> 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/natix-economy/natix-economy-break-down/data-monetization-and-value-accrual.md).

# Data Monetization and Value Accrual

The NATIX Network monetizes real-world visual data by supplying it to enterprise customers in stable or fiat currencies. This reduces friction for data consumers and enables integration into existing procurement and data pipelines.

Customers pay for access to different types of data products, including raw video datasets, enriched footage with telemetry, searchable datasets, and curated scenario and edge-case collections. These datasets are used for training, testing, and validating Physical AI systems across autonomous driving, robotics, simulation, and world models.

Revenue generated through data licensing flows back into the network. A portion is allocated to reward contributors based on the value of the data they provide, including factors such as quality, diversity, and relevance. This creates a direct link between data demand and contributor incentives.

In addition, protocol revenue supports ongoing network development and operations. Over time, value accrual mechanisms such as staking rewards and potential buyback programs may further align long-term participants with the growth of the network.

The exact allocation of revenue and value distribution mechanisms may evolve over time and are subject to governance.