Bluwhale CEO Han Jin Reveals How AI Will Power the Next Era of Web3 Games

Key Takeaways

• AI-driven crypto wallets could make in-game strategy and asset suggestions based on player behavior.
• Blue whale’s artificial intelligence tools are becoming increasingly popular among web3 game creators.
• As of May 13, 2025, the total market capitalization of GameFi tokens stands at $14.39 billion.

As
AI and blockchain
As we move forward, Web3 is beginning to resemble the next phase of the internet: intelligent, tailored, and decentralized.

A company striving to turn this vision into reality is Bluwhale, an AI infrastructure business based in San Francisco.

I sat down with co-founder and CEO Han Jin to discuss the impact of AI on Web3 gaming, the benefits of decentralized personalization, and what lies ahead for this rapidly expanding start-up.

Bluwhale’s Origin Story

Jin mentioned that Bluwhale emerged from his dissatisfaction with the data flow in Web2.

“Bluewhale represents the intelligent interface I’ve always envisioned creating someday,” he stated.

My past ten years building an AI startup in Web2 focused on securing partnerships with the elite 2% of corporations to provide us with the necessary data and resources for training and expanding our AI models. Imagine if we could empower 98% of the globe with AI as intelligent as Google’s or Meta’s right from inception, without relying on others’ data similar to how OpenAI operates—what kind of world would we inhabit?

Bluwhale, established in 2022, provides a range of AI infrastructure tools designed specifically for the decentralized web.

The firm asserts that it has expanded to cater to approximately 5,000 business clients, boasting more than 3 million individuals and over 800 million cryptocurrency wallets cataloged across various blockchains.

Additionally, it has recently secured more than $100 million to advance its goals and develop a decentralized level-three intelligence system known as “صند
Oceanum
.”

Understanding Your Gamer, Artificial Intelligence, and Web3 Gaming

Currently, much of Bluwhale’s success can be attributed to the
gaming industry
, where developers aim to incorporate smarter systems and more engaging player experiences.

” numerous clients are game developers,” Jin remarks, highlighting their efforts to integrate additional AI features over the last year. These include applications such as AI-driven non-player characters, adaptive gameplay mechanics, and procedurally generated content.

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

Jin says that as
Web3 games
get more intricate and feature-laden, keeping players engaged demands a deeper insight into user behavior, which conventional Web3 analytics tools frequently fail to capture.

“To accomplish this, you must gain a more profound understanding of the player and derive insights into their engagement and retention. Yet, many Web3 data solutions focus primarily on tracking financial transactions rather than analyzing user behavior,” emphasizes the CEO.

Here is where Jin’s concept of “distributed personalization” steps in, aiding in gaining deeper insights into your players.

For instance, one of the first products that Bluwhale launched was an
AI-driven wallet insight system
, designed to assist game developers in gaining insights into user engagement with their games and adjusting the experience as needed.

Initially, AI enabled Bluwhale to substantially narrow the gap between comprehending basic transactional information and genuinely grasping player behavior.

Jin states, “AI is inherently evolving into a key element of the upcoming wave of Web3 games and GameFi.”

“Features such as suggesting the best assets for the wallet owner within the game, directing players towards quests where they will invest the majority of their time and resources, or even steering users toward higher profit opportunities… these are merely scratching the surface,” he noted.

All-In-One AI Solution for Web3 Developers

Bluwhale aims to decentralize AI as one of its goals, which involves more than just implementing bots for trading or reacting to on-chain information.

Jin thinks it’s about integrating all of the AI-driven infrastructure into the blockchain to enable it to “learn autonomously, conduct transactions, and evolve.”

The company has been collaborating with Layer-1 (L1) and Layer-2 (L2).
networks
As their technology enables them to communicate with their chains.

As consumers engage with the future of the web through blockchains, Jin points out that the foundational layers for data, storage, and possibly computation will reside within Level 1 and Level 2 networks.

Nevertheless, Jin contends that AI
isn’t smart enough
to proceed with an on-chain transaction and assemble those components.

Like
OpenAI
Bluwhale aims to serve as a foundational component of infrastructure that supports “smart applications, AI models, and agents” through the utilization of on-chain assets.

Jin states that Bluwhale’s intelligent system facilitates the creation of an optimal computational setting for AI models and agents to access necessary resources whenever required for training, concluding, decision-making, and execution.

Jin points out that many decentralized applications (dApps) and artificial intelligence (AI) agents depend on centralized resources. He emphasizes this requires Web3 developers to utilize various solutions, incur higher costs, and manage extensive data, making the process inefficient.

The main focus is on accessibility. Jin aims to make Bluwhale a “single destination” where developers can integrate their AI models and agents without having to deal with the hassle of mastering complicated systems.

What’s Next: TGE and Expanding Across Multiple Chains

The most significant project on Bluwhale’s 2025 roadmap is their Token Generation Event (TGE). This event will launch $BLUAI, a native utility token designed for Bluwhale’s intelligence layer.

The company is likewise engaged in
expanding support across chains
, with the second major objective for the year being the integration of multiple chains.

This coincides with Bluwhale’s long-term objective of driving decentralized AI architecture throughout Web3, irrespective of the specific blockchain selected by developers.

L1/L2 networks are our primary collaborators for expanding the reach of insights and intelligence across different blockchains,” Jin states. “This also aligns perfectly with our TGE strategy, which aims at launching a multi-chain token that will provide numerous ecosystems visibility and entry to $BLUAI.

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