Bluwhale has raised $10 million in a Series A funding round. The round drew backing from global financial institutions and leading L1, L2 blockchains.
One notable investor in this round is UOBVM, the venture arm of Singaporean UOB, which recently took over Citi’s global consumer banking business. Another prominent backer is SBI Holdings, Japan’s largest financial infrastructure group with around $74 billion in assets under management. Also participating were at least five major blockchains — including Sui, Tezos, Cardano, Arbitrum, and Movement Labs.
Han Jin, Bluwhale’s CEO, framed the raise as proof that “both Web2 and Web3” are now backing AI agents delivering financial services on-chain. “Institutional adoption has reached an all-time high,” he said, pointing to trends like digital asset-backed loans, stablecoins, and ETF inflows into crypto.
In March 2024, Bluwhale raised $7 million in a seed round led by SBI (via SBI Ven Capital and SBI Decima Fund). The seed round featured participation from Cardano, Momentum6, Primal Capital, NxGen, Ghaf Capital, and more.
Beyond venture rounds, Bluwhale has tapped multiple funding channels, including a $75 million token purchase commitment, proceeds from node sales, and grants, to bring its total capital to approximately $100 million to date.
According to ICO Drops data, Bluwhale had raised $99.6 million in 5 rounds till Feb 13, 2025.
Thus, this $10 million Series A brings total funding to around $110 million.
Why does it matter? The crypto and AI industries are at an inflection point. While infrastructure (e.g. L1 and L2 blockchains) has long drawn investor attention, the next frontier is applications — especially those marrying AI, decentralized computation, and on-chain data.
Institutional flows into digital assets have surged in 2025. Spot Bitcoin and Ether ETFs have pulled in over $118 billion in Q3 alone, with BlackRock’s iBIT fund topping $86 billion in AUM. Corporate treasuries collectively hold more than $113 billion in Bitcoin. This signals a shift from speculation to long-term digital asset allocation.
Bluwhale’s funding signals that institutional capital is now looking past core blockchain rails. They want exposure to blockchain-native AI, especially in financial services. AI agents that understand a user’s on-chain wallet data, credit health, or financial profile — and act autonomously — represent a bridge between traditional finance and crypto-native infrastructure.
In that context, Bluwhale’s focus on financial health scores, AI agent marketplaces, and multi-chain orchestration is strategic. It aligns with the growing demand for AI-powered personal and enterprise finance tools that work seamlessly across chains.
What Bluwhale brings to the table
Bluwhale presents itself as more than a dapp or data aggregator. Its architecture is built around a Layer 3 network that orchestrates data, storage, and compute for AI agents across chains. The goal: a multi-chain, interoperable AI infrastructure. In effect, developers or enterprises can deploy AI agents that use on-chain wallet and behavioral data, without worrying about cross-chain plumbing.
On the user side, Bluwhale pairs a user’s financial health score with an AI agent marketplace. Enterprises and developers build services that the agents deliver — both on-chain and off-chain. The platform claims over 3.6 million users globally and “thousands” of active AI agents. That scale gives it a base to experiment and refine product-market fits in web3 finance.
The startup also seeks to redefine how identity, preferences, and financial profiles live on-chain. Its approach leans into digital asset credit scores, tying AI-driven decisions to real-world economic behaviors.
Beyond finance, Bluwhale has expressed ambitions in the gaming sector. It already supports over 5,000 enterprise accounts, has indexed 800 million wallets, and actively pushes AI personalization to Web3 games to predict player behavior.
Bluwhale is planing to launch Oceanum, a zero-knowledge-enabled L3 rollup layer in partnership with Caldera Network. This will aim to provide privacy, aggregation, and contextualization for AI workloads over Arbitrum first, then across other chains.
Where next? Bluwhale intends to use the new funds to accelerate development, deepen blockchain partnerships, and onboard institutions into its AI-driven financial stack. Its narrative hinges on bringing AI to everyday finance — especially aimed at Gen Z, which expects 24/7, automated, digital-first tools.
Han Jin hinted that traditional financial institutions are unprepared for an imminent wealth transfer. He argued existing banking models won’t handle Gen Z’s comfort with digital, on-demand AI. Bluwhale hopes its AI agents become the new personal financial manager, fully embedded across chains and services.
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