Delivered under non-disclosure. Names, architecture and metrics stay with the client — references on request.
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Complete ride-hailing platform: passenger app, driver app, and dispatcher panel — built for real-time matching, GPS tracking, and automated payments.
A complete taxi platform consists of three interconnected apps + a backend.
Book a ride, track driver in real time, pay online, rate the trip, and view ride history — iOS and Android.
Receive trip requests, navigate with turn-by-turn directions, accept payments, and track daily earnings — iOS and Android.
Web-based admin panel for manual order assignment, driver monitoring on a live map, fleet management, and reports.
Assigns the nearest available driver within seconds using geospatial queries, driver availability status, and ride preferences.
Online card payments via Stripe, in-app wallet top-up, and cash payment option — with automatic fare splitting for multiple stops.
Revenue reports, driver performance, peak demand heatmaps, and customer retention metrics — for data-driven operations.
Real-time GPS tracking with <1s update frequency
Automatic driver-passenger matching algorithm
Dynamic surge pricing configuration
Promo codes and referral program system
Driver rating and review system
In-app SOS button and ride-share safety features
Multi-zone pricing (airport, city center, etc.)
Offline mode for drivers in areas with poor connectivity
Platforms running real rides in real cities.
A regional entrepreneur wanted to launch a competing taxi service against the dominant aggregator that was charging 30% commission to drivers. Needed a full platform (passenger + driver + dispatcher) built and live before the summer season.
Full React Native platform: passenger and driver apps, real-time matching with PostGIS, Stripe payment integration, dispatcher panel, and driver onboarding flow. Built and deployed in 10 weeks.
200 active drivers onboarded in 60 days. 1,200 rides per day at peak within 3 months. Driver earnings up 22% vs. the aggregator due to lower commission. Platform profitable in month 4.
A 500-person holding company was using uncontrolled taxi bookings across departments — employees calling multiple services, no visibility into spend, frequent billing disputes, and no trip approval workflow.
Custom corporate taxi module: department cost centers, manager approval flow for non-standard trips, integration with existing HR system for employee authentication, and monthly consolidated billing report.
Transport spend down 28% in the first quarter. 100% trip coverage vs. 0% before (all trips now logged and attributed). Monthly billing disputes eliminated. Finance director approved permanent rollout.
A taxi startup that launched successfully in their home city needed to expand to 2 additional cities without rebuilding the platform or managing separate systems for each city.
Implemented multi-city architecture: city-specific pricing matrices, separate driver pools per city, city-admin roles in the dispatcher panel, and localized push notifications. All from the same backend.
Expanded to 3 cities in 6 months with zero platform rebuild. City 2 breakeven in 8 weeks. City 3 in 10 weeks. Combined platform: 520 drivers, 3,400 rides/day across all markets.
8–10 weeks
14–20 weeks
20–28 weeks
We define pricing zones, commission structure, driver verification flow, and payment methods for your market.
1 weekSystem design for real-time geospatial matching, WebSocket architecture, and payment flow — reviewed before development.
1 weekParallel development of all three apps (passenger, driver, dispatcher) with weekly integration testing.
6–18 weeksControlled launch with a limited driver pool. We monitor matching performance, payment success rate, and GPS accuracy.
2–3 weeksNo two briefs are alike — the requirements never are — so we design for yours instead of assembling from templates. Your names, architecture and numbers stay yours: an NDA is our default, not an exception. Send us yours before the first technical call and we will sign it.
Delivered under non-disclosure. Names, architecture and metrics stay with the client — references on request.
An MVP with passenger app, driver app, and basic dispatcher panel starts at $8,000 (8–10 weeks). A full platform with surge pricing, analytics, and advanced dispatcher tools starts at $18,000 (14–20 weeks). A white-label multi-city platform starts at $35,000 (20–28 weeks).
Yes. We use WebSockets for real-time communication between the passenger app, driver app, and dispatcher panel. GPS location updates every second, driver acceptance happens within 2–5 seconds of ride request, and trip status updates are instant.
Our matching engine uses PostGIS geospatial queries to find available drivers within a configurable radius. Drivers are ranked by distance, rating, and acceptance rate. The closest available driver gets the request first, with fallback to the next if not accepted within a timeout.
Yes. Our architecture supports multi-city and multi-zone configurations with city-specific pricing, driver pools, and zone-based surge settings. Each city can have its own pricing matrix, commission structure, and payment methods.
Drivers need internet connectivity to receive and accept trips. We implement an offline mode for drivers that allows the app to cache the current trip details in case connectivity is temporarily lost during a ride — navigation continues offline using cached map tiles.
Tell us your city, driver base size, and target launch date — we'll send a technical plan within 48 hours.