End-to-End Utility Transformation
AquaTwinX unifies trusted data, advanced modeling, digital twins, governed AI, and dynamic planning for water and wastewater utilities.
Begin with one consequential decision. Build the data, engineering intelligence, applications, governance, and workforce required to improve it.
Trusted Data → Connected Intelligence → Decision-Ready Utility
The Operating Idea
Data establishes context; models represent system behavior; digital twins connect history, current performance, and possible futures; governed AI assists analysis; and scenario planning translates evidence into operational actions and capital priorities across drinking water, wastewater, stormwater, and water reuse.
Transformation Pathway
AquaTwinX is not a disconnected dashboard or isolated AI product. The operating model connects data foundations, engineering analysis, governed applications, organizational adoption, and measurable decisions.
Catalog systems, assets, documents, models, ownership, quality, lineage, and decision requirements.
Resolve identifiers, improve data quality, connect authoritative systems, and preserve governance.
Apply hydraulic, hydrologic, water-quality, risk, and planning models with visible assumptions.
Deploy digital twins, AI agents, KnowledgeGPT, asset intelligence, and decision applications.
Support operational, maintenance, capital, and executive decisions—and measure the resulting value.
Core Capabilities
Connect telemetry, infrastructure data, operating rules, and engineering models across drinking water, wastewater, stormwater, and water reuse to understand facility-to-network interactions before action is taken.
Give teams traceable access to design standards, master plans, engineering reports, consent decrees, permits, SOPs, regulatory requirements, asset records, and institutional knowledge.
Prioritize water-main renewal, sewer rehabilitation, drainage improvements, facilities, pump stations, and reuse infrastructure using risk, performance, regulatory exposure, resilience, community impact, and capital constraints.
Provide controlled plain-language access to approved water, sewer, stormwater, and reuse model workflows while engineering teams retain responsibility for configuration, assumptions, validation, and use.
Integrate inventory, inspection, condition, work-order, operating, and consequence data for horizontal networks and vertical facilities to support risk forecasting, maintenance priorities, and capital-program development.
Evolve static planning reports into an adaptive decision environment connecting current performance, growth, climate, operational constraints, deterioration, regulation, project sequencing, and finance.
Use governed, task-specific agents for data validation, model preparation, calibration support, scenario execution, exception detection, document review, compliance tracking, and recurring reporting.
Intelligence Platform
AquaTwinX connects the utility's physical system with its engineering models, enterprise data, knowledge base, and decision workflows.
Utility Impact
Move from fragmented searches and specialist queues to evidence-backed answers at the point of decision.
Combine engineering judgment with models, asset intelligence, and AI—not disconnected dashboards.
Create repeatable workflows, governed knowledge, and durable institutional capacity.
One Water Engineering Portal
Use transparent engineering tools and planned laboratories for water distribution, sewer capacity, stormwater hydrology, treatment and pumping, water reuse, and lifecycle evaluation. Every result retains visible assumptions, limitations, and professional-review requirements.
Run available preliminary calculations and explore planned sewer, stormwater, reuse, energy, and lifecycle modules.
Explore the laboratory ↗02 · LEARNComplete guided lessons in GIS, hydraulic modeling, and AI for water utilities—with saved progress.
Start learning ↗03 · APPLYStudy real-world workflows for digital twins, governed knowledge, and dynamic capital planning.
Review cases ↗Guidance & Directives
Official guidance and directives supporting responsible digital transformation, data sharing, artificial intelligence, digital twins, and cybersecurity.
A cross-sector framework for governing, mapping, measuring, and managing risks associated with artificial-intelligence systems and their use.
AI GOVERNANCE · RISK · ACCOUNTABILITYOpen official resourceSector-specific resources for assessing exposure, strengthening cyber hygiene, protecting operational technology, and improving incident preparedness and recovery.
CYBERSECURITY · OT · RESILIENCEOpen official resourceWater-utility resources for risk management, assessment, regulatory awareness, and implementation of practical cybersecurity controls.
UTILITY PRACTICE · AWIA · RISK MANAGEMENTOpen official resourceEducation & Continuous Learning
Practice-oriented learning for engineers, utility professionals, students, and technical leaders. The curriculum connects engineering fundamentals with contemporary geospatial, modeling, artificial intelligence, and transformation practices.
Structured practice, persistent performance records, topic diagnostics, and readiness forecasting for the PE Civil examination.
Develop applied geospatial capability for asset inventories, network analysis, risk mapping, field workflows, and infrastructure planning.
Build practical competency in model development, calibration, scenario analysis, planning, and engineering decision support.
Learn the analytical foundations required to prepare data, develop predictive models, evaluate performance, and communicate uncertainty.
Translate artificial intelligence into governed, explainable workflows for operations, planning, asset management, and customer service.
Create an implementation pathway that aligns data, people, governance, technology, and measurable utility outcomes.
Use guided Digital Twin Lab scenarios to understand how facility operations affect networks, customers, risk, and recovery across the complete urban water cycle.
Foundational instruction → applied exercises → performance evidence → targeted development
Integrated Use Cases
Each workflow begins with an operational or planning question, combines approved data and models, and concludes with a reviewable decision record.
WorkflowConnect demand, tank, pump, valve, and network-model information.
Decision supportedSupport operating changes, isolation strategy, and service-impact evaluation.
Benefit: improved visibility, preparedness, and defensibilityWorkflowEvaluate I&I, wet-well response, surcharge, interceptor capacity, and mitigation scenarios.
Decision supportedSupport operational response and rehabilitation priorities.
Benefit: improved visibility, preparedness, and defensibilityWorkflowTest rainfall, conveyance, outfall, gate, detention, and pump conditions.
Decision supportedSupport severe-weather operations and drainage investment.
Benefit: improved visibility, preparedness, and defensibilityWorkflowCompare reuse demand, treatment output, storage, pumping, and potable-water interactions.
Decision supportedSupport supply allocation and operating strategy.
Benefit: improved visibility, preparedness, and defensibilityWorkflowCombine supply, collection, drainage, reuse, asset risk, growth, climate, and finance scenarios.
Decision supportedSupport sequenced, resilient cross-sector investment.
Benefit: improved visibility, preparedness, and defensibilityBuild the Next Operating Model
Begin with a platform demonstration, a defined use case, or a focused utility pilot. AquaTwinX can also develop Academy training and customized simulation laboratories using approved utility datasets and models.