Dynamic Infrastructure, an Israeli startup, reported $1 million in revenue in 2025, with projections to triple that figure in the coming year, as governments from 13 US states adopt its artificial intelligence platform for managing public infrastructure. The company, founded in 2019 by Saar Dickman and Amichai Cohen, offers a system designed to speed up and improve the accuracy of fault attribution when infrastructure systems fail.
According to CEO and founder Saar Dickman, the platform assists civil engineers in processing large amounts of data to determine which infrastructure requires prioritized attention. This technology is being deployed in a context where, as Dickman noted, "infrastructure is aging and budgets are limited," allowing authorities and state transportation agencies to gain "clear visibility" into asset conditions and manage them "efficiently and proactively." The company reported a 100% contract renewal rate in 2025, indicating sustained public expenditure on its services.
Who Profits from Public Decay
The company’s expansion plans include targeting the Australian and European markets, with the stated objective of providing every public or county engineering and maintenance department with an AI-based “virtual engineer.” This “virtual engineer” is intended to work alongside professional teams, delivering "unprecedented force multiplication." This model allows for the extraction of surplus value from public funds by offering technological solutions to systemic underinvestment in public goods, while simultaneously increasing the output expected from existing labor.
Dynamic Infrastructure’s approach to liability places the burden on the infrastructure owner. Dickman explained that information processed by the platform is collected by a certified inspection engineer or a certified contractor, who is paid for their data. From that point, the infrastructure owner becomes liable, having paid for the inspection service and being deemed responsible for knowing the results. The platform, therefore, facilitates the processing of this information, creating a market for its services within a framework of shifting responsibility.
The State as Capital's Client
Arkansas is the latest state to adopt Dynamic Infrastructure’s technology for infrastructure analysis, joining governments from 13 other US states already utilizing the platform. This widespread adoption demonstrates the state’s role in channeling public resources towards private technological solutions, rather than addressing the root causes of "aging infrastructure and limited budgets" through direct public investment and employment. The state becomes a client for capital, ensuring its continued profitability by purchasing services that manage the symptoms of systemic neglect.
Dickman emphasized that the system is not entirely run by AI, with civil engineers revising the analysis at various points, adding an "extra layer of reassurance." He stated that the company does not aim to replace civil engineers but to serve as a "helping hand" in processing massive data, asserting that artificial intelligence can only support, not fully replace, engineers. This framing positions the technology as a supplement, yet the promise of "force multiplication" inherently implies maximizing output per worker, a mechanism for wage suppression or reduced labor demand over time.
Labor and the "Virtual Engineer"
One challenge in developing the system involved training the AI to differentiate between modern structures, with 30 to 40 years of data, and antique structures hundreds of years old. Dickman noted that once the system is trained using the company’s unique intellectual property, it operates smoothly. He cited an early development example where the system misidentified a red-haired woman on a bridge as rust, highlighting the human labor and expertise required to train and refine these supposedly autonomous systems. The development team included civil engineers, not just programmers, ensuring the AI learned what was necessary and how to correct errors.
Despite the claims of supporting engineers, the underlying economic logic of "unprecedented force multiplication" points towards a drive for greater efficiency and output without necessarily increasing the labor force or its compensation. This aligns with the broader trend of privatizing aspects of public service management, where private firms profit from providing technological fixes to problems created by the systematic underfunding of public infrastructure.