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
Gaurav Bubna drives product innovation at NextBillion.ai, bringing a track record of building category-defining products from the ground up across some of the world's most demanding logistics and mobility environments. His experience spans ride-hailing at Grab, food delivery and logistics at Ola, and financial technology at Morgan Stanley — giving him a rare combination of engineering depth and product instinct that directly shapes how NextBillion.ai's driver performance and fleet intelligence systems are designed. Gaurav co-founded NextBillion.ai in 2020 alongside Ajay Bulusu and Shaolin Zheng, channeling years of firsthand experience with the limitations of generic location APIs into a platform built specifically for the operational realities of global logistics businesses.

Co-Founder
Ajay Bulusu is a co-founder of NextBillion.ai and a key architect of the platform's vision to make enterprise-grade location intelligence accessible, customizable, and cost-effective for logistics and transportation businesses worldwide. Ajay's background in geo-technology at Grab — where he and his co-founders first identified the gap between what generic mapping APIs could deliver and what high-volume logistics operations actually needed — laid the foundation for NextBillion.ai's API-first, operator-centric approach. Since the company's 2020 launch, Ajay has been instrumental in growing the platform to serve 150+ businesses globally, navigating over 557 million miles and delivering $11+ million in customer cost savings.

Co-Founder
Shaolin Zheng is a co-founder of NextBillion.ai and a driving force behind the platform's technical architecture and geo-data infrastructure. Like his co-founders, Shaolin's formative professional experience was at Grab's Geo team, where the scale and complexity of real-world location data challenges in Southeast Asia's hyper-competitive ride-hailing and delivery market gave him a precise understanding of what robust, production-grade location technology must deliver. That experience directly informs NextBillion.ai's approach to driver performance analysis — building systems that handle noisy GPS data, irregular tracking intervals, and large-scale fleet operations with the accuracy and reliability that enterprise customers require. Shaolin continues to guide the engineering foundation of NextBillion.ai's expanding product suite.
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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