AI Utility Infrastructure Data Collection System

The Florida Municipal Power Agency (FMPA) seeks an artificial intelligence-enabled utility infrastructure data collection system that provides an end-to-end solution for GIS-ready utility system inventory and infrastructure data collection. The solution must utilize georeferenced imagery and/or spatial capture technologies to accurately document poles, attachments, conductors, equipment, and related assets across large service territories. The system shall support survey-grade or engineering-grade positional accuracy; automated detection, classification, and measurement of utility assets using AI or computer vision; and structured extraction of asset attributes compatible with GIS and enterprise asset management systems.

Key technical requirements include field data capture capabilities (vehicle-mounted, handheld, or pole-mounted methods) with GNSS/GPS accuracy specifications; height-of-attachment (HOA) measurement and clearance functionality; automated feature extraction for poles, attachments, transformers, streetlights, guy wires, and vegetation conflicts; and support for GIS integration including Esri ArcGIS Enterprise, ArcGIS Online, and Utility Network model compatibility. The solution must provide cloud-based and/or on-premises deployment options with cybersecurity certifications such as SOC 2 and ISO 27001, and demonstrate FedRAMP authorization if applicable. Proposers must clearly identify which capabilities are currently deployed in production, available but limited in scale, or planned for future implementation.

This is a joint solicitation on behalf of 31 FMPA member utilities located throughout Florida, from the panhandle to Key West. FMPA will enter into a Master Services Agreement with selected vendors, and individual member utilities will issue Purchase Orders to utilize services as needed. Sealed proposals must be physically received at the FMPA office or submitted electronically via Vendor Link by 1:30 P.M. EST on June 11, 2026. The proposal may potentially be funded with Federal Emergency Management Agency (FEMA) financial assistance, and all federal competitive selection and contractual requirements apply.

Proposers must provide detailed pricing for implementation, data capture and collection, AI processing, software licensing, training, support and maintenance, data storage, and optional emergent event services. A minimum of three utility customer references is required, demonstrating comparable system size and operational use cases. Evaluation criteria include experience with similar projects, availability and suitability of services, and pricing/fee structure. The proposal schedule indicates a recommendation of award estimated for July 10, 2026.