Legislation Details

File #: 26-953    Version: 1 Name:
Type: Consent Calendar Status: Agenda Ready
File created: 8/28/2026 In control: City Council and Authorities Concurrent
On agenda: 11/10/2026 Final action:
Title: Action to Delegate Authority to the City Manager to Execute an Agreement with cQuant.io, Inc. for a Generation Resource Modeling Software Solution for Silicon Valley Power for Maximum Compensation of $3,791,855 Over a Ten-Year Term
Attachments: 1. Proposed Agreement for Services with cQuant.io, Inc.
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REPORT TO COUNCIL

SUBJECT
Title
Action to Delegate Authority to the City Manager to Execute an Agreement with cQuant.io, Inc. for a Generation Resource Modeling Software Solution for Silicon Valley Power for Maximum Compensation of $3,791,855 Over a Ten-Year Term

Report
BACKGROUND
Silicon Valley Power (SVP), the City’s electric utility, relies on advanced modeling software to support effective resource planning and decision-making. This software supports a wide range of critical activities, including budgeting, financial forecasting, power supply portfolio management, resource planning, and project evaluation.

Modeling software also plays a critical role in risk modeling by enabling staff to identify, quantify, and analyze potential exposure to market volatility, regulatory changes, and operational uncertainties. These analyses support SVP’s risk oversight processes and ensure compliance with SVP’s energy risk policies.

SVP’s current modeling software does not provide the full range of analytical capabilities required for comprehensive portfolio management and long-term planning. Specifically, it lacks integrated risk modeling functionality needed to evaluate energy and natural gas price volatility and perform advanced scenario analysis. To address these gaps, staff initiated a competitive procurement process to acquire a more robust and modern modeling platform.

DISCUSSION
Pursuant to Section 2.105.140(d) of the Santa Clara City Code, a formal Request for Proposals (RFP) was conducted, with the award recommendation based on “best value.”

The RFP for a generation resource portfolio modeling software solution was published on the City’s e-procurement system. Two proposals were received by the proposal due date from Ascend Analytics, LLC. and cQuant.io, Inc.

A four-member evaluation panel reviewed the proposals, using the criteria published set forth in the RFP, including technical capabilities, system demonstrations, pricing, vendor experience, and indus...

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