Alabama’s Department of Transportation (ALDOT) announced that it has entered into a contract with Bentley Systems to deploy the Blyncsy asset‑analytics platform across its 11,000‑mile roadway network. The agreement, signed on February 5 2026, will enable ALDOT to automate and standardize asset inspections, replacing labor‑intensive manual surveys with AI‑driven analysis of crowdsourced dash‑cam imagery.
Blyncsy’s core capability is the use of machine‑learning models to identify pavement defects, guardrail damage, and signage problems from millions of video frames. In pilot tests conducted in Alabama, the platform achieved a 97 % accuracy rate, a figure that exceeds the industry benchmark for automated inspection tools. The technology can reduce inspection costs by up to 90‑96 % and cut the time required to generate condition assessments from weeks to days, giving ALDOT a more precise, data‑driven basis for allocating maintenance funds and meeting targeted levels of service.
ALDOT has relied on a performance‑based budgeting framework for more than 15 years, but the new Blyncsy deployment will bring the system’s data analytics to the heart of that framework. By feeding real‑time condition data into its budgeting models, ALDOT can shift resources to the most critical assets, improve maintenance planning, and reduce the risk of costly emergency repairs. The platform’s ability to standardize inspections across the state also supports ALDOT’s goal of achieving consistent, objective condition assessments nationwide.
For Bentley, the contract adds a recurring revenue stream to its expanding AI‑enabled asset‑analytics portfolio. Blyncsy was acquired in August 2023, and the company has since integrated it into its iTwin‑based digital‑twin ecosystem. Bentley’s recent acquisitions of Talon Aerolytics and Pointivo technology in December 2025 further strengthen its position in the public‑works sector, positioning the firm to monetize AI‑powered solutions beyond traditional subscription software.
"Bentley’s Blyncsy solution helps us enhance our statewide survey by automating certain asset inspections," said Morgan Musick, Assistant Maintenance Management Engineer at ALDOT. "The technology gives us an objective snapshot of our roadway network, enabling us to adjust budgets based on actual asset conditions and ensure funding goes to appropriate maintenance activities to better reach a target Level of Service for each asset." Mark Pittman, Senior Director of Transportation AI at Bentley, added, "The future of infrastructure asset management depends on making financial decisions based on empirical evidence rather than historical precedent. By integrating AI‑powered asset inspection into its performance‑based budgeting process, ALDOT is setting a new standard for data‑driven infrastructure planning."
The partnership signals broader market acceptance of AI‑enabled asset analytics in the public‑works sector and underscores Bentley’s strategy to convert infrastructure assets into measurable performance outcomes. For ALDOT, the deployment represents a significant step toward a more efficient, data‑driven maintenance program that can adapt to changing asset conditions in real time.
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