Platform / Network Analytics

Segment-level risk maps that prioritize where to act next

Watsynq's ML risk engine scores every pipe segment against break probability, calculates expected dig cost exposure, and surfaces the 5% of your network responsible for 60%+ of your break risk — so capital and crews go to the right place.

Risk model inputs

Thirty-two input variables. One risk score per segment.

The risk model combines physical asset attributes, operational history, soil and environmental data, and real-time telemetry to produce a 0–100 break probability score for each pipe segment, updated hourly.

Asset Attributes

Pipe material, diameter, year installed, joint type, lining status, previous break history, and rehabilitation records from your GIS and CMMS data.

Soil & Environment

USDA SSURGO soil corrosivity class, groundwater depth, caliche expansion index, seasonal temperature swing, and proximity to traffic loading corridors.

Pressure Telemetry

Transient pressure events, pressure variance over rolling 30-day windows, and hydraulic gradient anomalies — all weighted by segment-level exposure multipliers.

Climate Signals

Seasonal heat index, soil moisture deficit from ET calculations, and 90-day rolling temperature differential — critical for arid-climate systems where thermal cycling is the dominant failure driver.

Break Event History

Historical break records ingested from your work order system. Each break event recalibrates the segment's failure probability using a Bayesian update rule.

Cost Exposure

Expected annual repair cost per segment = break probability × material-adjusted excavation cost × demand criticality weight. Feeds directly into capital planning outputs.

Network risk map — segment risk visualization SEG-0447 Risk: 87 SEG-2190 Risk: 78 Low (0–39) Medium (40–69) High (70–100)
GIS risk map

Live risk layer, overlaid on your existing GIS

The risk map updates hourly. Color-coded segments let operations staff and capital planners see at a glance where risk is concentrating — without needing to understand the model mechanics.

  • Exports to Esri ArcGIS, QGIS, and AutoCAD Civil 3D
  • Customizable risk tier thresholds per your O&M standards
  • Capital priority shortlist: top 25 highest-exposure segments, one-click PDF
Capital planning integration

From risk score to capital plan

The Network Analytics module generates an annual capital priority report, formatted for presentation to utilities commissions and city councils.

Top 25
Segment shortlist for capital replacement — ranked by annualized expected cost exposure
5-Year
Rolling capital forecast with scenario analysis for different replacement rate assumptions
ROI
Avoided break cost analysis: shows capital plan payback period based on your historical break cost data
Get started

Network Analytics is included in every Watsynq tier, starting at Pilot.

Full ML risk scoring, GIS export, and capital planning reports — starting at $1,500/month for networks up to 200 segments. District tier expands coverage to 1,000 segments.