Bentley Systems announced that the Hawaii Department of Transportation (DOT) has selected its Blyncsy asset‑analytics platform to support the state’s “Eyes on the Road” program, a partnership with the University of Hawaii that uses crowd‑sourced dash‑cam imagery and satellite data to detect roadway defects and prioritize maintenance.
Blyncsy leverages artificial‑intelligence and machine‑learning algorithms to process millions of images, automatically flagging guardrail damage, vegetation encroachment, debris, and other safety hazards. The solution builds on Bentley’s recent acquisitions of Talon Aerolytics and Pointivo technology and its partnership with Google, which provide high‑resolution imagery and advanced AI models.
The contract expands Bentley’s footprint in the public‑works sector and underscores its strategy to monetize AI‑enabled digital‑twins and subscription services. In the third quarter of 2025, Bentley reported a 12% year‑over‑year revenue increase to $375.5 million, driven largely by growth in its E‑365 subscription platform, and an ARR of $1.405 billion, a 10.5% rise.
Bentley’s Blyncsy platform has already delivered measurable savings for the Hawaii DOT. By automating highway inspections, the system is estimated to save the state $940,000 annually and reduce manual survey time by 95%. The DOT’s Transportation Asset Management Plan (TAMP) emphasizes a data‑driven, risk‑based approach, and Blyncsy’s analytics fit directly into that framework.
CEO Nicholas Cumins said, “AI is poised to transform infrastructure. At Bentley, our vision is for AI to empower infrastructure engineers—not replace them. Trustworthy AI, built on infrastructure context, can improve engineering productivity and transform workflows across project and asset lifecycles.”
Analysts have generally viewed Bentley’s AI strategy positively, noting the company’s strong subscription revenue growth and expanding ARR. The Hawaii DOT contract is a tangible example of the company’s ability to win large public‑works deals and reinforce its market position in AI‑driven asset management.
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