Maps API
A logistics-optimized map rendering layer with custom styling, live vehicle overlays, geofence visualizations, and native integration with routing and tracking APIs — purpose-built for dispatch consoles and fleet dashboards.
NextBillion.ai delivers enterprise-grade Maps API solutions built for logistics, fleet management, and mobility platforms that have outgrown the cost unpredictability and rigid limits of Google Maps. From real-time vehicle tracking to geofence automation and custom road attribute control, our API suite gives product and operations teams the geospatial infrastructure to build faster, scale smarter, and pay less per query.

A complete geospatial API platform engineered for logistics, fleet, and mobility builders who need precision, scale, and predictable costs.
A logistics-optimized map rendering layer with custom styling, live vehicle overlays, geofence visualizations, and native integration with routing and tracking APIs — purpose-built for dispatch consoles and fleet dashboards.
Real-time, vehicle-specific turn-by-turn navigation with truck dimension compliance, custom road attribute support, and departure-time traffic intelligence for commercial fleets and driver apps.
Calculate travel times, distances, and ETAs between up to 5,000×5,000 origin-destination pairs in a single call — with truck-aware routing, custom road attributes, and per-vehicle pricing.
Sub-meter accuracy real-time location tracking for every vehicle and field agent, with offline mode, configurable alerts, mileage reporting, and native integration with route optimization workflows.
Define custom virtual boundaries as polygons or corridors, trigger automated real-time events on entry and exit, and power proof-of-delivery workflows, security alerts, and proximity-based dispatch.
Clean and align raw GPS traces to the actual road network, enriching them with speed limits, road attributes, and segment-level data for mileage reporting, driver behavior analysis, and compliance documentation.
Most enterprise logistics platforms hit the same wall: Google Maps pricing scales exponentially with request volume, the 25×25 matrix cap forces costly batching workarounds, and consumer-grade APIs have no concept of truck dimensions, custom road rules, or on-premise data residency. NextBillion.ai's Maps API suite is the purpose-built alternative — offering sub-second response times, matrices up to 5,000×5,000, full custom road attribute control, and predictable per-vehicle or per-order pricing that keeps costs aligned with your operations, not your API call count.

See how global logistics, delivery, and mobility platforms cut costs and scaled operations with NextBillion.ai.
Enterprise logistics teams choose NextBillion.ai for the capabilities Google Maps can't offer and the pricing models that actually protect margins at scale.
Per-vehicle and per-order pricing models eliminate the per-call cost explosions that hit logistics platforms during demand spikes and re-optimization cycles.
Process up to 5,000×5,000 origin-destination pairs in a single API call — no batching workarounds, no 25×25 ceiling that standard providers impose.
Dedicated solutions engineers available around the clock, with hands-on integration support and a one-week go-live timeline from trial to production.
Deploy the full Maps API stack within your own Kubernetes environment or private cloud for strict data residency, GDPR, CCPA, and SOC 2 Type II compliance.
The founders and team behind the world's most flexible enterprise mapping platform.

Co-Founder
Ajay Bulusu is a Co-Founder of NextBillion.ai, bringing deep expertise in geospatial technology and large-scale location intelligence systems. His journey began in 2017 as part of Grab's Geo team, where he witnessed firsthand how location technology underpins operational efficiency and customer satisfaction at a global scale. Frustrated by the rigidity and cost of existing mapping solutions, Ajay co-founded NextBillion.ai in 2020 with a mission to democratize enterprise-grade location intelligence. Under his leadership, NextBillion.ai has grown into a platform trusted by 150+ businesses globally, optimized over 10.9 million deliveries, and delivered $11 million in cost savings to customers — establishing itself as the most capable and cost-effective alternative to Google Maps for logistics and transportation builders.

Co-Founder
Gaurav Bubna is a Co-Founder of NextBillion.ai and the driving force behind its product innovation. With a distinguished track record building industry-defining products from scratch at Grab, Ola, and Morgan Stanley, Gaurav brings rare cross-domain expertise spanning ride-hailing, food delivery, and logistics technology. He co-founded NextBillion.ai in 2020 alongside Ajay Bulusu and Shaolin Zheng after the three collaborated on Grab's Geo team, recognizing the gap between what enterprise logistics operations demanded and what existing mapping providers delivered. Gaurav's product philosophy — building solutions that are flexible, cost-effective, and genuinely tailored to operational realities — has shaped a platform now backed by $34.25M in venture capital and trusted by organizations including DoorDash, AB InBev, and Geotab.

Co-Founder
Shaolin Zheng is a Co-Founder of NextBillion.ai, contributing core technical and strategic leadership to the company's development as a premier enterprise mapping and routing intelligence platform. Like his co-founders, Shaolin's journey to NextBillion.ai began at Grab's Geo team, where the trio built mission-critical location technology for one of Southeast Asia's largest mobility and delivery ecosystems. That experience revealed a persistent market gap: businesses with sophisticated, large-scale logistics needs were being underserved by expensive, inflexible consumer-grade mapping APIs. Shaolin co-founded NextBillion.ai in 2020 to close that gap — building an API-first platform that has since navigated over 557 million miles, served 150+ global businesses, and in 2025 joined forces with Velocitor Solutions to expand its enterprise reach.
Google Maps API has a free tier limited to $200 of monthly credits, covering roughly 28,000 map loads or 40,000 direction requests. Beyond that threshold, costs scale on a per-call basis, which becomes expensive for logistics platforms with high request volumes, frequent re-optimization cycles, or large distance matrix needs. Enterprise logistics operations routinely exceed these limits, making per-call pricing a significant budget risk.
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