The startup provides video telematics systems that utilize neural network inference algorithms and machine learning to enhance the safety and efficiency of commercial vehicle fleets. By delivering real-time traffic alerts and monitoring distance and lane departures, the company enables fleet operators to optimize performance and increase average revenue per user (ARPU).
Funding
$9.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many commercial vehicle fleets lack comprehensive, real-time insights into driver behavior and road conditions, hindering their ability to proactively address safety concerns and optimize operational efficiency. Traditional telematics solutions often provide limited data, making it difficult to identify and mitigate risky driving patterns effectively.
Solution
RideView by LightMetrics offers an AI-powered video telematics platform that analyzes road-facing and driver-facing camera feeds in real-time to detect and alert drivers to risky behaviors such as distracted driving, drowsiness, and speeding. The edge-based AI processing minimizes data transfer costs and latency, enabling immediate in-cabin coaching and preventing accidents. The platform provides telematics service providers (TSPs) with a no-code solution that integrates with existing telematics systems, offering a rebranded portal, installer and driver apps, and a master portal for TSPs to manage the solution. RideView's hardware-agnostic approach supports a variety of dashcams across different price points, allowing TSPs to tailor solutions to diverse fleet needs.
Target Audience
The primary target audience includes telematics service providers (TSPs) and trucking OEMs seeking to offer advanced video telematics solutions to their fleet customers, as well as enterprise fleets looking to improve safety, reduce costs, and enhance operational efficiency.
Features
- Real-time detection of risky driving behaviors using edge-based AI, including distracted driving, drowsiness, tailgating, and lane drifting
- In-cabin coaching with voice and audio alerts to prevent accidents
- On-demand video retrieval for driver exoneration and protection against fraudulent claims
- Live video streaming for real-time visibility into driver activity and road conditions
- Driver coaching workflows to improve driver behavior and reduce risk
- Rebrandable dashboard and APIs for integration with existing telematics platforms
- Support for multiple dashcam models across various price points
- Automatic camera calibration and diagnostics for easy installation and device management