Snap-to-Road API
Correct noisy GPS traces by aligning them to actual road segments. Enables accurate detection of speed violations, illegal maneuvers, and route deviations at the segment level for reliable driver behavior scoring.
Gain complete, data-driven visibility into how every driver operates on the road. NextBillion.ai's Driver Performance Analysis System transforms raw GPS and telematics data into actionable behavioral insights — covering speed violations, route deviations, idle time, and compliance — so fleet managers can coach smarter, reduce costs, and keep operations running at peak efficiency.

A complete suite of location intelligence tools to monitor, analyze, and improve driver behavior across your entire fleet.
Correct noisy GPS traces by aligning them to actual road segments. Enables accurate detection of speed violations, illegal maneuvers, and route deviations at the segment level for reliable driver behavior scoring.
Rebuild complete, road-snapped trip records from raw GPS pings. Compare actual routes driven against planned routes to quantify deviations, identify non-compliance patterns, and produce audit-ready journey documentation.
Monitor every driver in real time with sub-meter location accuracy. Receive automated alerts for speeding, excessive idling, unauthorized movement, and geofence violations to enable proactive intervention before issues escalate.
Define custom virtual boundaries around depots, delivery zones, and restricted areas. Automatically log arrival and departure events and trigger alerts when drivers operate outside authorized territories or time windows.
Match drivers to tasks using dynamic parameters including location familiarity, performance history, shift timings, and order priority — ensuring high-performing drivers are assigned to the routes that matter most.
Inject custom road rules — speed limit overrides, no-go zones, facility access permissions — directly into routing calculations. Ensure driver performance is evaluated against operationally accurate road constraints, not generic map data.
Raw telematics data alone cannot tell you whether a driver is truly performing safely and efficiently. NextBillion.ai's Driver Performance Analysis System processes GPS breadcrumbs through road-snapping, route reconstruction, and behavioral scoring layers to produce factual, segment-level records of how each driver actually operates. From identifying habitual speeders to auditing mileage reimbursement claims, the system gives fleet managers the evidence they need to coach drivers effectively, reduce fuel waste, ensure regulatory compliance, and build a safer, higher-performing fleet — at any scale.

See how leading logistics and transportation operators have improved driver performance, cut costs, and scaled with confidence.
NextBillion.ai delivers enterprise-grade driver performance intelligence with the flexibility, pricing transparency, and integration depth that logistics platforms and fleet operators actually need.
Snap-to-Road processing eliminates GPS noise, producing segment-level behavioral data defensible in compliance audits and insurance reviews.
Per-vehicle and per-order pricing means driver monitoring costs scale with your fleet size, not with API call volume or re-optimization frequency.
Dedicated solutions engineers provide hands-on onboarding, integration support, and ongoing assistance — not just documentation links.
Natively connects with Samsara, Geotab, Motive, and Netradyne telematics platforms, plus TMS and ERP systems, for seamless data pipeline integration.
Founders with deep real-world expertise in logistics, geo-intelligence, and mobility.

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.
The system ingests raw GPS breadcrumbs from vehicles, telematics devices, or mobile tracking SDKs. The Snap-to-Road API aligns these coordinates to the actual road network, eliminating GPS noise and drift. The Route Reconstruction API then assembles complete trip records, enriched with segment-level attributes like speed limits, road curvature, and actual vehicle speed — giving you factual, road-accurate behavioral data for every trip.
Talk to a NextBillion.ai solutions engineer for a personalized walkthrough and free technical consultation.
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Share your operational details and a NextBillion.ai solutions engineer will reach out to design the right driver analytics configuration for your fleet size, data sources, and compliance requirements.
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