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Entrée Capital’s $300 Million Fund Signals Institutional Conviction in AI Agents and DePIN Infrastructure

On November 14, 2025, as Bitcoin traded at $94,397 and the broader crypto market digested $866 million in Bitcoin ETF outflows, Entrée Capital announced a $300 million fund targeting early-stage investments in AI agents, decentralized physical infrastructure networks, and regulated Web3 infrastructure. The launch brings the firm’s total assets under management to $1.5 billion and represents one of the clearest institutional signals yet that the convergence of artificial intelligence and blockchain infrastructure is moving from narrative to capital deployment.

The timing is noteworthy. While spot Bitcoin ETFs hemorrhaged institutional capital and ETH ETFs saw $259 million in outflows on the same day, Entrée Capital’s fund announcement suggests that smart money is rotating from passive crypto exposure toward infrastructure that enables the next generation of on-chain applications — specifically those powered by AI.

The Synergy

Entrée Capital’s investment thesis centers on three converging themes: AI agents capable of autonomously holding, allocating, and trading capital within cryptographic policy frameworks; decentralized physical infrastructure networks that provide real-world compute and storage resources priced and secured on-chain; and compliance automation through what the firm calls “compliance as code.” These three pillars are not independent — they reinforce each other in ways that could fundamentally reshape how financial infrastructure operates.

AI agents that manage capital on-chain require reliable, low-latency compute infrastructure. DePIN networks provide exactly that, distributing GPU resources globally and making them accessible through on-chain markets. The compliance layer ensures that autonomous agent activity operates within regulatory boundaries — a critical requirement for institutional adoption. Eran Bielski, partner at Entrée, emphasized that the firm has been investing in AI for over seven years and that AI-native founders building vertical agents and infrastructure represent the highest-conviction opportunities in their portfolio.

AI Use Cases in Web3

The fund’s focus on AI agents reflects a broader trend that accelerated throughout 2025. Aethir, a decentralized GPU cloud provider, announced on the same day that it would power Velvet Capital’s DeFAI Operating System, providing bare-metal GPU access for AI-driven trading strategies and portfolio management. Velvet Capital, active across major blockchains with over 100,000 users, represents exactly the kind of AI-crypto convergence that Entrée is targeting — a platform where autonomous agents execute financial strategies using decentralized compute infrastructure.

Meanwhile, 0G Labs released its 0G Chain v3.0.3 upgrade, introducing improved validator APIs and transaction broadcasting for its AI-native blockchain. The project also announced the .0g domain system, developed with SPACE ID, which provides on-chain identity for both users and AI agents — a human-readable identifier that works across applications in the 0G ecosystem. The minting of .0g domains is planned for early 2026, and the system is designed to make agent identity portable, verifiable, and wallet-native.

Data Privacy Implications

The proliferation of AI agents operating on-chain raises significant data privacy questions. Autonomous agents that execute trades, manage portfolios, and interact with DeFi protocols generate vast amounts of behavioral data. When these agents are tied to on-chain identities — as 0G Labs envisions with the .0g domain — the potential for surveillance and profiling increases dramatically. The Entrée Capital fund’s focus on compliance automation suggests awareness of this tension, but the industry as a whole has yet to establish clear frameworks for how AI agent data should be protected.

The intersection of AI and DePIN also creates privacy challenges at the infrastructure level. Decentralized compute networks process sensitive data across globally distributed nodes. Without robust privacy-preserving technologies — such as zero-knowledge proofs or trusted execution environments — the data processed by DePIN networks could be exposed to node operators or other parties. Projects like 0G Labs have acknowledged this by incorporating TEE security checks in their AIverse component, but the standards for AI data privacy on-chain remain nascent.

The Innovation Frontier

What makes the current moment different from previous AI-crypto cycles is the maturation of both ecosystems. The DePIN sector raised over $1 billion in 2025, according to industry reports, with dedicated funds from multiple venture firms targeting infrastructure plays. AI agent frameworks have progressed from theoretical designs to operational systems managing real capital. The Aethir-Velvet Capital partnership illustrates this maturity: a decentralized GPU network powering a production-grade AI trading platform with six-figure user counts.

