iExec launches $1M fund to empower AI innovators and DePIN For more information about the fund or to apply, visit iExec official website.
iExec has introduced a $1 million ecosystem fund aimed at accelerating development within the decentralized physical infrastructure networks (DePIN) and AI sectors. By offering equity and grant-based financing, the initiative is designed to support Web3 developers who are pushing the boundaries of privacy-first computing.
Strategic financing for Web3 builders
The new iExec Ecofund is designed to support innovation across DePIN, AI, decentralized finance (DeFi) and other emerging sectors including real world assets (RWAs), social finance (SoFi) and privacy-preserving infrastructure. Projects will receive support tailored to their development stage – whether that’s an early prototype or scaling up.
Financing is available in two forms:
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Dilutive investments (for example, stock agreements or tokens)
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Non-dilutive grants, which do not require surrender of ownership
Developers will also have access to the iExec toolkit and software development kits (SDKs), making it easier to build and deploy applications on the platform.
Beyond capital: an integrated support system
In addition to financial support, iExec offers a range of non-monetary resources:
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Technical guidance
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Strategic partnerships
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Access iExec’s confidential computing capabilities
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Participation in the newly formed AI Unbundled Alliance, an initiative to promote decentralized AI infrastructure
This comprehensive support system aims to reduce the barriers to creating complex privacy-focused solutions in Web3.
Leadership perspective
Nathan Chiron, chief revenue officer at iExec, emphasized the fund’s mission-driven approach:
“We invest in conviction, not consensus. With the launch of the RLC Ecosystem Fund, we are confident in our ability to add real value by supporting the builders who are defining the future of AI and DePIN, a future that puts privacy first.”
The role of iExec in decentralized computing
iExec positions itself as the “trust layer” for decentralized applications. By leveraging Trusted Execution Environments (TEEs), they enable confidential off-chain computations across both CPU and GPU networks. The ecosystem supports a wide range of applications, including artificial intelligence, decentralized finance, big data, and RWA tokenization.
The RLC token is central to this ecosystem, which facilitates the monetization and secure exchange of computing power, datasets, and AI models.
