How LADWP Improves Infrastructure Visibility with Ubicquia Asset Intelligence

Los Angeles Department of Water and Power (LADWP) uses Ubicquia's Street Audit capabilities to build a trusted source of truth for infrastructure records — combining high-resolution field imagery, AI-assisted asset classification, and GIS verification. The initiative supports pole audits, streetlight billing verification, illegal attachment identification, NESC compliance reviews, and storm response — improving the reliability of data used across multiple operational teams.

The core problem: utilities depend on accurate infrastructure records for planning, billing, compliance, and operational decisions. But field conditions change constantly — assets are replaced, attachments added, ownership records evolve, and infrastructure ages. When databases fall out of sync with real-world conditions, decisions get made with incomplete information. For a large utility like LADWP, the scale of assets makes traditional field verification prohibitively expensive.

The challenge: managing thousands of assets you can't continuously see

LADWP manages thousands of poles, fixtures, attachments, and related assets across its service territory. Teams need reliable infrastructure information not only for day-to-day operations but also for long-term planning, billing verification, compliance reviews, and infrastructure investment decisions. Static databases and GIS systems remain essential — but on their own, they can't keep pace with the physical reality of the network.

The solution: field intelligence with AI-assisted asset classification

Ubicquia's Street Audit approach combines vehicle-mounted high-resolution imagery with AI-driven asset classification, GIS verification, and field intelligence — creating a more complete and current understanding of infrastructure. For LADWP-related initiatives, the effort focused on pole assets, fixture inventories, attachment conditions, ownership records, and infrastructure data used by multiple operational teams.

By combining field-based observations with digital asset records, the organization moves closer to a trusted source of truth for infrastructure decision-making — one that improves in accuracy over time rather than degrading between manual audit cycles.