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Awarded contract·City of Spokane·Washington

Pipeline Assessment for Likelihood/Consequence of Failure (LOF/COF) and Criticality

Won by Rezatec Global Inc.$750kAwarded 7/17/2026Single Award
Contract source

Awarded vendors

  • Rezatec Global Inc.

Description

The City of Spokane is procuring a machine‑learning‑driven GIS analytics platform to assess the likelihood of failure (LoF), consequence of failure (CoF), and overall criticality of its drinking‑water pipeline network. The vendor will deliver multiple GIS data layers, validation studies, a user‑friendly web portal, and ongoing annual updates for a one‑year term with the option to extend twice. The contract is awarded through a competitive IRFP process, with a firm‑fixed‑price structure evaluated on technical merit (65 %) and cost (30 %). • Scope includes development of LoF, CoF, and Criticality GIS layers, a certainty index, and supporting analytics dashboards. • Deliverables: platform deployment, desktop and field validation, training, quarterly support, and a Year‑One Findings Report. • Contract term: 1 year starting May 11 2026, with two optional one‑year renewals (max 3 years).

Attached files

Key dates

Bids closed
3/17/2026
Intent to award
7/17/2026
Awarded
7/17/2026
Starts
5/11/2026
Ends
5/10/2027Renews
Duration
1 year

Last updated

Details

Award type
Single Award
Procurement
Full and Open Competition
Industry
Water Management and Sanitation
NAICS
541330
Solicitation №
IRFP 6524-26

Contract value

$750,000

No explicit contract value is disclosed. Comparable municipal pipeline risk‑assessment contracts that include ML model development, GIS data layer creation, a web‑based analytics portal, training, and one‑year of annual updates typically range from $500,000 to $1,000,000 depending on scope complexity and vendor rates. Considering Spokane’s extensive pipeline network (~1,170 mi) and the requirement for ongoing annual data ingestion, a reasonable midpoint estimate is approximately $750,000. Factors influencing this estimate include the need for specialized data scientists, GIS experts, software developers, and continued support services.

AI estimate from the award documents

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