Lumasis case study cover — gradient wordmark and glass track UI on dark background
Company
Glydways
Project
Lumasis Design System
Role
Principal Designer
Solutions
Design System
Interaction Design
Live Activities & Applications
AI Platforms: Operating Command & Control
Vehicle Software
Micro-Interactions
Year
2024–2026
Overview
Lumasis is an AI-first interaction design system for mass transit, designed to unify digital + physical touchpoints—signage, kiosks, mobile/web, on-vehicle UI, service alerts—into one coherent, scalable language.
Problem
Transit environments are high-stress, high-motion, and increasingly multilingual. Riders and operators need information that is immediately legible and behaviorally consistent across channels, especially during disruptions.
Goal
Build a system that doesn't just standardize UI—it calmly guides people through complex environments and makes advanced autonomy easier to understand across product, operations, and storytelling.
A living system where light flows through — a refuge of clarity in complexity, over an image of an autonomous transit vehicle in a neon-lit tunnel
Core Thesis

Lumasis is a behavioral system with internal logic rooted in how machines see, sense, and decide—turning perception into the foundation of the visual language.

Lumasis design system: color palette, iconography, typography, and vehicle interface tiles
Dark glass material reference: opacity and refraction swatches
Lumasis design system detail — visual system overview from Figma
Lumasis design system detail, secondary view from Figma
OCC vision system composition showing AR-overlaid lane guidance readouts A1 and B4 with LiDAR point-cloud data
Glydways monitoring station dashboard with system controls, active tickets, and vehicle status list alongside the vehicle track diagram