375ai

375ai is a decentralized edge data intelligence network built on Solana. It deploys AI-powered hardware nodes on physical infrastructure such as billboards and street furniture across the U.S., equipping them with cameras, microphones, and environmental sensors. These nodes process multimodal data locally at the edge, converting raw sights, sounds, and environmental signals into structured, continuously labeled datasets that are made available to AI developers, robotics teams, and autonomous driving companies.

The core problem 375ai addresses is the scarcity of real-world training data. Over 90% of frontier AI training data is synthetic, and real-world physical data remains difficult to collect at scale. Traditional data collection is either static (fixed cameras with limited coverage) or expensive (manual fleets). 375ai solves this by turning existing urban infrastructure into a distributed sensing network, enabling continuous, large-scale capture of real-world changes.

Its key differentiators include privacy-by-architecture: all personally identifiable information is anonymized on-device, with no facial recognition, ensuring GDPR and CCPA compliance. The network also offers verifiable data provenance, with each dataset cryptographically signed and traceable. Data is delivered in formats compatible with S3, Parquet, or streaming APIs, making integration straightforward.

In the past six months (March to September 2026), 375ai has made significant progress. It announced a partnership with Akave to build a decentralized storage layer, ensuring data sovereignty and integrity. The 375go mobile app was launched, enabling on-demand data collection by a contributor workforce in areas not covered by fixed nodes. The network expanded its deployment footprint, and introduced a data verification mechanism to enhance the reliability of contributed data. These developments strengthen its position as a leading provider of real-world edge data for AI training.