> For the complete documentation index, see [llms.txt](https://docs.natix.network/whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.natix.network/whitepaper/market-entry-products/natix-vx360.md).
# NATIX VX360
VX360 is NATIX’s primary data collection product for Physical AI. The device connects directly to vehicles with built-in exterior cameras, enabling drivers to contribute synchronized multi-camera driving footage from real-world environments.
Led by the Model Y, one of the [world’s best-selling vehicles in recent years](https://finance.yahoo.com/markets/stocks/articles/tesla-model-y-emerges-worlds-100109308.html), Tesla has become one of the most widely deployed camera-equipped vehicle platforms in the world. VX360 leverages this existing camera infrastructure to enable decentralized collection of synchronized multi-camera driving footage at scale, capturing a broader and more complete representation of real-world driving behavior than single-camera or smartphone-based systems. \
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This multi-camera perspective is increasingly important for modern Physical AI systems. Autonomous driving models, world models, and end-to-end AI architectures rely on understanding full-scene interactions, motion, environmental context, and long-tail behavior across multiple viewpoints simultaneously.
Unlike traditional fleet-based collection systems operated in limited regions and controlled conditions, VX360 enables decentralized data collection across diverse geographies, road types, driving cultures, weather conditions, and unpredictable real-world scenarios, without the need to deploy proprietary fleets or specialized vehicles.
**Integrated Data Collection System**
VX360 combines data capture, local processing, storage, and network participation in a single system. Once installed, the device operates with minimal user interaction. Contributors capture real-world driving footage during normal driving activity while the system manages synchronization, upload, and processing workflows in the background.
The platform supports continuous large-scale data collection across cities, highways, rural roads, daytime and nighttime conditions, and varying weather environments. This enables NATIX to build highly diverse datasets that better reflect the unpredictability of real-world driving.
**Privacy and Data Control**
VX360 is designed with privacy and user control in mind. Users can define privacy zones to exclude sensitive locations such as homes or workplaces. The system only accesses exterior vehicle cameras and does not interact with interior-facing systems.
NATIX applies anonymization and privacy-preserving processing techniques to blur personally identifiable information such as faces and license plates.
**Incentives and Participation**
VX360 contributors are rewarded based on the value and relevance of the data they provide. Reward mechanisms are designed to encourage high-quality and diverse data collection across different regions, environmental conditions, and edge-case scenarios. This creates a market-driven feedback loop where contributors are incentivized to capture the types of data most valuable to Physical AI developers.
