12 VCs and 10 funds investing in Decentralized AI
Partner
V3V Ventures
Check: No Stanko-specific check range is public. A current third-party V3V profile reports a firm-level typical range of $100K–$1M at pre-seed/seed, while public round databases describe the larger rounds V3V joins rather than its own checks. Treat $100K–$1M as directional and confirm instrument, allocation and follow-on capacity directly.
Stanko invests in early-stage software, digital infrastructure and emerging technology, with a strong Web3 focus and an engineer's bias toward difficult, foundational systems. His current public filter is a move away from narratives toward measurable fundamentals: real products, revenue, product traction, user retention and sustainable business models. Within crypto he highlights infrastructure, stablecoin and payment rails, institutional adoption, DeFi, cross-chain systems and the decentralized-AI stack across compute, storage, data, models and applications. V3V pairs capital with architecture, GTM, distribution and follow-on fundraising support.
Investor
Archetype
Check: No person-specific or current firm check size is publicly disclosed. Archetype describes itself as an early-stage fund and its historical firm overview says it partners from first check through Series A; founders should confirm round fit directly rather than rely on directory estimates.
Aadharsh invests where applied cryptography makes useful software private, programmable and verifiable, and where decentralized AI can coordinate agents, data and computation without recreating centralized control. His Privacy 2.0 thesis centers on composable private shared state, hybrid PET stacks and eventually a broadly usable cryptographic protocol with explicit trust assumptions.
Partner
Hack VC
Check: No personal or standard ticket is published. Hack VC is an earliest-stage investor and its articles identify the firm as leading rounds at pre-seed, seed and Series A; announced round leadership does not reveal Rodney's individual check authority.
Rodney backs technical infrastructure that removes adoption bottlenecks for high-value crypto use cases. His work favors modular, open AI stacks that solve data, compute and availability; stablecoin chains that make the payment asset itself the gas and abstract crypto friction; and DeFi ecosystems whose consensus, liquidity and incentives align applications, validators and users. He looks for strong teams, correct problem selection and evidence of compounding ecosystem traction.
Deal Partner
Lightspeed Faction
Check: Faction does not publish a standard check range or Tim's personal authority. The official mandate is Seed and Series A, across equity and tokens; public financing sizes are not Faction check sizes.
Tim is a crypto-native early-stage investor with an explicit interest at the intersection of crypto and AI. His WeatherXM work shows a demand-first DePIN lens: token incentives can coordinate distributed supply, but a network is only durable when there is an external customer for the data or service produced. That fits Faction's broader mandate to back useful blockchain systems across the stack rather than speculation for its own sake.
Partner
CoinFund
Check: Personal check size is not publicly disclosed. CoinFund invests from pre-seed through Series A and in liquid digital assets across multiple strategies.
Evan applies fundamental-investing discipline to both venture and liquid crypto: identify the metrics that genuinely drive an asset, forecast them, define thesis-invalidation points in advance, and pressure-test assumptions through an authentic external network. He looks beyond equity-style valuation heuristics to community, network effects, token demand, distribution, and the new product surface enabled by open onchain economies.
Partner
CoinFund
Check: No verified personal check-size range is published. CoinFund attributes pre-seed, seed, and Series A deals to Einar, but disclosed round totals are company financings and not his personal allocation authority.
Einar backs foundational technology that decentralizes scarce AI resources or rebuilds financial rails onchain. His portfolio connects open compute and model ownership, verifiable AI, permanent data, cross-chain liquidity, stablecoin payments, and institutional prediction-market infrastructure. He favors technically ambitious early teams addressing a structural bottleneck, with a credible path from an initial developer or institutional wedge to an open network that scales access, freedom, and knowledge.
Investor
CoinFund
Check: No personal check range or led CoinFund investment is publicly disclosed. Azi joined the investment team in July 2026; his official profile cites earlier seed investments in Osmosis and Ondo, but those do not establish a current CoinFund ticket or independent authority.
Azi looks for sovereign, user-controlled computing across crypto and AI. His interests span decentralized AI, novel consumer applications, applied privacy, new Layer 1 designs and post-quantum infrastructure. Founder experience sharpened his focus on timing, distribution, capital formation and sustainable business models: a technically correct thesis can still be too early or fail to reach a durable market.
Deal Partner
Lightspeed Faction
Check: Faction does not publish a standard check range or Clara's personal allocation authority. Its official mandate is Seed and Series A investments across equity and tokens; public round sizes must not be mistaken for Faction's check size.
Clara invests within Faction's early-stage, crypto-native mandate: Seed and Series A projects across the stack, in equity or tokens, that create fundamental utility and push the industry forward. Public portfolio tracking associates her with Fiamma, Pharos, and FLock.io, signaling interest in Bitcoin cryptography, high-performance blockchain infrastructure, and decentralized AI; those associations are treated as portfolio signals rather than a complete personal mandate.
Venture Scout
Collab+Currency
Analyst
Collab+Currency
Head of Research
Lemniscap
Co-Founder & Managing Partner
Halo XYZ
At Halo Capital, Howard backs early-stage companies across the pillars of the digital asset economy. Public descriptions of the firm emphasize a research- and data-driven approach, with interest spanning Bitcoin and broader crypto infrastructure through to areas like decentralized AI.
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