Argon
AI-driven asset planning for sewer and stormwater networks to optimize maintenance, guide capital investment, and minimize risk
Predictive asset intelligence that transforms inspection data into risk-based capital plans.
Argon transforms inspection, work order and GIS data into defensible maintenance, rehabilitation and capital plans. Using AI-based deterioration forecasting and advanced condition scoring, it guides utilities to understand current conditions, predict future risk and invest with confidence.
What Argon enables
The impact you can expect
Deliver improvements in maintenance efficiency, capital allocation and long-term system performance
reduction in sewer overflows through risk-based maintenance logic
reduction in targeted maintenance costs through optimized prioritization
Argon ingests CCTV inspections, asset attributes and operational data to calculate condition scores and identify defect patterns. AI models forecast deterioration and combine conditions data with consequence-of-failure to generate transparent risk scores across the network.
Using risk and deterioration forecasts, Argon recommends rehabilitation, reinspection and maintenance strategies while estimating costs, remaining useful life and lifecycle impacts. Utilities can model budget scenarios and see how funding levels affect system condition and risk.
Why utilities choose Argon
Designed specifically for sewer and stormwater networks — not adapted from generic asset tools.
Transparent deterioration models and configurable risk matrices support defensible decisions and clearly justify rehabilitation priorities.
Integrates inspection, work order and GIS systems to streamline planning and push recommended actions into maintenance workflows.
