iExec Launches $1M Fund to Empower AI and DePIN InnovatorsFor more information about the fund or to apply, visit iExec’s 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 both equity-based and grant-based funding, the initiative is designed to support Web3 builders pushing the frontier of privacy-first computing.
Strategic Funding for Web3 Builders
The new iExec Ecosystem Fund is structured to fuel 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 early prototype or scale-up.
Funding is available in two forms:
Dilutive investments (e.g., equity or token agreements)
Non-dilutive grants, which do not require giving up ownership
Developers will also gain access to iExec's suite of tools and software development kits (SDKs), making it easier to build and deploy applications on the platform.
Beyond Capital: A Full-Stack Support System
In addition to financial backing, iExec is offering a range of non-monetary resources:
Technical mentoring
Strategic partnerships
Access to iExec’s confidential computing capabilities
Participation in the newly formed AI Unbundled Alliance, an initiative to bolster decentralized AI infrastructure
This comprehensive support system aims to reduce the barriers to building complex, privacy-centric 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’re confident we can add real value by backing the builders defining the future of AI and DePIN, one that puts privacy first.”
iExec’s Role in Decentralized Computing
iExec positions itself as the “trust layer” for decentralized applications. Leveraging trusted execution environments (TEEs), it enables confidential off-chain computation across both CPU and GPU networks. The ecosystem supports a wide range of applications—spanning AI, DeFi, big data, and RWA tokenization.
Central to this ecosystem is the RLC token, which facilitates the monetization and secure exchange of computing power, datasets, and AI models.
