
Harry Dewhirst: What If the Physical World Had an API? — 375ai, DePIN, and Real-Time Data for AI
The Delphi Podcast
Intro
This chapter explores the cutting-edge initiatives of 375AI, which aims to create a decentralized network for monetizing real-world data. It highlights the founder's expertise in data monetization and the innovative strategies involving AI and on-chain incentives to support this transformative venture.
Join Can Gurel as he hosts Harry Dewhirst, co-founder and CEO of 375ai, to discuss their ambitious real-world application of DePIN. Learn how they're building a decentralized network of sensors to capture and monetize physical data at scale.
375ai: https://www.375.ai/
🎯 Key Highlights
▸ Harry Dewhirst’s background in Web2/Web3 and his path to founding 375ai.
▸ How 375ai evolved from deploying third-party DePIN devices to building its own network, hardware, and token.
▸ Overview of 375ai’s edge data intelligence network, the real-world data it captures (e.g., traffic, vehicles, weather), and the advanced sensors used.
▸ How 375ai turns unstructured video into valuable, privacy-compliant, normalized data at the edge.
▸ Real examples of how 375ai’s high-fidelity, real-time data outperforms alternative data methods for businesses.
▸ 375ai’s current development phase and monetization strategy, focused on premium geographic deployments.
▸ New buyer types and use cases emerging as the network scales and historical data grows richer.
▸ 375ai’s go-to-market strategy: integrating data into major marketplaces to reach Fortune 500 companies.
▸ Why 375ai runs AI at the edge instead of the cloud—prioritizing efficiency and privacy.
▸ Modular sensor system design that supports future upgrades and evolving data needs.
▸ Introducing 375ai Street, a compact self-deployable device expanding network data coverage.
▸ Comparison with Hivemapper, and how 375ai delivers different insights through fixed sensor deployment.
▸ 375ai Go, a mobile app enabling anyone to contribute passive and active data—unlocking new monetization paths.
▸ The rising need for real-time physical data in LLMs and autonomy—and 375ai’s potential as a key proprietary source.
▸ Key challenges and risks in building and scaling physical hardware for the network.
▸ The story behind the name “375ai.”
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🧠 Follow the Alpha
▸ 375ai's Twitter: @375ai_
▸ Harry's Twitter: @harry_dewhirst
🔗 Connect with Delphi
🌐 Portal: https://delphidigital.io/
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🎧 Listen on
Spotify: https://open.spotify.com/show/62PR1RigLG2YN5Pelq6UY9?si=18ac7ccf36ab4753&nd=1&dlsi=50105fd66e6c4124
Apple Podcasts: https://podcasts.apple.com/us/podcast/the-delphi-podcast/id1438148082
Youtube: https://www.youtube.com/channel/UC9Yy99ZlQIX9-PdG_xHj43Q
Timestamps
00:00 - Intro: Harry Dewhirst & 375ai
00:55 - Harry's background
02:26 - 375ai's pivot
08:29 - 375ai overview
10:48 - Why 375ai's data is valuable
13:28 - Concrete examples of data usage
18:18 - Current stage of 375ai
22:38 - Future customers and scale
25:57 - Go-to-market strategy
29:28 - Edge AI vs. Cloud AI
34:47 - Sensors and device design
38:15 - 375ai Street and self-deployment
41:52 - Comparison with Hivemapper
44:17 - 375ai Go (mobile app)
48:06 - Demand from LLMs and real-world data
53:29 - Biggest risks and challenges
57:48 - Meaning behind the name 375ai
Disclaimer
This podcast is strictly informational and educational and is not investment advice or a solicitation to buy or sell any tokens or securities or to make any financial decisions. Do not trade or invest in any project, tokens, or securities based upon this podcast episode. The host and members at Delphi Ventures may personally own tokens or art that are mentioned on the podcast. Our current show features paid sponsorships which may be featured at the start, middle, and/or the end of the episode. These sponsorships are for informational purposes only and are not a solicitation to use any product, service or token.