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City of Stillwater·Oklahoma

Electric Utility Network Modeling Software and Implementation Services

Closes 2/25/2026$200k – $500kRequest for Proposal
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Description

The Stillwater Utilities Authority (SUA) is seeking proposals from qualified vendors to provide software and professional services for the conversion, modeling, validation, and long-term maintenance of the SUA's electric distribution network using the ESRI Utility Network framework. The project involves migrating existing geospatial data into an ESRI Utility Network-based model, performing data cleanup and validation, integrating with enterprise applications, and providing training and documentation. The selected proposer will work closely with SUA staff and provide all necessary software, professional services, implementation support, and training. Key aspects of the project include: • Data cleanup and validation • Utility Network design and migration • Enterprise integration • Testing and verification • Training and knowledge transfer The proposer should have relevant experience with ESRI Utility Network implementations and experience with electric utilities of similar size and complexity.

Attached files

The solicitation documents live at the source — open the bid source above to download them.

Contact

John McClenny

[email protected]

Key dates

Opened
1/31/2026
Questions due
2/18/2026
Closes
2/25/2026

Last updated

Details

Type
Request for Proposal
Industry
Information Technology and Software Development
NAICS
541512
Solicitation №
1-2026

Budget estimate

$200,000 – $500,000

The budget for this project is not explicitly stated in the document. However, based on the scope of work, which includes software and professional services for the conversion, modeling, validation, and long-term maintenance of the electric distribution network, the estimated budget could be in the range of $200,000 to $500,000. This estimate is based on the assumption that the project will require significant software and personnel resources, as well as ongoing maintenance and support. Factors that may influence the likely payment range include the complexity of the existing geospatial data, the number of features to be migrated, and the level of customization required for the ESRI Utility Network-based model.

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