The startup offers an AI-based platform that enables water utilities to optimize the management of water and wastewater systems through data integration and advanced algorithms. By automating data analysis and simulation processes, the platform enhances the efficiency of engineers and planners, allowing them to effectively address complex operational challenges.
Funding
$220K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Water utilities face increasing challenges in providing clean water and managing wastewater due to population growth, climate change, and aging infrastructure. Effectively managing these complex systems requires integrating data from various sources, which can be difficult due to informational, conceptual, and geographic boundaries.
Solution
Confluency offers an AI-powered platform that enables water utilities and consulting engineers to optimize the management of water and wastewater systems. The platform integrates data from models, sensors, and other sources, leveraging advanced algorithms and machine learning to provide actionable insights. By automating data analysis and simulation processes, Confluency enhances the productivity of engineers, allowing them to make better decisions faster and address complex operational and planning challenges more effectively. The platform facilitates the operationalization of hydraulic models with real-time measurements and rainfall predictions, enabling advisory guidance and quantification of operational decisions.
Target Audience
The primary target audience includes water utilities, consulting engineers, and planners involved in the management, planning, and operation of water and wastewater systems.
Features
- Integrates data from hydraulic models, sensors, and other sources for a holistic view of water systems.
- Employs advanced algorithms and machine learning to identify patterns and optimize system performance.
- Provides a digital twin technology to combine models with real-time data for enhanced operational insights.
- Offers optimization techniques to identify the best solutions for challenging water management problems, considering hydraulic interactions.
- Facilitates offline optimization of water and wastewater systems and real-time optimization to minimize energy costs.
- Includes visualization tools for data-enabled insights in context.
- Supports model development and calibration, CSO control planning, green infrastructure prioritization, real-time control, flood risk analysis, alternatives analysis, and energy analysis.
- Provides automated modeling workflows and dashboards for efficient data management and analysis.