recurring subscription revenues accounting for over 92 percent of total intake at 392.5 million dollars, pushing annualized recurring revenue to 1.49 billion dollars. Growth is led heavily by public works, utilities, and a demanding resources sector, particularly in India and Australia, which has effectively offset a more muted infrastructure market in China. To sustain this momentum, the company paid off its maturing 2026 convertible notes to reduce its diluted share count by roughly 3 percent, while closing a new 550 million dollar term loan that expands total credit capacity to 1.85 billion dollars for ongoing research, development, and programmatic acquisitions.