Bluwhale CEO Han Jin on How AI Is Becoming the Brain Behind the ‘Next Generation of Web3 Games’

• AI-driven crypto wallets could make in-game strategy and asset suggestions based on player behavior.
• Bluwhale’s AI tools are gaining traction with Web3 game developers.
• GameFi tokens have a combined market cap of $14.39 billion as of May 13, 2025.

As AI and blockchain continue to converge, Web3 is starting to look a lot more like the internet’s next chapter—smart, personalized, and decentralized.

One company trying to make that vision real is Bluwhale, a San Francisco-based artificial intelligence (AI) infrastructure firm.

CCN sat down with co-founder and CEO Han Jin to talk about the role of AI in Web3 gaming, decentralized personalization, and what comes next for the fast-growing startup.

Bluwhale’s Origin Story

Jin told CCN that Bluwhale was born out of a frustration he had with the data dynamics of Web2.

“Bluwhale is the intelligence layer I always dreamed of building one day,” he said.

“My previous decade of AI startup journey in Web2 was all about landing the top 2% enterprises to give us the data and resources to train and scale AI models. If we could power 98% of the world with AI that is as smart as Google’s or Meta’s AI from day one, without taking someone’s data like OpenAI, what world would we be living in?”

Founded in 2022, Bluwhale offers a suite of AI infrastructure tools tailored to the decentralized web.

The company claims it has grown to serve around 5,000 enterprise accounts, with over 3 million users and over 800 million crypto wallets indexed across multiple chains.

Furthermore, it recently raised over $100 million to further its mission and build a decentralized layer-3 intelligence called “Oceanum .”

Knowing Your Player, AI and Web3 Gaming

Today, much of Bluwhale’s traction comes from the gaming industry, where developers are looking to integrate more intelligent systems and immersive player experiences.

“Many of our customers are games, as they have tried to add more AI capabilities in the past year,” Jin says, pointing to use cases like AI-powered NPCs, dynamic gameplay, and generative content.

However, Bluwhale’s appeal to game developers goes beyond surface-level features.

Jin says that as Web3 games become more complex and feature-rich, retaining players requires a deeper understanding of user behavior, something traditional Web3 data tools often miss.

“To achieve this, you would need to understand the player at a much deeper level and extract engagement and retention insights. However, most data solutions in Web3 are optimized for looking at financial transactions and not user behavior,” the CEO highlights.

This is where Jin’s “decentralized personalization” comes in and getting to know your players better.

For example, one early product Bluwhale rolled out was an AI-driven wallet insight system, built to help game developers get a better sense of how users engage with their games and how to tailor the experience accordingly.

At the time, AI helped Bluwhale significantly bridge the gap between understanding simple transaction data and truly getting to know player behavior.

“AI is naturally becoming a core component of the next generation of Web3 games and GameFi,” says Jin.

“Smart functions like recommending the wallet owner the most suitable asset in-game, leading the player to the quest they would spend the most time and capital in, or even guiding users to gain more profits… are just the tip of the iceberg,” he added.

One-Stop AI for Web3 Builders

One of Bluwhale’s missions is to decentralize AI, which means going beyond deploying bots to trade or respond to on-chain data.

Jin believes it’s about bringing the entire AI-powered infrastructure onto the blockchain so that it can “autonomously learn, transact, and evolve.”

The firm has been working with Layer-1 (L1) and Layer-2 (L2) networks as its tech allows them to talk to their chains.

“Assuming consumers will be sitting and transacting in the future of the web on blockchains, then the L1s and L2s are the foundation of where the data, storage and potentially computing will be available,” Jin notes.

However, Jin argues that AI isn’t smart enough to go on-chain and put those pieces together.

Like OpenAI, Bluwhale hopes to become a cornerstone piece of infrastructure that bolsters “smart apps, AI models, and agents” by leveraging on-chain resources.

“Bluwhale’s intelligence layer helps orchestrate the perfect computing environment for AI models and agents to pull the on-demand resources they need to train, conclude, decide, and act upon,” Jin says.

According to Jin, most dApps and AI agents rely on centralized resources, which, he notes, require Web3 developers to tap into multiple solutions, pay more, and handle the data burden, which isn’t efficient.

It’s all about accessibility. Jin wants to see Bluwhale become a “one-stop shop” for developers to plug in their AI models and agents, minus the headache of learning new complex systems.

What’s Next: TGE and Going Multi-Chain

The biggest item on Bluwhale’s roadmap for 2025 is its Token Generation Event (TGE), which will introduce $BLUAI, a native gas token for Bluwhale’s intelligence layer.

The firm is also working on expanding support across chains , with multi-chain integration being its second primary goal for the year.

This aligns with Bluwhale’s longer-term vision of powering decentralized AI infrastructure across Web3, regardless of which blockchain developers choose.

“L1/L2s are the most key partners for us to scale the insights and intelligence chain-agnostic,” Jin says. “Also it fits well to our TGE strategy, as we will target a multi-chain token launch that will give many ecosystems exposure and access to $BLUAI.”