PATHEARN

Resources

Powered by AI technology, PATHEARN detects and captures all unique objects in the surrounding road environment and transfers all gathered data to a secured cloud database.

Resources

Powered by AI technology, PATHEARN detects and captures all unique objects in the surrounding road environment and transfers all gathered data to a secured cloud database.

PATHEARN avails with an established independent fixed and mobile data collection infrastructure that constantly generates data.

The global user base of PATHEARN collecting data and earning rewards while contributing to data collection.

The PATHEARN App Users

Engaging the global user base of our application for collecting location data presents a unique opportunity to gather real-time insights from diverse geographical locations. By leveraging the collective power of our users, we can collect a wealth of location data spanning various regions, cities and environments. This approach not only enhances the coverage and accuracy of our data but also fosters community participation and engagement. Furthermore, using the existing user base eliminates the need for additional infrastructure deployment and associated costs, making it a cost-effective solution for data collection. Overall, tapping into our worldwide user network enables us to build a comprehensive and dynamic location database that fuels innovation and drives value for our customers and partners.

Own Fleet

Utilizing our own fleet for collecting location data allows us to have direct control over the data collection process, ensuring accuracy, reliability and timeliness. This approach enables us to tailor data collection efforts to specific needs and requirements, optimizing efficiency and effectiveness.

Icon illustrating PATHEARN's fleet management solutions.
Illustration of B2B partners collaborating with PATHEARN for data collection.

B2B Partners

Leveraging B2B partners’ fleets for collecting location data presents a strategic opportunity to expand our data collection capabilities while minimizing operational costs. By collaborating with trusted partners, we can access a wider geographic area and diverse datasets, enhancing the richness and depth of our location data offerings. This approach also fosters mutually beneficial relationships, allowing us to tap into existing infrastructure and resources without the need for significant investment in fleet management. Ultimately, partnering with B2B fleets enables us to scale our data collection efforts efficiently and deliver valuable insights to our customers.

Infrastructure of Stationary Cameras

Utilizing stationary cameras as part of our infrastructure for collecting location data offers several advantages in terms of data accuracy, coverage and cost-effectiveness. By strategically placing cameras in key locations, we can capture real-time information about traffic patterns, vehicle movements and road conditions. This data can then be analyzed to derive valuable insights on various applications such as traffic management, urban planning and transportation logistics. Additionally, leveraging existing stationary cameras reduces the need for additional hardware deployment, making it a scalable and efficient solution for enhancing our location data capabilities. Overall, integrating stationary cameras into our data collection infrastructure enhances our ability to provide accurate and comprehensive location-based services to our customers and partners.

Illustration of stationary cameras used by PATHEARN AI for real-time data collection.

PATHEARN avails with an established independent fixed and mobile data collection infrastructure that constantly generates data.

The global user base of PATHEARN collecting data and earning rewards while contributing to data collection.

The PATHEARN App Users

Engaging the global user base of our application for collecting location data presents a unique opportunity to gather real-time insights from diverse geographical locations. By leveraging the collective power of our users, we can collect a wealth of location data spanning various regions, cities and environments. This approach not only enhances the coverage and accuracy of our data but also fosters community participation and engagement. Furthermore, using the existing user base eliminates the need for additional infrastructure deployment and associated costs, making it a cost-effective solution for data collection. Overall, tapping into our worldwide user network enables us to build a comprehensive and dynamic location database that fuels innovation and drives value for our customers and partners.

Icon illustrating PATHEARN's fleet management solutions.

Own Fleet

Utilizing our own fleet for collecting location data allows us to have direct control over the data collection process, ensuring accuracy, reliability and timeliness. This approach enables us to tailor data collection efforts to specific needs and requirements, optimizing efficiency and effectiveness.

Illustration of B2B partners collaborating with PATHEARN for data collection.

B2B Partners

Leveraging B2B partners’ fleets for collecting location data presents a strategic opportunity to expand our data collection capabilities while minimizing operational costs. By collaborating with trusted partners, we can access a wider geographic area and diverse datasets, enhancing the richness and depth of our location data offerings. This approach also fosters mutually beneficial relationships, allowing us to tap into existing infrastructure and resources without the need for significant investment in fleet management. Ultimately, partnering with B2B fleets enables us to scale our data collection efforts efficiently and deliver valuable insights to our customers.

Illustration of stationary cameras used by PATHEARN AI for real-time data collection.

Infrastructure of Stationary Cameras

Utilizing stationary cameras as part of our infrastructure for collecting location data offers several advantages in terms of data accuracy, coverage and cost-effectiveness. By strategically placing cameras in key locations, we can capture real-time information about traffic patterns, vehicle movements and road conditions. This data can then be analyzed to derive valuable insights on various applications such as traffic management, urban planning and transportation logistics. Additionally, leveraging existing stationary cameras reduces the need for additional hardware deployment, making it a scalable and efficient solution for enhancing our location data capabilities. Overall, integrating stationary cameras into our data collection infrastructure enhances our ability to provide accurate and comprehensive location-based services to our customers and partners.