Open Source Community Fund
Grant Programme


Allocating 48% of the total (PoS) emissions to empower BalanceAI marketplace content.

BalanceAI Grant Programme supports top-tier model and agent development, fosters cutting-edge research and curation, and promotes ethical, diverse, and sustainable AI innovation.

Building a Vibrant Community Ecosystem
Empowering AI Innovation Through
Community Grants
An open-source community fund initiative designed to enhance the quality of our marketplace by harnessing contributions from diverse programming languages and empowering the curator system to ensure TOP content availability within the marketplace.
Grants Programme Workflow
Grants Programme Workflow
48% Allocation of the total emissions
The protocol is designed to allocate the largest share of emissions (48%) to the community fund
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Grants as the first layer
As the foundational structure of BalanceAI's vision, grants are the driving force behind the quality of the marketplace
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AI Models/Agents Funds
Support for model providers (via Balance Wrapper SDK), along with agent providers and third-party researchers
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Curators
The curator role functions as an entity responsible for ensuring the quality of the models and/or agents provided (via BalanceAI Wrapper SDK).
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Marketplace
Central hub enabling users to discover, share, and acquire pre-trained AI and machine learning models—an exchange layer within the protocol
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Consumers
The concluding layer of the marketplace establishes direct connectivity between providers via Web3 and the native token BAI, facilitating monetization
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Exploring Innovation and Ethical AI Development
Delving into BalanceAI's
Grant Programme
BalanceAI aims to serve as both a blockchain network and a central hub for a scientific and programming community dedicated to creating and disseminating valuable, high-quality content in artificial intelligence.

Explore how our grant program fosters collaboration, ensures quality, promotes diversity in AI advancements, and emphasizes continuous improvement through iterative adaptation based on ongoing feedback, technological advancements, and emerging trends in AI research and development.
Ensure Quality
Through stringent evaluation processes, we uphold high standards of quality and relevance for all content in our ecosystem.
Promote Collaboration
Facilitate robust collaboration among researchers, developers, and the community, fostering an environment where knowledge and resources are shared for mutual benefit.
Empower Diversity
Promote and support participation from diverse backgrounds, ensuring a wide range of perspectives and ideas contribute to our community and solutions.
Ethical AI Development
Prioritize ethical considerations in AI development, ensuring that all models and agents adhere to principles of fairness, transparency, and accountability.
Educational Outreach
Develop educational programs and resources to empower individuals with the skills and knowledge needed to engage meaningfully in AI development and research.
Long-Term Sustainability
Implement strategies that ensure the sustainability of AI advancements, considering environmental impact, scalability, and long-term societal benefits.
Open Access and Transparency
Foster an environment of openness and transparency by making research findings, methodologies, and outcomes accessible to the broader community.
User-Centric Approach
Prioritize user experience and feedback in the development of AI models and agents, ensuring solutions are practical, intuitive, and meet real-world needs.
Enhance Developer-Enterprise Relationships
Develop frameworks that leverage the relationship between developers and enterprises, creating a mutually beneficial environment that fosters innovation and scalability.
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