LanewayAI predicts residential electricity and gas costs from property attributes visible in any real estate listing. No meter data required.
Energy costs are one of the largest ongoing expenses for homeowners and renters, yet they remain invisible at the point of decision.
Moving into a home with no idea what the energy bills will be. A poorly insulated Victorian terrace can cost $3,000+/yr more than a modern equivalent.
No way to quantify or differentiate energy-efficient properties. Solar, insulation, and gas connections affect running costs but are never priced in.
Limited visibility into residential energy consumption patterns at scale. Hard to target electrification programs or measure intervention effectiveness.
From predicting utility bills to planning electrification pathways, LanewayAI covers the full residential energy picture.
Enter bedrooms, floor area, building era, and appliances. Get annual electricity and gas cost estimates with monthly breakdowns and confidence ranges — powered by 344 million smart meter readings.
Each property gets a tailored list of capital and behavioural recommendations — with estimated savings, upfront costs, government rebates, and payback periods. Overlap between measures is properly accounted for.
Translate energy consumption into Scope 1 (gas) and Scope 2 (electricity) emissions using state-specific grid intensity factors. Track portfolio-level emissions and model the impact of electrification pathways.
Whether you manage one property or thousands, LanewayAI gives you the energy data that has been missing.
Add energy cost estimates to listings. Differentiate energy-efficient properties. Provide buyers and tenants with running cost transparency before they commit.
Analyse residential energy consumption at suburb, municipality, or regional level. Target electrification incentives. Measure the impact of building standards and retrofit programs.
Understand customer-level consumption patterns without smart meter data. Identify high-value customers for solar, battery, or tariff optimisation products.
Rapid pre-assessment screening from listing data. Prioritise on-site audits by focusing on properties with the greatest upgrade potential.
Forecast running costs for new developments. Compare design scenarios — gas vs. all-electric, solar, insulation levels — to optimise energy outcomes and marketing claims.
From a property listing to a full energy report in under 30 seconds.
Bedrooms, floor area, building era, air conditioning, pool, gas connection, solar — the attributes visible in any real estate listing.
A 4-layer prediction model trained on 13,735 households and 344 million meter readings generates probabilistic energy forecasts with confidence ranges.
Annual cost forecast, monthly breakdown, end-use disaggregation, ranked upgrade recommendations, and GHG emissions — all in a downloadable PDF.
LanewayAI was founded on a simple idea: every home buyer, renter, and property professional should know what a home will cost to run before they commit.
We use machine learning and building physics to translate the attributes visible in any real estate listing — bedrooms, floor area, building era, solar panels, gas connection — into accurate annual energy cost predictions.
Our models are trained on one of the world's largest residential smart meter datasets and adapted to regional markets using local tariffs, climate data, and grid emission factors.
Whether you're listing one property or analysing thousands, LanewayAI gives you the data that has been missing.