Emre Yumlu 
PathPulse AI (PULS) is an AI-based mobility platform aimed at making urban transportation safer, more efficient, and smarter. The project combines big data, artificial intelligence, and Internet of Things (IoT) technologies; through real-time data analysis, it targets optimizing traffic flow in cities, improving navigation systems, and providing data for urban planning processes.
The platform creates a decentralized data ecosystem powered by user-provided data. In this way, drivers and city residents become both data producers and part of the ecosystem. PathPulse AI stands out particularly with its solutions for real-time traffic information, road safety analysis, and data provision for city management.
How Does PathPulse AI (PULS) Work?
PathPulse AI analyzes data collected from various sources to generate insights for urban mobility. The platform’s core approach is built on processing real-time information—such as images and road data obtained from users’ vehicle cameras—using artificial intelligence algorithms.
The system analyzes this data to produce important information about traffic flow, road conditions, and potential risks. The resulting data can be used by navigation applications, public institutions, and urban planners. This enables urban transportation infrastructure to become more efficient.
PathPulse AI also employs a community-driven data model. Users can contribute to the system’s database by sharing images from their vehicle cameras. In return for this contribution, they can earn various rewards.
Technologies Redefining Urban Mobility
The PathPulse AI ecosystem operates through the integration of various technological components. The different systems developed by the platform aim to make urban data analysis faster and more accurate.
PulseGen – Local Large Language Model (LLM)
PulseGen is a local large language model developed by PathPulse AI. This system aims to provide drivers with meaningful insights by analyzing road conditions and traffic context.
PulseGen can contextually analyze events on the road and generate recommendations to improve the driving experience. This allows drivers to choose safer and more efficient routes.
PulseNet – Object Detection Infrastructure
The PulseNet system developed by PathPulse AI forms the foundation of the platform’s image analysis infrastructure. This architecture is an advanced AI model capable of detecting objects on the road.
Comprising approximately one billion parameters, this system has been designed to operate with high accuracy. It is also optimized for more efficient performance. This enables large datasets to be analyzed quickly.
P-AXON – AI-Powered DePIN Infrastructure
P-AXON is the decentralized physical infrastructure network (DePIN) solution used within the PathPulse AI ecosystem. This structure aims to optimize real-time data analysis and physical infrastructure networks with artificial intelligence.
Thanks to the DePIN approach, the platform can build a vast data network formed from user-provided data. This network can be used to make urban mobility more efficient.
Scout Platform
One of the most important components of the PathPulse AI ecosystem is the Scout platform. Scout is a system that enables users to share real-time data.
Users can share images obtained from their vehicle cameras through the platform. These images are analyzed by artificial intelligence and converted into urban transportation data.
The Scout platform also features a mechanism that rewards users who provide data. This allows users to contribute to the platform’s development while earning various rewards.
SCOUT Application
The SCOUT application is the mobile app that provides data to the PathPulse AI ecosystem. Users can share images obtained from their vehicle cameras through this application.
The application stands out with its low power consumption and lightweight structure. At the same time, thanks to its AI-supported data processing infrastructure, meaningful data can be generated from the shared images.
Users can contribute to the system’s database by uploading vehicle camera footage in 1080p or higher resolution to the platform. This data can be used for urban planning, traffic management, and the development of navigation systems.
Real-Time City Data
PathPulse AI aims to transform the collected data into analyses that can be used in various fields. The data produced by the platform can provide value particularly in the following areas:
- City management and operations
- Public transportation systems
- Navigation and mapping services
- Urban planning
- Geospatial data analysis
- Detection of traffic violations
Thanks to real-time data analysis, urban transportation systems can become more efficient. In addition, important insights can be obtained regarding traffic safety.
PathPulse AI (PULS) Tokenomics
PULS token is the native cryptocurrency asset of the PathPulse AI ecosystem. Various transactions and incentive mechanisms within the platform are executed through this token.
The PULS token is used for users to contribute data, benefit from platform services, and participate in various reward mechanisms within the ecosystem. It also forms the foundation of the platform’s economic structure.
PULS Token Use Cases
The PULS token has various use scenarios within the PathPulse AI ecosystem. Some areas where the token can be used within the platform include:
- Coupon, gift card, and voucher system
- Earning rewards in exchange for data contribution
- Loyalty and referral programs
- Token buyback and burn mechanism
- Driver reward system
- Access to premium features
These use cases aim to ensure the sustainable operation of the economic cycle within the ecosystem.
PathPulse AI (PULS) Investors
The PathPulse AI project continues its development with support from various investors and venture capital firms. The project has raised a total of 900 thousand dollars in funding. Various venture capital funds and investors have contributed to the growth of the ecosystem and the development of its technological infrastructure.
The investors are as follows: Tier 3
- Aptos
- CoinGecko Ventures
- Decubate Ventures
Tier 4
- Brinc
- Baselayer Capital
- Metalabs Ventures
- Sensei Capital
- PRIM3 Capital
PathPulse AI (PULS) Team
The PathPulse AI project is being developed by an experienced team in the fields of artificial intelligence, software development, and mobility technologies. The founding team of the project aims to develop city mobility solutions on a global scale while building the platform’s technical infrastructure.
Some key names in the project team are:
- Umair Mukadam — CEO (Chief Executive Officer), Co-Founder
- Ibrahim Momin — CTO (Chief Technology Officer), Co-Founder
- Ritika Khar — CPRO (Chief Product Officer)
- Naved Khan — COO (Chief Operating Officer)
Official Links
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