Custom Taxi App & Ride-Hailing Software
Geospatial matching engines, real-time dispatch systems, and fleet operations software engineered for sub-second responsiveness and extreme reliability under peak load.
On-Demand Mobility Engineered from First Principles
Building a ride-hailing or on-demand delivery app is an exercise in high-concurrency systems design. It requires coordinating multiple state machines, processing continuous location updates, and scaling databases to handle surge demand without degradation. At TESARK, we don't build generic templates; we design and implement custom, production-grade mobility systems from the ground up. Whether it is a regional taxi network competing with industry giants or a corporate dispatch system with complex billing, we deliver robust architectures that scale. Our engineering work on Utoo Cabs stands as a testament: 87 data models, a geospatial zone-pricing engine, and a decoupled multi-database structure designed to handle thousands of concurrent driver GPS updates seamlessly.
Core Capabilities
- Geospatial Matching Engine: Custom matching logic that queries available drivers within configurable radius boundaries, ranking them by estimated arrival time, vehicle type, and historical acceptance rates within seconds.
- Multi-Database Location Tracking: Decoupled database architecture separating high-frequency location pings (GPS updates every 3 seconds) from core business queries to ensure sub-second read performance on active bookings.
- Dynamic Geofenced Zone Pricing: Geofenced polygon coordinates mapping custom fare rules (base fare, distance fare, time-slice rates, night surcharges, and local tax structures) dynamically per sub-region.
- Fleet Operations & Yard Management: Comprehensive fleet dashboards tracking vehicle check-in/out schedules, fuel logging, maintenance warnings, driver-to-vehicle mapping history, and corporate billing profiles.