Add our Telematics SDK to your app to score driver risk with advanced analytics — identify your safest drivers and flag high-risk behavior.
Advanced safety features to protect your drivers and reduce risk.
Comprehensive safety scoring based on driving behaviors.
Real-time detection of harsh braking, acceleration, and cornering.
Personalized feedback to improve driver safety.
Monitor and manage safety across your entire fleet.
Select the parameters that matter most for your business and region.
Driving behavior analysis reveals actionable insights across your driver segments.
Safe drivers experience nearly 5× fewer road accidents than average drivers — even among younger drivers.
Driving behavior has a direct impact on accident risk and claim frequency. Research shows it’s measurable and can be improved with the right feedback and coaching — though not every type of intervention works equally well.
This creates opportunities for insurers and driving schools to improve the driver experience and launch solutions such as usage-based insurance (UBI) and a digital driving coach.
The product supports flexible observation windows — from one month to continuous monitoring.
A one-month observation period is typically enough to collect sufficient driving data and reach stable driver risk assessment results.
Telematics solutions use different monitoring windows — from 30 days to continuous driver monitoring. Our analysis shows that in about 1 month, you can reliably identify a driver’s driving style, even if they temporarily try to adjust behavior during the measurement period.
For more accurate annual mileage estimation, the scoring model usually stabilizes in 3–4 months. Since driving behavior changes over time due to lifestyle, location, or work shifts, we recommend keeping telematics monitoring active periodically to maintain an up-to-date driver risk score.
For most use cases, 3 months of monitoring is sufficient to achieve consistent, steady driving risk scoring.
Detect and score key driving risk events using smartphone sensor data and speed-limit enrichment.
Telematics SDK records the driver’s speed continuously and compares it with posted speed limits.
Speeding is grouped into events with a minimum duration of 3 seconds and a maximum gap of 5 seconds between intervals.
Phone usage is detected by an ML model.
Detected intervals are combined into events with a minimum duration of 3 seconds and a maximum gap of 20 seconds.
Phone axes are continuously adjusted to calculate accurate lateral acceleration.
Cornering events are created when lateral acceleration exceeds 4.2 m/s², with a minimum duration of 0.6 seconds and a maximum gap of 3 seconds.
Phone axes are continuously adjusted to calculate accurate acceleration in the direction of travel.
Acceleration events are created when acceleration exceeds 3 m/s², with a minimum duration of 0.6 seconds and a maximum gap of 3 seconds.
Phone axes are continuously adjusted to calculate accurate deceleration in the direction of travel.
Braking events are created when deceleration exceeds 3.2 m/s², with a minimum duration of 0.6 seconds and a maximum gap of 3 seconds.
Mobile telematics works worldwide from day one. Unlike GPS trackers, there’s no hardware shipping, import duties, logistics, or telecom setup. Launch faster — users simply download the app to start generating high-quality telematics data.
Mobile telematics is a SaaS-based approach, so there’s no need to purchase devices or cover telco fees, installation, maintenance, or replacements. Compared to OBD, mobile telematics can be up to 70% cheaper.
As a software-based solution, the Telematics SDK can be updated in hours — not months like hardware devices. Compared to OBD, mobile telematics can capture richer driving data and keeps improving as smartphones evolve.
Telematics data can be seamlessly integrated into external apps and systems, making it valuable for fleet managers, urban planners, researchers, and delivery platforms.
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