By XylemLearning Objectives
- Describe what Xylem Vue does and how it helps utilities run water and wastewater systems
- Explain how machine learning supports demand forecasting, model calibration, and water-loss control
- Identify what a water-network digital twin is and why utilities build one
What Is Xylem Vue?
Xylem Vue is a software platform for water and wastewater utilities, made by Xylem — one of the world's largest water-technology companies and a publicly traded firm on the New York Stock Exchange under the ticker XYL. Where much of Xylem's business is pumps, sensors, and physical water infrastructure, Xylem Vue is the digital layer that helps utilities operate that infrastructure intelligently. The platform brings network data together and applies machine learning to help operators forecast demand, calibrate their hydraulic models, control water losses, and build digital twins of their networks.
Derived in part from the GoAigua platform, Xylem Vue positions itself as an operational intelligence layer for the whole water cycle. In 2026 the platform pushed further into generative and agentic AI, extending beyond forecasting and optimization toward assistants and agents that can help operators query systems and act on recommendations.
💡Key Concept
Water-Network Digital Twin: A continuously updated virtual model of a water distribution or wastewater system that mirrors the real network's behavior. Fed by sensor and operational data, the twin lets utilities simulate scenarios, test changes before making them, spot losses, and optimize pumping and treatment — turning a static engineering model into a living operational tool.
What Xylem Vue Does
- Demand forecasting — machine learning predicts water demand to help operators plan pumping and treatment
- Hydraulic-model calibration — uses data to tune network models so simulations match real behavior
- Water-loss and leak control — analytics target losses across the distribution network to reduce non-revenue water
- Network digital twins — builds living virtual models of water and wastewater systems for simulation and optimization
- Operational intelligence — unifies data across the water cycle to guide day-to-day decisions
- Generative and agentic AI — a 2026 direction toward assistants and agents that help operators query and act
How AI Is Applied
Xylem Vue's AI is genuine machine learning applied across several utility workflows. For demand forecasting, models learn from historical consumption and operating patterns to predict future demand, which feeds pumping and treatment decisions. For hydraulic-model calibration, data-driven methods tune the network model so its simulated flows and pressures line up with what sensors actually measure — a task that is tedious and error-prone by hand. And for water-loss control, analytics comb operational data to flag where the network is losing treated water.
Underpinning much of this is the digital-twin concept: a data-fed virtual replica of the network that the analytics and optimization run against. The 2026 move toward generative and agentic AI adds a conversational and action-oriented layer on top, aiming to let operators interrogate the system in plain language and let agents assist with routine operational steps, while the underlying physics-based network model keeps the results grounded.
Who Uses Xylem Vue
Xylem Vue is used by water and wastewater utilities that want to run their networks more efficiently — from large metropolitan utilities to mid-sized operators. Its users include operations and control-room teams managing pumping and treatment, engineers maintaining hydraulic models, and utility leaders focused on reducing water loss and energy costs.
Pricing
Xylem Vue is enterprise software sold on a quote basis. Pricing depends on network size, the modules and analytics selected, and the scope of digital-twin and integration work. Utilities contact Xylem directly for a tailored quote.
Company Details
| Detail | Info |
|---|---|
| Company | Xylem |
| Ticker | NYSE: XYL |
| Headquarters | Washington, D.C. area, United States |
| Category | Water-utility operational intelligence and digital twin |
| Origins | Derived in part from the GoAigua platform |
| Website | xylem.com |
Strengths
- Backed by a water-tech leader — Xylem is one of the largest water-technology companies, giving the platform deep domain reach
- Full water cycle — spans demand forecasting, model calibration, water-loss control, and digital twins
- Genuine machine learning — applies real ML to forecasting and optimization, grounded in hydraulic models
- Digital-twin foundation — a living network model supports simulation and scenario testing
- Forward AI roadmap — 2026 push into generative and agentic AI extends the platform's capabilities
Limitations and Considerations
- Enterprise scope — aimed at utilities with the data and processes to support a platform deployment
- Data and integration effort — value depends on connecting sensor and operational data and maintaining the model
- Emerging agentic features — generative and agentic AI is a newer direction and will mature over time
- Change management — realizing benefits requires operators to adopt new digital workflows
Key Takeaways
- Xylem Vue is a water-utility operational intelligence platform from Xylem, applying machine learning across demand forecasting, model calibration, and water-loss control
- Network digital twins give utilities a living model to simulate scenarios and optimize pumping and treatment
- A 2026 push into generative and agentic AI extends the platform toward assistants and agents for operators
- Best for water and wastewater utilities seeking a broad, ML-driven operational platform from an established water-technology leader
