Engineered a data and ML pipeline that turns tax data, satellite imagery and permits into home-level energy models, powering personalised energy-upgrade recommendations at scale.
Turning mixed public data into high-fidelity energy models is a massive optimization problem. Traditional home energy audits cost $300-$500 and require on-site visits, creating barriers for homeowners exploring efficiency upgrades.
Public and utility datasets vary widely by region, making modeling accuracy a challenge.
Homeowners distrust opaque algorithms. Transparency and explainability were required.
Crucial program logic was locked in code and required developer involvement for updates.
Data alone wasn’t enough. XeroHome needed a guided path to actionable improvements.
We rebuilt XeroHome’s pilot prototype into a scalable consumer platform that turns complex building science into a simple, gamified roadmap to Net-Zero.
Generates energy models instantly using only public tax & satellite data—no site visit required.
Interactive questionnaire lets homeowners verify and refine details, improving model accuracy.
Visualizes path to Net-Zero, comparing utility bills against potential solar/heat pump savings.
Matches upgrades with local IRA rebates and connects users to certified installers.
XeroHome transforms complex building science into actionable insights, helping homeowners understand their carbon footprint and make informed upgrade decisions.
A scalable architecture built for city-wide deployments and real-time energy modeling at scale.
Improvement in data processing pipeline enabling city-wide deployments.
Tax records processed per city deployment with real-time energy modeling.
Headless CMS enables non-technical content updates for rebates and programs.
We start every engagement with a 30-minute strategic conversation to assess your readiness and identify the highest-impact opportunities.