Ride-Hailing Dispatch
Real-time dispatch infrastructure for taxi platforms, ride-hailing operators, and ride-sharing services, combining proximity-based driver matching, route guidance, passenger-facing tracking, and traffic-aware ETAs.
Modern taxi operations in Aspen need more than basic dispatching—especially during ski season, airport transfer surges, and mountain weather changes. NextBillion.ai helps taxi and ride-hailing fleets match drivers, calculate traffic-aware ETAs, guide trips, track vehicles live, and manage pickup zones with enterprise-grade routing infrastructure built for reliability, scalability, and predictable operating costs.

API-first dispatch, routing, tracking, and mapping tools for modern taxi and ride-hailing operations.
Real-time dispatch infrastructure for taxi platforms, ride-hailing operators, and ride-sharing services, combining proximity-based driver matching, route guidance, passenger-facing tracking, and traffic-aware ETAs.
Automatically match drivers to passenger requests using location, shift timing, vehicle availability, performance history, customer preferences, and real-time conditions, with smart reassignment when demand changes.
Calculate real-time and historical travel times, distances, and ETAs across large origin-destination sets, supporting high-volume dispatch decisions without restrictive consumer mapping limits.
Give dispatchers and passengers real-time visibility into vehicle movement, driver status, route deviations, idle time, mileage, and geofence events through APIs and mobile SDKs.
Create virtual boundaries for airport pickup areas, restricted access zones, surge zones, depots, and service areas, then trigger automated alerts or workflow actions.
Provide commercial-grade turn-by-turn navigation for driver apps with traffic awareness, multi-waypoint routing, avoidance rules, custom road attributes, and mobile SDK support.

We start by reviewing your taxi fleet size, driver workflows, pickup zones, ETA needs, and Aspen-specific operating patterns such as airport trips, downtown congestion, hotel pickups, and seasonal passenger spikes.
Transportation and logistics teams use NextBillion.ai to improve visibility, control costs, and scale dispatch operations.
Built for transportation teams that need reliable routing intelligence, flexible deployment, and predictable costs.
Go live within one week with solution engineering support for Aspen taxi workflows.
A 99.9% uptime SLA supports time-sensitive passenger dispatch and live fleet visibility.
Per-trip, per-driver, and fixed-fee models reduce surprise costs during ski-season demand spikes.
SOC 2 Type II, GDPR, CCPA, and ISO/IEC 27001:2013 support regulated operations.
Geospatial leaders building enterprise-grade routing intelligence.

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.
Taxi dispatch software helps operators match passengers with nearby drivers, calculate accurate ETAs, guide drivers with turn-by-turn navigation, and monitor trips in real time. In Aspen, that can be especially useful during airport transfer peaks, ski-season surges, hotel pickups, and weather-related delays, where fast reassignment and visibility are critical for passenger satisfaction.
Talk with solution engineers about your fleet, app, and launch goals.
Enterprise controls for security and operational trust.
Internationally recognized information security management certification.
Strong customer feedback across top review platforms.
Share your fleet size, dispatch workflow, integration needs, and growth goals. NextBillion.ai’s solution engineers can help evaluate the right APIs, pricing model, and implementation path for your taxi or ride-hailing platform.
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