EnerWise - Whole-Home Energy & Smart Device Mobile App
AI-Native Home Energy Insight & Control
Built an iOS and Android app that ingests live device-level consumption from a circuit-clamp IoT sensor network, surfaces AI insights and runs smart-control automations across appliances - shipped from clickable AI prototype to App Store in 12 weeks.
Most of our work is under NDA. Per agreement, we can share the work but not the company details - all names and identifying information shown here have been changed.
Impact
2 weeks scope, 2 weeks clickable AI prototype, 8 weeks production build with IoT integration.
Circuit-clamp IoT sensors stream per-appliance consumption (AC, fridge, lights, water heater) in real time.
AI insights and smart controls cut average household energy spend by 18% week-over-week.
Quick-control toggles for high-draw devices plus tariff-aware scheduling.
The Problem
EnerWise's customers had a smart meter and a vague monthly bill - but no idea which appliances were driving their costs, when their AC was over-running, or how to actually cut spend without changing behaviour blind.
Our Solution
We delivered a single mobile app that pairs with circuit-clamp IoT sensors, attributes consumption to each appliance, surfaces actionable AI insights, and lets users control devices and schedules from one screen - validated through a clickable AI prototype before any firmware integration.
The Challenge: A Bill Without Context
Smart meters tell you the total - they don't tell you why. EnerWise's users needed device-level insight to actually change behaviour.
No Device-Level Visibility
Smart meters reported aggregate usage. Users could not see which appliance was driving spikes or running outside its schedule.
Insights That Demand Action
Static charts don't change behaviour. Users needed AI insights that named the cause and suggested a one-tap fix.
Hardware Onboarding
Circuit-clamp sensors had to be paired and commissioned by non-technical residents. Onboarding had to be foolproof.
Tariff-Aware Scheduling
Australian tariff windows shift hourly. Smart-control automations had to respect tariffs, solar export and battery state.
Our Approach: 3 Phases in 12 Weeks
Discovery & Scope
Weeks 1–2: embedded with EnerWise's hardware, product and field teams. Mapped every flow from sensor pairing to daily insight to smart-control automation.
AI-Driven Clickable Prototype
Weeks 3–4: built a fully interactive iOS and Android prototype with mocked sensor telemetry and AI insights, so the team could click through every flow before any firmware integration.
Production Build & Launch
Weeks 5–12: shipped the production app for iOS and Android with live device telemetry, OTA sensor updates, AI insight engine, smart-control automations, and tariff-aware scheduling.
Why It Works: Outcome-Based Differentiation
Speed to Value
Most consumer energy apps take 9–18 months to ship to App Store. We delivered a clickable AI prototype in 4 weeks and a production app in 12, including IoT firmware integration.
AI-First Prototyping
Every flow - sensor pairing, insight delivery, smart-control automation - was validated in the prototype before any firmware touched a real circuit-clamp.
Single Accountable Team
Design, AI prototyping, IoT integration, mobile engineering and DevOps under one roof - no handoff between an app studio and a hardware integrator.
Outcome-Based Engagement
EnerWise paid for milestones and live functionality, not hours. Our incentives were tied directly to shipping an app that homeowners actually opened daily.
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