Key benefits

• Reveal nearby restaurants, shops, and events with glowing AR signals
• Trending spots surfaced with live activity highlights
• Suggestions that appear naturally, based on time and context
• Occasional promos or local deals surfaced seamlessly in AR
• Blend exploration with guidance—finding what matters along your route

Experience overview

Contextual Discovery makes the world feel alive with information you actually care about. Instead of sifting through long lists or switching apps, relevant opportunities appear directly in your field of view. Cafés glow with subtle icons, events reveal themselves as floating banners, and trending places pulse with quiet signals.

It’s discovery designed to be natural, not overwhelming. Pass through a neighborhood at lunchtime, and dining options surface softly into view. Wander through a plaza at night, and cultural events or concerts highlight themselves above nearby venues. Every interaction is carefully balanced—guidance when you need it, silence when you don’t.

Core features

Location-Aware Insights
Nearby spots appear in AR only when they’re relevant to your journey.

Event & Deal Layers
Banners and subtle signals highlight what’s happening, from concerts to specials.

Personalized Context
Suggestions adapt to the time of day, your activity, and your preferences.

How it works

Contextual Discovery blends place data, activity signals, and personal context into a unified layer. Overlays appear only when useful and fade when they’re not, ensuring the world feels enhanced—not crowded.

Pipeline highlights

• Location sensing — awareness of nearby venues and activity
• Context filtering — prioritizing based on timing and relevance
• Subtle projection — signals displayed cleanly in your view, then dismissed

Validation process

Contextual Discovery has been shaped by real-world testing to stay useful without distraction.

• City trials — balancing clarity in dense urban centers
• Timing calibration — adjusting when and how overlays appear throughout the day
• Trust feedback — refining frequency so users feel informed, not overloaded