375ai

375ai is a decentralised edge data intelligence protocol designed to enable real-time data capture, compute, and monetisation at the edge of the network. It leverages AI and machine learning infrastructure to support edge processing across a distributed hardware and software ecosystem.

The protocol combines sensor-based edge nodes, a mobile application, and decentralised rewards to form a participatory data marketplace. Its goal is to make data generation, analysis, and monetisation accessible to enterprises and individuals through incentive-driven infrastructure.

375ai introduces two main systems:

• 375edge: A modular, high-performance hardware device equipped with sensors, cameras, and embedded edge AI capabilities. These devices are deployed in high-traffic locations and capture multimodal data such as vehicle characteristics, traffic flows, and environmental variables. They use embedded GPUs for local AI inference and are offered with managed deployment options.
• 375go: A consumer mobile app enabling individual users to passively and actively contribute to the network. Users collect wireless signal data and real-world inputs through the app, earning tokens in return.

The system integrates Proof of Data (PoD) as a decentralised verification mechanism. PoD validates the authenticity and quality of data submitted from both devices and mobile applications through multi-source confirmation.

A multi-layer incentive architecture governs participation, network security, and reward allocation. The system targets industries including urban planning, logistics, environmental monitoring, and location intelligence.

EAT is the native token of the 375ai protocol. It coordinates incentives, access, and governance across the network’s hardware and software layers. It is distributed to participants contributing validated data and is integrated into the protocol’s data monetisation model.

Key properties of the EAT token:

• Used as a reward for network contributors (both enterprise and retail)
• Tied to data quality metrics, location accuracy, and uptime performance
• Burned when data buyers acquire access using fiat or stablecoins through a buy-and-burn credit model
• Supports staking for network participation and validation rights
• Structured to shift from an inflation-driven model to a revenue-based deflationary mechanism