Ride Dispatch
Power real-time passenger-to-driver matching, routing, and dispatch workflows with infrastructure built for ride-hailing operators, taxi platforms, and mobility networks handling high-volume trip demand.
Optimize every ride from request to drop-off with NextBillion.ai’s routing, dispatch, live tracking, and fleet intelligence stack. Built for ride-hailing operators, taxi platforms, and ride-sharing services, the platform helps improve driver matching, ETA accuracy, in-app navigation, airport zone control, and cost predictability without the limits of consumer-grade mapping APIs.
Integrated APIs and optimization tools for real-time ride matching, dispatch, tracking, navigation, and operating-zone control.
Power real-time passenger-to-driver matching, routing, and dispatch workflows with infrastructure built for ride-hailing operators, taxi platforms, and mobility networks handling high-volume trip demand.
Calculate low-latency ETAs, travel times, and distances across massive origin-destination sets to match passengers with nearby drivers quickly and accurately.
Deliver real-time, traffic-aware turn-by-turn navigation through APIs and SDKs, helping drivers follow optimized routes directly inside your ride-hailing app.
Give passengers, dispatchers, and support teams real-time visibility into driver locations, route progress, deviations, idle events, and trip movement.
Define pickup zones, airport boundaries, restricted city-center areas, surge zones, and operational corridors with real-time entry and exit triggers.
Automatically assign or reassign drivers using dynamic inputs like location, shift timing, vehicle capacity, performance history, and proximity to passenger demand.
NextBillion.ai gives ride-hailing and taxi platforms the routing intelligence layer needed to compete at scale: sub-second matching, traffic-aware ETAs, driver navigation, live passenger tracking, geofenced operating zones, and predictable per-trip or per-driver pricing. Replace rigid consumer mapping limits with APIs engineered for mobility operations, regional hosting, enterprise security, and fast production rollout.
See how mobility, logistics, and fleet operators improve routing performance with NextBillion.ai.
Purpose-built location intelligence for mobility platforms that need speed, flexibility, and predictable economics.
Sub-second routing and matching infrastructure supports real-time passenger demand and driver allocation.
Per-trip, per-driver, per-order, or fixed-fee models reduce exposure to API-call spikes.
SOC 2 Type II, GDPR, CCPA, and ISO/IEC 27001:2013 support compliance needs.
Trial keys, solution engineering support, and marketplace availability accelerate production go-live.
Built by leaders from large-scale mobility and geo platforms.
Co-Founder
Ajay Bulusu is a co-founder of NextBillion.ai, bringing deep expertise in geospatial technology and large-scale location platform engineering. His journey began in 2017 as part of Grab's pioneering Geo team, where he helped build the location infrastructure underpinning one of Southeast Asia's largest mobility and logistics platforms. That experience revealed how critical — and how underserved — accurate, flexible location technology was for real-world operations. Driven by a mission to democratize sophisticated location intelligence, Ajay co-launched NextBillion.ai in 2020. Under his technical leadership, the platform has scaled to serve 150+ businesses globally, optimize over 10.9 million deliveries and field tasks, and deliver more than $11 million in documented cost savings to customers.
Co-Founder
Gaurav Bubna drives product innovation at NextBillion.ai, bringing a proven track record of building successful products from scratch across ride-hailing, food delivery, and logistics. Before co-founding NextBillion.ai, Gaurav held product leadership roles at Grab, Ola, and Morgan Stanley — organizations where location technology and operational efficiency are existential. His time on Grab's Geo team alongside Ajay and Shaolin crystallized the vision: logistics and field service businesses needed enterprise-grade location intelligence without prohibitive per-call pricing. Since launching NextBillion.ai in 2020, Gaurav has led the product evolution that has helped the platform navigate over 557 million miles and raise $34.25M in venture capital from investors including Lightspeed and Microsoft's M12.
Co-Founder
Shaolin Zheng is a co-founder of NextBillion.ai, contributing deep technical expertise in geospatial systems and scalable mapping infrastructure. Like his co-founders, Shaolin's formative experience building location technology for Grab's Geo team gave him firsthand insight into the operational gaps that generic mapping solutions leave unaddressed — particularly for field service and logistics businesses operating at scale. His engineering perspective shapes NextBillion.ai's core philosophy: location technology must be customizable, cost-predictable, and production-reliable. The platform he helped build now powers GPS tracking, route optimization, and field service intelligence for over 150 businesses worldwide, with on-premise deployment options and SOC 2 Type II and ISO/IEC 27001:2013 certifications ensuring enterprise-grade security.
Ride-hailing fleet management software coordinates the operational layer behind passenger trips, including driver matching, dispatch, ETA calculation, navigation, live tracking, and service-zone management. NextBillion.ai provides these capabilities through APIs and SDKs so taxi platforms, ride-sharing apps, and mobility operators can build reliable trip experiences without relying on generic consumer mapping infrastructure.
Talk to our mobility solutions team about your dispatch stack.
Controls for secure enterprise platform operations.
Information security management standard certification.
Rated across leading software review platforms.
Share your fleet size, trip volume, current mapping provider, and integration goals. NextBillion.ai’s solutions engineering team can help you evaluate APIs, test live scenarios, and plan a fast production rollout.
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