DePINed podcast

In this episode of the DePINed Podcast, host Tom Trowbridge, co-founder & CEO of Fluence, sits down with Marcus Hearne, founder & CEO of Ubitel.Marcus is building Ubitel — a DePIN-powered connectivity platform that uses Trusted Execution Environments (TEE) in mobile phones to create secure, anti-sybil infrastructure for global internet access.In this conversation, we explore how phone-level TEE can become a trust layer for DePIN networks, why consumer devices may be better suited for secure attestations than traditional server hardware and how Ubitel is approaching eSIM as a go-to-market strategy while building toward a broader decentralized infrastructure vision.Topics covered include:
– Using phone TEE for anti-sybil security and real-world attestations
– Why consumer devices can unlock new DePIN trust models
– eSIM as an entry point to decentralized connectivity
– Stablecoin payments, points systems, and token design considerations
– Scaling DePIN networks through real usage, not speculation🎧 Listen and watch the episode on YouTube, Spotify and Apple Podcasts — and follow DePIN Space for more materials with founders building real-world decentralized infrastructure.

In this episode of the DePINed Podcast, host Tom Trowbridge sits down with Harry Dewhirst, Founder & CEO of 375AI, to explore how edge AI is turning the physical world into actionable intelligence.375AI is building a real-world data intelligence network that captures activity across highways, intersections, and urban environments — converting massive volumes of raw video into lightweight, privacy-preserving metadata at the edge. With millions of vehicles tracked daily and deployments across major U.S. markets, the network is designed to deliver real-time insights for logistics, finance, autonomous systems, and beyond.In the conversation, Harry shares:
- how 375AI compresses terabytes of unstructured video into usable data using edge AI
- why controlled deployments and premium locations are critical for data quality and monetization
- how the network is already generating commercial demand shortly after TGE
- the role of buy & burn tokenomics in aligning real-world revenue with long-term network value
- why offline commerce intelligence could become as important as online analytics🎧 Tune in to learn how real-world data, edge AI, and DePIN are converging to unlock a new layer of intelligence — and why the physical world may be the next major analytics frontier.

2025 became a year of product depth and infrastructure maturityOver the past twelve months, Fluence moved from a narrow compute narrative to a fully-fledged CloudStack — production-ready CPUs, virtual servers, a rebuilt provider stack and a platform designed to serve real workloads at scaleTo close the year, Fluence co-founders Tom Trowbridge and Evgeny Ponomarev sat down to reflect on what was built, why certain decisions mattered, and how those foundations set the stage for what comes next.A natural part of that evolution is GPUs and AI. In 2025, Fluence expanded beyond CPU compute into GPU containers, VMs, and bare metal — opening the door to AI workloads and a market that continues to reshape global infrastructure. This episode unpacks how Fluence approaches GPU economics, capacity, and scale — and why compute is becoming one of the most valuable commodities of the next decade.Beyond the product itself, the conversation also touches on ecosystem building. Through DePIN Day and the DePINed Podcast, Fluence continues to invest in the DePIN community — creating a shared space where founders, builders, and operators can connect, learn and grow together. That ecosystem work feeds directly back into stronger products, better alignment, and a healthier market overall.

Decentralized Physical Infrastructure Networks (DePIN) promise a new internet. In this episode, Jason Brink, CEO and co-founder of Datagram, explains why most DePIN projects fail and what it actually takes to build one that works.Datagram is not another “node-for-tokens” network. It’s a production-grade decentralized infrastructure already serving hundreds of real B2B customers, handling voice, video, connectivity, and soon AI inference — at a fraction of the cost of centralized providers.What we cover in this episode:- How Datagram operates as a decentralized alternative to AWS for connectivity, video, and infrastructure- Why transparency in uptime, usage, and token distribution is critical for long-term sustainability- Datagram’s 100% buy-and-burn token model and how revenue directly supports node operators- Real traction: 400+ B2B customers, government and academic use cases, and live production traffic- The future roadmap: VPNs, decentralized AI inference, hosting, and full decentralized cloud services💡 This episode is a deep dive into real decentralization, real revenue, and real infrastructure. 🎙️ Don’t miss this deep dive into one of the most ambitious infrastructure projects in the DePIN ecosystem

Small, specialized AI models are catching up to and in many cases outperforming — frontier LLMs. Fortytwo is building a decentralized compute network where thousands of lightweight models collaborate, rank each other’s outputs, and produce reasoning-quality results that rival the biggest models in the world. This is swarm Inference powered by DePIN.In this episode, Tom Trowbridge (Co-Founder of Fluence) talks with Ivan Nikitin, Co-Founder of Fortytwo — a decentralized AI network that recently surpassed GPT-5–class models on coding, math and hard-science benchmarks.🚀 This episode breaks down why the era of mega-models is slowing, how swarm architectures overcome hallucinations, and why decentralized compute may be the future of AI infrastructure:
- Why small specialized models now outperform frontier LLMs on domain tasks
- How Fortytwo’s “swarm ranking” filters out hallucinations and boosts accuracy
- The limitations of giant models: diminishing returns & rising compute costs
- Decentralized compute: consumer hardware as a global AI network
- The Fortytwo reward system: reputation, incentives & proof-of-InferenceIf you want to understand why decentralized compute is challenging the frontier-model paradigm — and how swarm Inference could redefine the future of AI — listen now! 🎧