Opportunity
Santa Clara Valley Water District PlanetBids #VW0721
Santa Clara Valley Water District Seeks Machine Learning River Flow Forecasting Services
Posted
July 16, 2026
Respond By
August 28, 2026
Identifier
VW0721
NAICS
541690, 541330
The Santa Clara Valley Water District is seeking qualified firms to provide machine learning-based river flow forecasting services to enhance its operational water management capabilities. - Government Buyer: - Santa Clara Valley Water District, Purchasing Services Unit #820 - Scope of Services: - Provision of streamflow forecasts using machine learning methods to supplement traditional hydrologic models - Visualization and analysis of forecast data for operational use - Integration of forecasts into existing Valley Water tools - Optional development of a user-friendly web-based application or API for staff access to forecast data - Project management, performance reporting, and operational support, especially during the winter season (October 1 to April 30) - Notable Requirements: - Emphasis on experience and qualifications in hydrological and weather forecasting - Preference for small and local businesses - Robust insurance coverage (general liability, auto, professional, cyber, workers' compensation) - Compliance with licensing and certifications - Strict communication protocols - No specific OEMs or product part numbers are mentioned; the focus is on professional consulting and technical services - Prospective vendors include: APEX Environmental & Water Resources, Balance Hydrologics, Environmental Science Associates, Hydros Consulting, Sand Tech Inc., Upland Hydrogeology Consulting, among others
Description
This solicitation is for the provision of machine learning-based river flow forecasting services. The project involves providing streamflow forecasts using machine learning methods, visualizing and analyzing forecast data, and potentially proposing web-based applications. The contract term is initially two years with options to extend. The buyer is seeking qualified consultants to submit proposals electronically by August 28, 2026.