AI for energy and utilities, from sensor to app
OceanLab builds AI into energy products: optimising solar and battery use and turning device-level readings into insights people act on. The AI suggests and automates within limits people set. Every example below is a product we built.
OceanLab product builds
AI products we designed and built in this industry. Each one is a full case study with screens, scope and the rules it was built for.
Helio - Smart Solar & Storage App with IoT Sensor Network from Prototype to Production
Built a consumer iOS and Android app for solar generation, battery storage, EV charging and smart-home device control - backed by an IoT sensor network and AI optimisation engine. Shipped from clickable AI prototype to App Store in 16 weeks.
EnerWise - Whole-Home Energy & Smart Device Mobile App
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.
Where AI earns its place
Each use case names the builds that did it.
Solar and storage optimisation
A consumer app for solar generation, battery storage, EV charging and smart-home control, backed by an IoT sensor network and an AI optimisation engine.
Whole-home energy insights
Live device-level consumption from a circuit-clamp sensor network, turned into AI insights about where energy goes.
Smart automations
Automations across appliances that run on the readings, within the rules the household sets.
What to plan for
The rules that shape AI in this industry. General information, not legal advice: check with your own counsel.
Critical infrastructure is high-risk
The EU AI Act's Annex III lists AI used as a safety component in managing or operating the supply of water, gas, heating or electricity as a high-risk use case.
EU AI Act, Annex III (AI Act Service Desk), checked 2026-10-25
People set the limits
Secure the devices
Frameworks our AI builds here cite
From one workflow to production
- 01
Pick the workflow
We start from one workflow your team wants off its plate and agree what a working result looks like.
- 02
Clickable AI prototype
Your team tries the flow on a clickable prototype before any production code is written.
- 03
Production build
We build the production version, with the approval steps and records your industry needs.
- 04
Launch and improve
It goes live in your team's hands, and we tune it as real work runs through it.
Priced either way, whichever suits the work: outcome-based, paid per milestone, or hourly at $30-50 depending on role and seniority. More on AI automation →
Questions teams ask
What can AI do for an energy company?
Optimise when solar power is used, stored or sent to an EV, turn device-level readings into insights and run home automations inside limits people set. Each of these is a product OceanLab built.
Is energy AI high-risk under the EU AI Act?
Some is. Annex III lists AI used as a safety component in managing or operating the supply of gas, heating or electricity as high-risk. A home energy insight app is usually a different case. Check your own use case with counsel.
How is it priced?
Either way, whichever suits the work: outcome-based, where you pay per milestone, or hourly at $30-50 depending on role and seniority.
Keep exploring
Are you an AI lab looking for human training or evaluation data? That is a separate offer, OceanLab Labs.
