Smart Safety Performance for Transit Operations

A regional transit and delivery network across 8 Northeast US locations with 1,800+ drivers. The operation faced a critical safety challenge: 82% of all incidents were attributed to preventable operator errors, generating 250+ claims annually at $320K+ and threatening insurance renewability.
Cylix built an AI safety analytics platform — centralizing data across locations, deploying predictive models for high-risk behavior patterns, and embedding real-time feedback into driver coaching to transform safety culture from reactive to proactive.
Solution Implemented
Problem Statement
Across the eight-location network, 82% of incidents are attributed to preventable operator errors, leading to over 250 claims annually and costs exceeding $320K, which threatens insurance renewability. Critical data remains fragmented across disparate systems—including telematics, incident reports, HR, and training platforms—limiting integration and preventing holistic root-cause analysis or meaningful trend identification. As a result, the safety team lacks predictive capabilities and operates reactively, addressing issues only after incidents occur rather than proactively preventing them.


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