Our Solution

Guardians of the Car (GOTCAR) addresses the limitations of conventional mobility systems by introducing a cost-efficient, AI-based precision positioning solution designed for real-world scalability.

Unlike traditional precision localization technologies that rely on expensive hardware, proprietary sensors, or vehicle-specific configurations, GOTCAR leverages standardized vehicle data—such as speed, gyroscope data, and steering wheel angle—supported by proprietary patented technology to deliver reliable positioning intelligence at a fraction of the cost. This approach enables comparable accuracy while operating at less than 5% of the cost of existing precision positioning solutions.

AI-Based Precision Positioning

By applying AI-driven pattern analysis to aggregated mobility data, GOTCAR continuously refines positioning accuracy across diverse environments. This method allows the system to improve over time as participation increases, without requiring additional hardware deployment or infrastructure changes.

Key Differentiators

GOTCAR’s solution is designed around three core advantages: cost efficiency, universality, and scalability.

Category
Conventional Precision Positioning
GOTCAR

Cost

High deployment and maintenance costs – USD 1–2M per large shopping mall

Less than 5% of conventional cost

Universality

Limited to specific vehicle models or hardware

Compatible with most mass-produced vehicles

Scalability

Difficult to scale due to hardware dependency

Easily scalable through data-driven expansion

This data-centric architecture allows GOTCAR to function as a foundational positioning layer for both current mobility services and future autonomous driving applications.

G2E-Driven AI Feedback Loop

GOTCAR integrates this technology into a G2E (Guardians-to-Earn) application, where ecosystem participants—referred to as Guardians—are rewarded for everyday mobility activities such as driving, walking, and cycling.

These incentives enable continuous collection of real-world positioning and movement data, forming a positive AI feedback loop:

  • Increased participation →

  • Higher-quality data →

  • Improved AI-based positioning intelligence →

  • Enhanced ecosystem value

By aligning user incentives with data quality and system improvement, GOTCAR establishes a sustainable and decentralized model for precision positioning at scale.

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