Helio
Energy data, turned into decisions.
Live prototype · click to explore
My role
Product Design · UX/UI · AI Interaction · Data Visualization · Functional Prototyping
Focus
AI recommendations · Scenario simulation · Data Visualization · Financial & environmental impact · Prototype
Overview
Helio turns energy data into decisions. Instead of forcing teams to interpret complex dashboards, it uses AI to understand a building’s energy consumption, weather, occupancy, tariffs, and equipment—and recommends what to do next.
01 / The challenge
Energy dashboards show everything and decide nothing. Teams are left to correlate consumption, weather, occupancy, tariffs and equipment by hand before they can act.
02 / The idea
Don’t show me the data. Tell me what I can do with it.
03 / The result
A functional prototype where a typical interaction reads: “Shift battery charging to 2–4am to reduce tomorrow’s energy cost by 18%.” Users explore the recommendation, simulate alternatives, and see the financial and environmental impact before taking action.
Outcomes
18%
Lower energy cost in a typical recommended scenario
6 weeks
From brief to functional prototype
2
Surfaces: operator dashboard and mobile