In the latest episode of the DePINed Podcast, we sat down with Harry Dewhirst, Founder & CEO of 375AI, to unpack how edge AI and decentralized infrastructure are beginning to reshape the way we understand the physical world. The conversation goes beyond hardware and token mechanics, focusing instead on how real-world data is captured, processed, and monetized and why offline intelligence may be one of the most important frontiers for DePIN networks.
Why Real-World Data Has Immediate Value
The usefulness of this data goes far beyond traffic analytics. One obvious application lies in logistics, where fleet operators can optimize routing, understand congestion patterns, and make better operational decisions.
More sophisticated use cases emerge in financial markets. By analyzing the movement of commercial vehicles, institutional players can infer supply chain activity, industrial output, or shifts in demand — signals that historically were invisible or delayed.
Looking further ahead, this data becomes foundational for autonomous systems and agent-based technologies. As machines increasingly operate in the physical world, they require continuous awareness of their surroundings. Real-world intelligence becomes a critical input, not a nice-to-have.
Scaling Through Location
Unlike many data networks that rely on wide but shallow coverage, 375AI prioritizes density and placement. The company deploys high-end edge devices in strategically chosen locations where traffic and activity are most meaningful.
By partnering with Outfront Media, one of the largest billboard operators in the United States, 375AI gains access to premium physical real estate — highways and intersections with massive daily throughput. With a relatively small number of devices placed in the right spots, the network captures a significant share of real-world movement in each market.
This market-by-market rollout ensures data quality and immediate commercial relevance, avoiding the fragmentation that often limits early-stage DePIN networks.
Hardware at the Edge, Simplicity at the Core
The flagship 375AI edge device is not consumer hardware. It’s effectively a mini data center mounted high above roadways, designed to operate continuously in harsh environments while processing complex computer vision workloads.
At the same time, the company is expanding toward more accessible form factors. A mobile app and smaller sensors allow broader participation and enable data collection in environments beyond highways — from shopping districts to residential areas.
The long-term goal is to make participation in real-world data networks as simple as installing consumer electronics, while keeping the most complex infrastructure professionally deployed.
Designing Tokenomics Around Real Demand
375AI’s token model is built around long-term alignment rather than short-term emissions. A significant portion of tokens is distributed to the community over multiple years, rewarding both hardware operators and mobile app users.
What differentiates the model is the emphasis on monetization from the start. Revenue generated through data partnerships flows back into the ecosystem via a buy-and-burn mechanism, directly linking network usage to token value.
As the network matures, rewards are expected to evolve — simple uptime and coverage toward utility-based incentives that reflect the actual value of data contributed. This mirrors the broader evolution seen across successful DePIN networks.
Lessons From DePIN’s Early Experiments
Dewhirst’s perspective is shaped by years of hands-on experience with infrastructure networks, including early involvement with Helium. That background informs a pragmatic view: no token model gets everything right from day one.
Many early networks prioritized participation before demand, leading to long gaps before meaningful revenue appeared. 375AI takes the opposite approach, aiming to align incentives with real usage as early as possible.
This mindset reflects a broader industry shift — away from purely speculative infrastructure and toward networks that generate measurable economic value.
Offline Commerce as the Next Data Frontier
A central thesis of the conversation is that most economic activity still happens offline, yet almost all analytics focus on the digital world. Online behavior is meticulously tracked; physical behavior largely isn’t.
375AI’s ambition is to narrow that gap. By capturing patterns, flows, and behaviors in physical environments, the company aims to bring offline commerce closer to the level of insight businesses expect online and eventually connect the two.
The potential scale of this market is massive, driven by the simple reality that the majority of commerce still takes place in the real world.
Privacy by Design
One of the key advantages of edge AI is privacy. By extracting only metadata and discarding raw footage, 375AI avoids centralized video storage altogether.
This architecture allows the network to remain compliant and privacy-conscious while still delivering high-value insights. In an environment where data collection increasingly faces regulatory and societal scrutiny, privacy-preserving design becomes a competitive advantage.
Building for the Long Term
For Dewhirst, the token is not the product — the business is. The priority remains building reliable infrastructure, valuable datasets, and sustainable revenue streams.
If those fundamentals are strong, the token naturally reflects that success over time. It’s a long-term approach, shaped by experience building and scaling data companies well before Web3 entered the picture.
About DePINed Podcast
DePINed is a podcast exploring the frontier of decentralized physical infrastructure, hosted by Tom Trowbridge, co-founder of Fluence. Each episode features in-depth conversations with founders, builders, and investors who are shaping the future of real-world Web3 networks.
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