Analyzing 375ai: Decentralizing Real-World Data Intelligence

375ai operates the world's first decentralized edge data intelligence network, processing real-world information through AI-powered devices deployed across 40,000 U.S. locations. The Palo Alto-based company, founded in 2022, raised $10 million in total funding through October 2025 and launched its token sale on CoinList on October 9, 2025, marking its transition toward mainnet and broader adoption.

Here's the challenge: traditional AI systems lack access to real-time data from the physical world. Traffic patterns, environmental conditions, and human behaviors remain blind spots for AI and blockchain. 375ai tackles this by deploying edge computing devices that process data locally and then transmit anonymized insights through its Solana-based network. Privacy protection meets immediate data processing, creating infrastructure for applications spanning logistics, urban planning, and advertising.

What Problem Does 375ai Solve?

Current AI systems rely on centralized data collection, resulting in significant bottlenecks. Cloud-based processing involves transmitting raw data to distant servers, which introduces latency for applications that require immediate responses. When sensitive information travels across networks, privacy concerns arise. Centralized storage also creates single points of failure vulnerable to breaches.

375ai's edge intelligence network flips this model. It processes data at its source. Devices equipped with NVIDIA Jetson GPUs analyze visual, audio, and environmental inputs locally, distilling terabytes of raw information into structured insights. The result? Minimized latency, enhanced privacy through immediate anonymization, and distributed processing across thousands of nodes rather than concentrated data centers.

Edge nodes handle multi-modal data streams simultaneously. A single device captures traffic flows, pedestrian movements, air quality readings, and ambient conditions. Everything is processed on-site before being transmitted, with only the refined insights being shared. This shifts data collection from centralized servers to distributed intelligence.

How Does the 375ai Network Function?

The network operates through two components working in tandem: consumer-grade mobile collection and enterprise-level edge processing.

Mobile Data Collection Through 375go

The 375go mobile application enables crowdsourced data gathering from everyday users. Available on iOS and Android, it rewards participants for contributing connectivity and location information. Gamification mechanics, such as achievements and leaderboards, keep users engaged. The app anonymizes all data before transmission.

According to recent data, users have scanned 32 tiles through the application. The passive earning model requires minimal involvement, running in the background while compensating contributors through the platform's reward system.

Enterprise Edge Processing via 375edge

The 375edge node represents the network's industrial-grade processing solution. Each unit packs six HD cameras, environmental sensors, and dedicated GPU hardware for real-time analysis. These nodes, deployed in high-traffic locations through partnerships, continuously process multimodal data streams.

Rather than transmitting raw video feeds or sensor readings, edge nodes analyze inputs locally and extract meaningful patterns. A node monitoring an intersection identifies vehicle counts, traffic flow rates, and congestion patterns, all without recording individual license plates or driver identities. The processed insights are then stored on the Solana blockchain for immutable storage and distribution.

Blockchain Integration and Data Verification

375ai chose Solana for its high throughput and low costs, both essential for handling continuous data streams from thousands of nodes. The partnership with Irys ensures data immutability. Once insights reach the blockchain, they become tamper-proof and verifiable by any participant.

This architecture creates trustless data access. Buyers purchasing traffic insights or environmental metrics can verify the data's origin and authenticity without trusting a central authority. The blockchain layer transforms edge-processed information into provable digital assets.

What Is 375ai's Founding Story?

375ai launched in 2022 in Palo Alto, California, amid a surge in interest for decentralized technologies that could address the limitations of cloud-based AI systems. The founding team brought extensive experience in telecommunications and networking.

CEO Harry Dewhirst previously developed data products at Singtel and Telefónica, working with global enterprises on large-scale information systems. Co-founders Trevor Branon, Rob Atherton, and Chief AI Officer Chad Partridge contributed backgrounds from Palo Alto Networks, Juniper, Fortinet, and Linksys. This collective expertise in building and scaling secure data infrastructure has been instrumental in 375ai's focus on enterprise-grade solutions.

The broader team encompasses specialists in AI and machine learning, blockchain development, and community growth. The culture prioritizes long-term innovation rather than short-term gains. Their collective track record includes selling data products to market-leading companies, and that experience is now applied to crypto-native challenges like decentralizing real-world data streams.

Key Development Milestones

The company's devnet launched in late 2024, allowing early users to test network functionality. Throughout 2025, 375ai introduced its core products while securing hardware deployment partnerships. Key achievements include:

• Devnet launch in late 2024 for early network testing
• Core product releases throughout 2025
• Network expansion to major U.S. metropolitan areas by mid-2025
• $10 million in total funding secured as of October 2025
• Token sale launched on CoinList on October 9, 2025, signaling mainnet transition

This history reflects a deliberate build-out—verifiable, real-time data over hype-driven growth.

What Makes 375ai's Technology Unique?

