Deadline Date: April 30, 2026
The Aqua-Intelligence Challenge invites solution providers to develop an AI-powered, real-time system for continuous water quality monitoring and management across KAHRAMAA’s distribution network.
The focus of this challenge lies in engineering and technology solutions aimed at enabling continuous, proactive water quality monitoring, integrating AI-powered analytics, predictive modeling, real-time alert systems, and scalable smart water management aligned with national sustainability goals.
KAHRAMAA is seeking to transform its current reactive water quality monitoring approach into a proactive, 24/7 intelligent system. At present, water quality assessment depends on manual sampling and laboratory testing, which delays detection and response. The proposed solution aims to replace this with a real-time, integrated platform that continuously monitors parameters such as pH, electrical conductivity, turbidity, chlorine levels, and temperature using industrial-grade sensors combined with advanced analytics.
This challenge offers funding of up to 365,000 QAR for a project duration of one year, with additional financial support of up to 100,000 USD available through QRDI depending on the proposed solution and agreement terms.
The envisioned system should unify water quality and contaminant data across the distribution network, enabling operators to access actionable insights through AI-driven dashboards. These dashboards are expected to provide instant alerts when water quality parameters exceed safety thresholds, along with historical trend analysis to support informed decision-making. The ultimate goal is to enhance public health, improve operational efficiency, and build customer trust through transparent and reliable water quality reporting.
While KAHRAMAA has already implemented smart meters for consumption monitoring, leak detection, and billing integration, the addition of continuous water quality monitoring introduces several technical and operational challenges. These include ensuring sensor reliability and calibration, integrating with existing SCADA and billing systems, managing costs for scalability, maintaining data accuracy to avoid false alarms, ensuring cybersecurity, and complying with international standards.
The solution must meet strict technical requirements, including rapid response times of under 60 seconds, long battery life of up to 10 years, high AI detection accuracy, and robust performance under varying environmental conditions. It should also support secure data storage, remote calibration, over-the-air firmware updates, and seamless integration with central systems through secure APIs. Compliance with global water quality, calibration, and cybersecurity standards is essential.
Additionally, the system should demonstrate strong economic viability by achieving a positive return on investment within one year. KAHRAMAA, along with its partners, will provide support through mentorship, access to pilot sites and data, technical assistance, regulatory facilitation, and potential funding support depending on the proposal.
For more information, visit QRDI Council.
