Background
As traditional social platforms face challenges such as data monopolies and user value recirculation, Web3 technology offers a fresh solution for digital social interaction. However, most projects still remain focused on token incentives and have not touched the core of social engagement. In 2024, Epal, led by serial entrepreneur Lucas, launched Balance. Through the deep coupling of “AI agents + blockchain protocols,” Balance has built a decentralized ecosystem that truly enables users to own social assets and revenue rights, becoming a focal point for both capital and users.
What is Balance?
Balance is positioned as the infrastructure for Web3 social interactions and interactive entertainment, addressing two key issues:
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User Value Attribution: Converting social behaviors (chatting, liking, content creation) into measurable on-chain assets.
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AI Agent Commercialization: User-created AI avatars (Epal) can participate in real-world commercial scenarios and earn revenue.

Current Achievements:
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300,000 registered users with an average of 80,000 daily active users.
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Integrated 12 blockchain games and 5 DApp ecosystems.
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Monthly average user earnings of $150, with the highest case reaching $8,500.
Funding Details
Balance, with its clear business model and technical barriers, completed three rounds of funding within a year, raising a total of $110 million:
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Series A (July 2024): $30 million, led by Animoca Brands, for protocol layer development.
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Strategic Round (November 2024): $10 million, co-invested by a16z, to drive Key Nodes node sales.
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Ecosystem Round (February 2025): $70 million, with multiple institutional investors, to accelerate mobile platform implementation.

Investors have stated:
“Balance is the first to achieve the standardized circulation of social value, which is key for Web3 to reach the mainstream.”
Research and Development Team
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Lucas (Founder): Previously built a DeFi protocol with 500,000 daily users and led the design of Balance’s economic model.
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Norris Wang (Co-Founder): AI and privacy computing expert, developed the federated learning framework to ensure data sovereignty.
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Tech Team: 70% of the team members come from Google and Meta, holding 8 cross-patent blockchain and AI technologies.
The team adheres to a “user revenue first” principle, allocating 40% of tokens to the community incentive pool, far surpassing the industry’s average of 15%.
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