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ATTENTION PROSPECTIVE BIDDERS The Bid Documents may be obtained from Quest Construction Data Network (QuestCDN). The Districts has only authorized QuestCDN to distribute the Bid Documents, in electronic formats, for use by bidders. The Districts does not warrant the accuracy or completeness of Bid Documents obtained from any source other than QuestCDN, unless otherwise noted, and any use of such documents by prospective bidders or others for any purpose is solely at the bidders’ risk. Only those bidders that have obtained and properly downloaded the Bid Documents from QuestCDN will appear on the Planholders list and may submit a bid.

To obtain and download electronic Bid Documents, Plan Holders List, and Project Bid Results on QuestCDN for the projects listed below, click here.

Paper/Email submissions will not be accepted. Submissions will ONLY be received and accepted via the online electronic bid service through QuestCDN.com.

AI AND MACHINE LEARNING TOOLS FOR SEWER COLLECTION SYSTEM ANALYSIS

  • Department:Financial%20Management
  • Category:Request for Qualifications
  • Project Number:04237
  • Post/Advertise Date:03/18/2026 12:03 PM
  • Bid Date:04/24/2026 11:00 AM

Question Cut-Off Date: 04/10/2026

Pre-qualified vendors: GHD Inc., Jacobs Engineering, Sand Tech Inc., Stormharvester Utilities Ltd., and Trinnex Inc.

NOTICE IS HEREBY GIVEN that requests for proposals will be received by the Purchasing Agent of the Los Angeles County Sanitation Districts for AI AND MACHINE LEARNING TOOLS FOR SEWER COLLECTION SYSTEM ANALYSIS

 

DESCRIPTION: The Los Angeles County Sanitation Districts (Districts) invite interested parties to submit qualifications for providing machine learning (ML) and/or artificial intelligence (AI) tool(s) to evaluate and assist in managing the operation of the Districts’ wastewater collection system.

At a minimum, the proposed tool shall assist the Districts with:
• Identifying locations where inflow and infiltration (I&I) enters the sewer system and providing a ranking of flow meters exhibiting the most significant impact;
• Identifying and alerting flow meters in the collection system where flows have deviated from expected patterns, indicating that a wastewater collection system blockage may be developing or that a flow meter may require maintenance; and
• Displaying and storing this information on user-friendly dashboards to allow for real-time response and efficient analysis.

The Districts are also interested in tools that can:
• Integrate with InfoWorks ICM flow modeling;
• Predict the response of the sewer system to impending storm events and provide insights to inform operational decisions;
• Integrate additional data sources to visualize flow control devices and active construction projects; and
• Provide other AI/ML capabilities that assist the Districts with wastewater collection system management.
The anticipated agreement term is up to three (3) years, subject to annual mutual renewals.

 

To ensure the selection of the best-fit firms, the Districts intend to pre-qualify qualified vendors through this Request for Qualifications (RFQu). Firms that are pre-qualified may be invited to respond to a future Request for Proposals (RFP), which will include: 

  • A detailed scope of required services; and 

  • A performance-based demonstration of the proposed tool(s) using Districts’ data. 

 

This RFQu invites submittals for inclusion on the Districts’ pre-qualified Business Services Vendor List. The Districts reserve the right to pre-qualify none, one, or several firms based on the evaluation of qualifications, including relevant experience, quality of work, and available resources. 

 

A non-mandatory pre-proposal conference is scheduled for:

 

Wednesday, April 1, 2026, at 10:30 a.m.

Zoom Link: https://us02web.zoom.us/j/84949008445

 

To obtain and download electronic Bid Documents, please go to the following link: https://qcpi.questcdn.com/cdn/posting/?projType=all&provider=7047059&group=7047059

 

Any questions regarding this bid must be directed per the instructions listed within the bid package.

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