375ai, Wingbits and Beacon Protocol connect the Physical World to AI
375ai, Wingbits and Beacon Protocol are partnering to create a comprehensive data intelligence ecosystem that merges flight tracking data, location data from high-traffic areas, and high-security encrypted data systems, unlocking new possibilities for AI training and AI powered applications.
This collaboration brings together different, yet complimentary, networks to deliver combined data from multiple sources that reveal patterns across ground and air traffic while maintaining advanced encryption and complete data traceability.
Together, we can paint a complete picture: whether it’s tracking commercial aircraft, analyzing rail activity, or mapping ground transportation, this joint venture lays the foundation for a smarter, more connected understanding of how the world moves.
From Synthetic to the Real World
The AI industry is hungry for high quality, real world data. The global AI market is projected to soar from $189 billion to $4.8 trillion by 2033, yet AI models remain limited by the availability of secure, traceable, and contextually-rich datasets.
Modern AI models, logistics platforms and operational tools all share one need: high quality, real world data. But movement data, especially across different modes of transport, is often fragmented, siloed, or difficult to access in real time.
Current AI training relies heavily on artificial or limited data that fails to capture the complexity of real world environments. Meanwhile, data security concerns and lack of tracking data origins create significant barriers to business adoption, especially for applications requiring verifiable data history and regulatory compliance.
Wingbits tracks flight movements across global airspace. 375ai monitors movement patterns in high traffic locations worldwide. Data will be aggregated and made available in real time to power new fine-tuned models, agents, and unprecedented AI insights via Beacon Protocol.
Creating Rich Multimodal Data Sets for AI
Our data networks combined can provide:
- Live and historical data across multiple transportation modes
- AI native access to data with developer friendly APIs and dashboards
- Use cases ranging from AI training and simulation, to fleet tracking, to mobility forecasting
Together, we are building the infrastructure for trustworthy AI, developing combined datasets for machine learning, application interfaces for AI powered systems, and real time analytics that connect aviation and location intelligence.
About Wingbits
Wingbits is building the world's largest virtual map of the sky. Our global community of everyday individuals earn rewards for monitoring aircraft in real-time using specialized hardware. With proprietary, high precision, and industry-first encrypted hardware, Wingbits delivers the most reliable flight tracking network.
About 375ai
375ai is on a mission to make the physical world machine-readable. The network collects and structures real world data from road traffic to shipping activity, all to fuel the next generation of intelligent systems and physical AI applications. With AI enabled edge nodes and sensors deployed on highways across major markets in the United States including Los Angeles and New York Metropolitan area, the 375ai network has visibility into the movement and behavior of millions of vehicles per day.
375ai data buyers include freight and logistics companies, advertisers, local and federal governments, and more.
About Beacon Protocol
Beacon Protocol solves a critical challenge in AI development: enabling proprietary data sources to power AI models, agents, and insights without sacrificing control or ownership. Beacon's purpose-built infrastructure enables the creation of fine-tuned models and agents while keeping data secure and unlocking co-ownership and monetization of new AI assets. This not only gives AI new knowledge and context, but also allows AI to use data in real-time for unprecedented insights and predictions.