The network's technical architecture differentiates it from both centralized data providers and other decentralized projects through several key features:

• Real-time edge processing that distills terabytes into actionable insights
• Privacy-first design with anonymization at the point of collection
• Network scale covering 40,000 U.S. locations, reaching 70% of Americans
• Blockchain verification ensures immutable, tamper-proof data storage

Real-Time Processing Capabilities

Devices distill terabytes of raw data into structured insights, for example, traffic flows or air quality metrics. A device monitors traffic processes in real-time, extracting metrics such as vehicle counts per hour, average speeds, and congestion patterns. This conversion happens at the source, dramatically reducing bandwidth requirements and storage needs.

The NVIDIA Jetson GPU hardware enables complex AI inference at the edge. Computer vision models identify objects and patterns. Environmental sensors measure air quality and noise levels. Processing algorithms combine these inputs into comprehensive datasets—all without transmitting unprocessed information.

Privacy-First Design

Data anonymization occurs at the point of collection. Edge devices strip identifying information before any transmission, ensuring compliance with regulations without compromising utility. A camera capturing pedestrian traffic counts individuals without recording faces or tracking specific people.

Data gets anonymized and securely transmitted, complying with regulations without compromising utility. The architecture makes privacy violations technically impossible rather than merely prohibited.

Network Scale and Coverage

Partnerships enable deployment covering 40,000 prime U.S. locations, reaching approximately 70% of Americans. The network processes data from millions of vehicles daily, creating datasets spanning multiple metropolitan areas.

This scale transforms scattered local observations into comprehensive regional intelligence. Traffic patterns in New York correlate with those in Miami. Environmental readings across cities reveal broader trends. Aggregated insights provide value impossible to extract from individual data points.

Data Verifiability Through Blockchain

Integration with Irys ensures data is immutable and tamper-proof, stored onchain for trustless access. Buyers accessing historical traffic data or environmental trends can verify the authenticity of information and trace data provenance back to specific nodes. This creates accountability that is often absent in centralized data vendors.

The Solana blockchain provides the throughput necessary for continuous data streams. Traditional blockchains struggle with high-frequency updates, but Solana's architecture handles thousands of transactions per second. This enables real-time data markets built on trustless infrastructure.

What Partnerships Drive 375ai's Expansion?

Strategic collaborations accelerate network growth and enhance capabilities beyond what 375ai could achieve independently:

• OUTFRONT Media: Exclusive access to 40,000 U.S. locations for edge node deployment
• Irys: Programmable, verifiable data storage with cryptographic proof of authenticity
• peaq: Integration into the Machine Economy via Modular DePIN Functions
• AYDO: IoT data streams from connected cameras are expanding data source diversity

These partnerships enhance data interoperability, security, and reach, positioning 375ai within the broader DePIN ecosystem alongside projects like Helium and GEODNET.

How Much Funding Has 375ai Raised?

Since its inception, 375ai has raised significant capital to fuel its ambitions. The initial $5 million seed round closed in August 2024, led by 6th Man Ventures and Factor. This capital funded devnet development, initial hardware deployment, and team expansion.

An additional $5 million followed in October 2025, bringing the total to $10 million. Delphi Ventures, Strobe, and HACK VC led this round, with participation from EV3 Ventures, Arca, peaq, and others.

Growth Metrics Demonstrate Progress

Growth metrics tell the story: network expansion in New York and Miami, tripling insight volume, and handling data from millions of vehicles. The CoinList token sale, which launched on October 9, 2025, allocates 15% of community incentives to node operators and app users, fostering decentralized participation.

What Real-World Applications Use 375ai Data?

375ai occupies a unique niche in the DePIN and AI sectors. It competes with centralized data providers by offering decentralized, verifiable alternatives. Its edge focus differentiates it from cloud-heavy models, addressing demands for real-time, privacy-compliant data.

Logistics and Autonomous Vehicles

Freight companies and autonomous vehicle developers need current traffic patterns for optimizing routes. 375ai provides granular insights about congestion, average speeds, and flow rates across coverage areas. This enables logistics software to calculate optimal paths considering real-time conditions rather than historical averages.

The network's multi-city coverage supplies diverse examples of pedestrian behaviors, vehicle interactions, and road conditions for autonomous vehicle training. This contributes to safer self-driving systems.

Urban Planning and Public Safety

City governments monitoring environmental and behavioral data make informed decisions about infrastructure investments, zoning changes, and public safety resource allocation. Concrete metrics replace estimates.

Air quality readings across neighborhoods reveal pollution hotspots that require intervention. Pedestrian traffic patterns reveal underutilized public spaces or congested walkways needing expansion.

Advertising and Media

Edge nodes in high-traffic areas provide audience analytics with verified impression counts without violating individual privacy. Advertisers access independent, blockchain-verified audience measurements for campaign planning and ROI calculation rather than accepting venue-provided estimates.

