Harry Dewhirst: What If the Physical World Had an API? — 375ai, DePIN, and Real-Time Data for AI Podcast Por  arte de portada

Harry Dewhirst: What If the Physical World Had an API? — 375ai, DePIN, and Real-Time Data for AI

Harry Dewhirst: What If the Physical World Had an API? — 375ai, DePIN, and Real-Time Data for AI

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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/

🐦 Twitter: / delphi_digital

💼 LinkedIn: / delphi-digital



🎧 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.

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