Razor Tracking, a leading multi-industry GPS fleet tracking platform, announced it is leveraging manufacturer-driven telematics from CerebrumX Labs Inc., a leader in automotive data solutions, to enhance fleet operations. By accessing high-quality, OEM-grade vehicle data, Razor Tracking’s Embedded Vehicle Data addresses visibility gaps and inconsistent data, while enabling low-latency, near real-time data delivery.

Using CerebrumX’s data-driven normalization algorithms, Razor Tracking’s Embedded Vehicle Data technology transforms raw vehicle signals into actionable, including:

  • Ignition on/off 
  • Odometer 
  • Diagnostic Trouble Codes (DTC)
  • Fuel levels 
  • Engine hours 
  • Geolocation 
  • GPS tracking
  • Direction of travel
  • Speed

CerebrumX’s platform delivers accurate, more reliable data streams across vehicle models and geographies, ensuring consistent, high-quality vehicle data for fleet operators. These capabilities benefit fleets across agriculture, municipal services, construction, and field operations.

“Fleet operators rely on data that is accurate, real-time, and actionable, not modeled or estimated,” said Sandip Ranjhan, CEO of CerebrumX. “By integrating our data, Razor Tracking demonstrates how manufacturer-powered, OEM-grade vehicle intelligence can deliver reliable insights, boost confidence, and provide scalable visibility for fleets.”

“Access to OEM-grade vehicle data is a major step forward for fleet intelligence,” said Eric Mauch, Managing Partner of Razor Tracking. “With CerebrumX’s embedded telematics capabilities integrated into our platform, we’re delivering more accurate insights and helping fleets operate smarter, safer, and more efficiently.”

Through its collaboration with CerebrumX, Razor Tracking’s Embedded Vehicle Data enhances its ability to deliver deeper operational transparency and smarter decision-making tools to fleet operators. The integration supports improved asset monitoring, proactive maintenance strategies, regulatory compliance, and overall performance optimization, while reducing the need for extensive hardware installations.


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