Economic Forecasting

Aggregated data from millions of vehicles and multiple metropolitan areas creates economic indicators. Transportation volumes correlate with economic activity. Environmental readings reflect industrial output. Behavioral patterns signal consumer trends.

Quant traders incorporate these alternative datasets into forecasting models, seeking alpha from physical-world signals unavailable through traditional financial data sources. Blockchain verification ensures data integrity.

What Challenges Does 375ai Face?

Despite progress, 375ai confronts obstacles common to hardware-dependent decentralized networks:

• Scaling Hardware Deployments: Installing thousands of edge nodes requires physical infrastructure, local permissions, and ongoing technical support
• Ensuring Data Privacy Amid Regulations: Demonstrating compliance across different regulatory frameworks from California to GDPR to Asian regulations
• Competing with Established Data Giants: Converting technical advantages into market share against companies like Google and Amazon

The OUTFRONT Media partnership addresses deployment locations, but installation timelines remain constrained by logistics. Each metropolitan market requires careful site selection, hardware setup, and network integration before generating data. However, the company's partnerships and funding mitigate these challenges, with a focus on sustainable growth.

What Does 375ai's Roadmap Include?

Looking ahead, the company's mainnet launch, global expansion beyond the U.S., and deeper AI integrations.

Mainnet Transition and Token Launch

The mainnet transition represents the network's shift from testing to production operations. This milestone enables full decentralized functionality with token-based incentives for node operators and data contributors. The CoinList token sale, launched on October 9, 2025, supports this transition by distributing governance and utility tokens to community participants.

With its token enabling incentives, 375ai is poised to democratize real-world data, contributing to smarter, connected ecosystems without speculative overreach.

Global Expansion Plans

Plans include global expansion, which requires adapting to different regulatory environments, establishing local partnerships, and deploying hardware across new markets. International data coverage enhances the dataset's value by facilitating global comparisons and providing multi-market insights.

Advanced AI Integrations

The roadmap includes deeper AI integrations, with an upcoming wallet-based OS that will integrate dApps and AI agents. This development could transform edge nodes from data collection devices into platforms running distributed AI applications locally.

The 375 Foundation drives research, governance, and ecosystem expansion, coordinating protocol development, managing community incentives, and exploring new use cases for decentralized edge intelligence.

How Does 375ai Fit Within the DePIN Landscape?

Decentralized Physical Infrastructure Networks represent an emerging crypto sector focused on blockchain-based physical infrastructure rather than purely digital applications. 375ai addresses data infrastructure specifically.

Differentiation from Other DePIN Projects

While projects like Helium provide decentralized wireless networks and GEODNET offer positioning services, 375ai delivers real-world intelligence through edge AI processing. The focus on verifiable, privacy-preserving data collection differentiates it from centralized providers.

Rather than gathering comprehensive information about individuals, the network captures anonymized patterns and aggregated insights suitable for enterprise applications.

Market Position and Growth Potential

As AI's data hunger grows, 375ai's network positions it to capture value in a market projected to transform 85% of the global economy through physical-world AI. The demand for real-world data is expected to increase substantially as AI systems expand beyond digital domains into logistics, manufacturing, urban management, and autonomous vehicles.

Community Building Strategy

The testnet phase concluded with a snapshot on October 6, 2025, rewarding early participants who contributed to network testing and initial data collection. This approach builds community engagement before mainnet launch rather than pursuing speculative token trading.

Conclusion

375ai bridges the gap between physical-world data and blockchain-based AI systems through decentralized edge intelligence. The network addresses current data bottlenecks while establishing infrastructure for verifiable, privacy-centric data collection.

The company's $10 million in total funding, strategic partnerships with OUTFRONT Media and Irys, and token sale on CoinList (launched October 9, 2025) demonstrate progress from concept to operational network. Technical capabilities include real-time processing that distills terabytes of raw data into structured insights, privacy-first anonymization at data sources, and immutable blockchain storage via Solana integration.

Challenges persist in scaling hardware deployments, ensuring data privacy amid regulatory requirements, and competing with established data giants. However, 375ai's partnerships and funding mitigate these challenges, with a focus on sustainable growth. Services extend to data buyers, providing high-fidelity insights for governments, autonomous vehicles, freight, quant trading, and media.

As the network evolves, its impact on industries reliant on real-time insights could be profound, underscoring the potential of DePIN to reshape how data flows between the physical and digital worlds.

Visit the official 375.ai website for more information and follow @375ai_ on X for network updates and announcements.

Sources

• CoinList - Announcing the 375ai Token Sale on CoinList
• DePIN Hub - 375ai News and Updates
• 375ai Official Blog - Road to Mainnet
• Blockworks - 375ai Raises $10M to Expand Decentralized Data Network
• 375ai on X - Official Updates and Partnership Announcements