Snap-to-Road
Correct raw GPS traces by aligning them to actual road segments, reducing drift-related mileage errors and creating cleaner, audit-ready trip records for fleet reporting and reimbursement.
Automate fleet mileage tracking with road-accurate trip records, live visibility, and audit-ready reporting. NextBillion.ai helps fleet operators replace manual logs and noisy GPS data with cleaner mileage calculations, route reconstruction, and reimbursement workflows that scale across commercial vehicles, field teams, and telematics-connected operations.
Road-accurate mileage tools for tracking trips, validating routes, and automating fleet reporting across connected vehicles and driver apps.
Correct raw GPS traces by aligning them to actual road segments, reducing drift-related mileage errors and creating cleaner, audit-ready trip records for fleet reporting and reimbursement.
Monitor vehicles in real time with high-accuracy location data, offline tracking support, and automated mileage reporting that feeds fleet visibility, utilization analysis, and compliance workflows.
Create virtual boundaries around depots, customer sites, and service zones to automate arrival, departure, and dwell events that strengthen mileage validation and trip documentation.
Turn breadcrumb GPS data into complete trip histories that show roads taken, distances covered, and route deviations for defensible post-trip analysis and audit support.
Connect mileage tracking with telematics, fleet platforms, and enterprise systems including Geotab, Samsara, Salesforce, SAP, and Microsoft Dynamics 365.
Use enriched trip data to analyze productive drive time, idle time, route adherence, and driver behavior while improving reimbursement accuracy and operational reporting.
NextBillion.ai helps fleet operators move beyond manual logs and raw GPS noise with automatic mileage tracking built for commercial operations. By combining live tracking, snap-to-road correction, route reconstruction, and geofence events, the platform produces cleaner distance records for reimbursement, utilization reporting, compliance documentation, and driver performance analysis. It’s designed for fleets that need accuracy at scale without unpredictable API costs.
See how fleet and logistics teams improve mileage accuracy, visibility, and reporting with NextBillion.ai.
Built for fleets that need accurate mileage data, scalable infrastructure, and predictable operating costs.
Road-snapped trip records reduce GPS drift and improve mileage accuracy for audits and reimbursements.
Per-vehicle and per-order pricing avoids runaway API costs as fleet activity grows.
Trial access starts quickly, with production go-live possible within about one week.
SOC 2, GDPR, CCPA, ISO 27001, and on-premise deployment support enterprise requirements.
Experienced builders behind enterprise fleet 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.
Automatic mileage tracking uses GPS location data from vehicles, driver apps, or telematics devices to record trips without manual entry. NextBillion.ai improves that raw data by snapping traces to actual roads, reconstructing routes, and calculating distance from cleaned trip records. This creates more reliable mileage totals for reimbursement, utilization reporting, compliance documentation, and post-trip analysis across commercial fleets.
Talk with our team about your fleet data and reporting needs.
Validated controls for security and reliability.
Information security management standard compliance.
Strong reviews across top platforms.
Share your fleet setup, data sources, and reporting goals. Our team will help you evaluate the right tracking, reconstruction, and integration approach.
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