Heliix
Visit tryheliix.com →AI-powered vehicle inspection for the field
Vehicle inspection is a field job. Inspectors work in parking lots, under direct sunlight, on poor connections, often alone. The existing tooling treated them like they were at a desk. Heliix was built to meet them where they actually are.
My role was to design the mobile experience — from first camera frame to final damage report. That meant building a capture flow that feels instant, an AI feedback layer that communicates clearly under pressure, and an interface that works with one hand while holding a clipboard with the other.
Camera UX
Designed the full capture flow — guided framing states, real-time damage detection overlays, and confidence indicators that tell the inspector exactly what the AI is seeing.
Mobile Architecture
Mapped the complete inspection flow across iOS and Android, keeping parity where it mattered and respecting each platform's native conventions where it didn't.
AI Feedback Layer
Built the visual language for surfacing AI output in real-time — severity classifications, bounding boxes, and a confidence system that earns trust instead of demanding it.
Offline-First Design
Designed for field conditions: poor connectivity, glare, one-handed use. Every state — loading, syncing, error — was accounted for before a line of code was written.
6→3
Steps in the capture flow
0→1
Mobile product shipped
A mobile inspection tool that works for people who can't afford for it not to — reducing friction at every step without removing the detail that makes the data valuable.
The best camera UX disappears. You stop thinking about the app and start thinking about the car.