Entrée Capital’s Saul Levin captured the opportunity succinctly: industries that have historically underinvested in software are the most vulnerable to AI-driven disruption. In crypto, the most impactful applications may not be in trading or speculation but in automating the operational infrastructure that currently requires armies of compliance officers, risk managers, and operations teams.

Concluding Thoughts

The $300 million Entrée Capital fund is a bet that the next phase of crypto evolution will be driven not by new tokens or protocols but by AI agents that make existing infrastructure more efficient, accessible, and compliant. With Bitcoin at $94,397 and institutional capital flowing out of passive ETF products, the contrast between old-world crypto exposure and new-world AI infrastructure investment could not be starker. The firms building the agent layer and the DePIN networks that power it may well define the next cycle — and the institutional money is starting to agree.

Disclaimer: This article is for informational purposes only and does not constitute financial advice. Always conduct your own research before making investment decisions.

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27 thoughts on “Entrée Capital’s $300 Million Fund Signals Institutional Conviction in AI Agents and DePIN Infrastructure”

  1. entree deploying 300M into AI agents while BTC ETFs bled 866M same week. smart money and dumb money looking in opposite directions

  2. 300M fund announcement on the same day BTC ETFs bled 866M. either entree capital knows something the etf crowd doesnt or theyre catching a falling knife with style

    1. Tobias K. the ETF outflow was passive money exiting. entree is making active bets on infrastructure. completely different risk profiles and time horizons

  3. thomas_friedman_

    1.5B AUM total is real money but 300M deployed across early stage AI agent startups is basically 10-15 deals. not exactly a war chest

  4. entree has been investing in AI for 7 years per the article. this isnt a pivot to chase the narrative, they were early

    1. rekt_survivor $300M targeting specifically AI agents and DePIN is not generic. this is the most targeted institutional bet on AI+crypto convergence yet

  5. compliance as code is the part nobody is talking about. autonomous agents need regulatory guardrails or institutional money stays on the sidelines forever

    1. compliance as code for autonomous agents is the real bottleneck. an AI agent holding capital needs on-chain identity and legal wrappers before institutions touch it

      1. Rasmus L. compliance as code is the bottleneck but Entrée investing 300M means they think the legal wrappers will follow the capital. typical VC bet

        1. Joon-ho K. legal wrappers following capital is how every VC cycle works. deploy first, figure out compliance after the next raise lol

  6. ai_agent_skeptic_

    300M for AI agents that autonomously trade capital on-chain sounds like a regulatory nightmare. who is liable when the agent loses money

    1. ai_agent_skeptic_ liability when an agent loses money is THE question nobody has answered. SEC will figure it out the hard way via enforcement

      1. compliance_void_88

        liable_who_ the SEC will figure out agent liability the same way they figure out everything: after someone loses a billion dollars

    2. ai_agent_watcher

      300M for AI agents that trade on-chain sounds exactly like the kind of regulatory nightmare nobody wants to solve

  7. Entree deploying 300M while ETFs were bleeding 866M same week. smart money and passive money are clearly looking at different things

    1. 1.5B AUM and theyre targeting DePIN specifically. thats not generic crypto allocation, thats a thesis bet on physical infrastructure tokens

      1. fund_ops_ 1.5B AUM targeting DePIN specifically is a real thesis not narrative chasing. Entrée has been in AI since 2018 per the article

        1. legal_wrapped_ai

          Rasmus B. 1.5B targeting DePIN specifically is a thesis not narrative chasing. Entrée actually understands the convergence

      2. fund_ops_ DePIN specifically is interesting because the revenue is measurable in hardware and usage. way easier to underwrite than pure AI agent tokens

        1. Theo M. DePIN is actually smart because the revenue is measurable in actual hardware. not just vaporware tokens

  8. 300M into DePIN while ETFs bled 866M the same week. entree is making a directional bet that physical infrastructure tokens generate real revenue unlike 99% of L2s

    1. thesis_drift_

      Florian B. DePIN revenue is measurable in hardware usage which is more than most AI agent tokens can say. but 300M is still a massive bet on unproven demand curves

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