Product / Mobile · 2026
Sezy — Seychelles Discovery App
Seypro's own product. A native iOS + web app for finding businesses, beaches, and places across Seychelles — built in-house to prove the stack and fill a genuine gap.
Quick answer
What did Seypro build for Seypro (in-house)? Web app live. Native iOS in development. Live at sezy-fibaagents-projects.vercel.app (opens in new tab). Stack: Swift, SwiftUI, iOS 26, React, Next.js, TypeScript. Part of our Software Development and Artificial Intelligence practice.
1,568
Places indexed across 3 islands
109
Beaches catalogued
Live
Web app at sezy.sc (preview)
In dev
Native iOS app (pre-App Store)
The brief.
Seychelles has no working general business directory — tourists and locals alike navigate by word-of-mouth and outdated PDFs. Sezy is Seypro's own attempt to fix that: a freemium discovery app covering businesses, beaches, and services across Mahé, Praslin, and La Digue. The engineering brief was intentionally demanding — native iOS (not React Native), iOS 26 Liquid Glass, on-device and API-driven AI search, and a web companion — so the product could double as a live proof of our mobile capability.
How we built it.
We built two platforms in parallel: a Next.js/React web app (live) and a pure SwiftUI iOS app (in development). The dataset — 1,568 places and 109 beaches — is sourced from OpenStreetMap (© OpenStreetMap contributors) and structured for proximity search via CoreLocation. The AI natural-language search ("Ask Sezy") uses Claude Haiku. The iOS app is built to the iOS 26 Liquid Glass design system with MapKit maps, App Intents / Siri Shortcuts, Spotlight indexing, a home-screen widget, and WeatherKit integration.
What Sezy is
Sezy is a Seychelles discovery app — "find anything around you in Seychelles": eats, stays, shops, services, beaches, things to do. It targets both tourists and locals. Businesses get free listings; owners pay to claim and manage a storefront. The web app is live. The native iOS app is in development and not yet on the App Store.
The dataset
1,568 places and 109 beaches across Mahé, Praslin, and La Digue, structured from OpenStreetMap data (© OpenStreetMap contributors) and normalised for proximity queries. Categories span food and drink, accommodation, retail, services, attractions, and beaches.
Native iOS — SwiftUI on iOS 26
The iOS app is a pure SwiftUI build — not a React Native wrapper — targeting the iOS 26 Liquid Glass design system. CoreLocation powers the "near me" proximity search. MapKit renders the map surface. App Intents wire into Siri Shortcuts so users can ask for nearby places by voice. The app is Spotlight-indexed so results surface from the home screen search.
- SwiftUI with iOS 26 Liquid Glass — native, not cross-platform
- CoreLocation proximity — "near me" search without a backend round-trip
- MapKit — interactive place map with pins, clusters, and detail overlays
- App Intents / Siri Shortcuts — "Hey Siri, find a restaurant near me in Sezy"
- Spotlight indexing — places searchable from the iOS home screen
- Home-screen Widget — glanceable nearby highlights
AI natural-language search
"Ask Sezy" lets users search in natural language — "something with a sea view for lunch" or "kid-friendly activities near Grand Anse". Claude Haiku processes the query and maps it to the structured dataset, returning ranked results with a brief explanation. This runs via the Anthropic API; no local model required.
Web app + owner portal
The web companion (React/Next.js) is live and covers the same dataset. It includes an accounts layer — tourists can save places; business owners can claim their listing, update details, and manage their storefront. The owner claim/portal flow is the freemium revenue mechanism: free to list, paid to manage.
Sezy is the proof, not just the pitch. When a client asks whether we can build a native iOS app with AI search, MapKit, and iOS 26 Liquid Glass — we point here. It's in-house, in progress, and the engineering is real.
Stack
SwiftSwiftUIiOS 26ReactNext.jsTypeScriptMapKitCoreLocationApp IntentsWeatherKitAnthropic Claude HaikuOpenStreetMap
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