W2C Analytics™
W2C Analytics turns water-system engineering data into auditable carbon, lifecycle-cost, NPV and break-even-risk signals for infrastructure decisions.
The missing financial layer in water-constrained infrastructure. A methodology-driven decision platform with AI-assisted data retrieval and planned predictive optimisation.
Built for infrastructure owners, developers, investors, and technical advisers operating in water-constrained markets.
Working prototype · Pre-commercial · Open to pilot discussions
The Problem
Water is a major, often-unpriced driver of carbon and cost in infrastructure systems.
In desalination-dependent regions, water-source decisions directly affect energy use, GHG emissions and operating cost, yet these effects rarely reach financial and investment models.
The Solution
W2C Analytics™ is a translation engine: it converts water-system engineering inputs into carbon, financial value, and investment risk signals. Decision-ready, not just disclosure-ready.
Water System Data
- Water demand and source mix
- Energy, tariffs and emission factors
- CAPEX, OPEX, project life and discount rate
GHG → Value & Risk Translation
- Energy and GHG quantification
- Lifecycle-cost and NPV modelling
- Scenario and break-even analysis
Decision Signals
- Energy and GHG intensity
- Lifecycle cost and NPV
- Cost efficiency and break-even risk
Module 01 includes an AI-assisted tariff lookup that queries configured authorised utilities (e.g. DEWA, ADWEA, FEWA), with a manual review-and-approval step before any value updates. Emission factors currently use cited reference datasets (IEA, FAO). Predictive optimisation, live source retrieval, API/BMS connectivity and automated live-data ingestion are planned for the production build. Core GHG and financial calculations remain methodology-driven and auditable.
W2C Defensibility & IP Strategy
W2C combines peer-reviewed science, proprietary software implementation and an active brand-protection strategy.
Published Science. Proprietary Execution.
The peer-reviewed methodology is implemented through W2C’s proprietary calibration rules, scenario logic, financial translation and platform workflows, which extend beyond what is disclosed in the academic publications.
Tested Through International Peer Review
The method and real-asset results have been evaluated through peer-reviewed academic research using calibrated operational data and engineering analysis.
Moving Beyond ESG Disclosure
W2C translates physical water-system performance into lifecycle cost, NPV and asset-level exposure thresholds: decision-ready outputs, not disclosure labels.
Scientific Foundation & Research Pipeline
A GHG Metric Methodology to Assess Onsite Buildings Non-Potable Water System for Outdoor Landscape Use
Established the asset-level GHG methodology for onsite non-potable water systems.
When Are Decentralised Non-Potable Water Systems Environmentally and Financially Viable? Evidence from a Water–Energy–GHG Evaluation of a Healthcare Facility in an Arid City
Applied the methodology to an anonymised healthcare facility, evaluating environmental and financial viability across alternative water-source scenarios.
Asset-Level Carbon Intensity as an Investable ESG Signal
Finance-focused manuscript and practitioner survey examining whether asset-level environmental metrics are useful in infrastructure and investment decisions. Survey analysis is planned for Q3 2026.
Applications
Current Focus: Infrastructure & Buildings · Prototype Use Case: Agriculture · Roadmap: Construction Materials
Infrastructure & BuildingsCurrent focus
- Compare desalinated and non-potable water-source strategies
- Quantify asset-level energy and GHG intensity (per m³)
- Model lifecycle cost and cost efficiency ($ per m³)
- Evaluate NPV and investment impact
- Identify the break-even source-mix threshold (α vs α*)
- Compare Baseline, Observed and Optimised scenarios
AgriculturePrototype use case
- Compare irrigation strategies and water-source mixes
- Quantify water productivity and GHG intensity per unit of output
- Model lifecycle cost and cost efficiency (per m³ and per unit output)
- Evaluate NPV and investment impact
- Identify the break-even source-mix threshold (α vs α*)
- Compare Baseline, Observed and Optimised scenarios
Construction MaterialsRoadmap
- Quantify water-related GHG inputs in concrete and material production
- Compare low-carbon production pathways
- Calculate GHG intensity per unit of material (kgCO₂e / tonne or functional unit)
- Evaluate lifecycle cost, NPV and break-even risk