SolarCycle AI — Predict failures. Plan collections. Recover value.

3The demo

Same job, same truck — watch ours finish cheaper

Both trucks recover the same 1,980 kg. Red is today's reactive route; blue is SolarCycle AI. Only the routing strategy changes.

◌ Data provenancePhase 1 uses real public datasets for postcode-level solar installation context, product mix, and facility locations. Site locations, risk scores, collection status, and mass are illustrative demo scenarios — CER data only supports postcode-level install counts and age cohorts. Facility locations are real. Solar-specific acceptance and daily processing capacity are assumptions unless separately verified with the operator.

Reactive (today)SolarCycle AI

● Ready

Reactive (today)

Distance

142 km

Cost

A$312

SolarCycle AI

Distance

102 km

Cost

A$212

Press Run live demo to dispatch both trucks. Watch the blue route finish shorter and cheaper than the red one.

MetricReactive (today)SolarCycle AIGain

When you actAfter it fails~21 days earlyPredictive

DispatchOne job at a timeOne optimized planCoordinated

Route distance142 km102 km−28%

Cost per runA$312A$212−32%

Mass recovered1,980 kg1,980 kgSame

Asset recordNoneDigital passportProvable

● Realdepot & recycling centre locations (Cleanaway Laverton; Lotus Recycling, Campbellfield); postcode install counts & pre-2011 EOL cohort (Clean Energy Regulator)·◌ Illustrativesite risk scores, mass estimates, status, EOL windows, collection windows, route distances/costs, and facility processing capacity — all illustrative demo assumptionsSource: Cleanaway & Lotus Recycling (public sites); CER SRES postcode data (to Apr 2026); straight-line distances (OpenRouteService roads = future upgrade)

Same job, same truck — watch ours finish cheaper

Demo

Same job, same truck — watch ours finish cheaper