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Belong Foundation raises $8M to grow its Belong CheckIn tokenization system, merging DeSoc and RWAs for smarter loyalty rewards.
Author: Akshay
October 31, 2025 – The Belong Foundation has secured $8 million in a strategic investment round to accelerate the development of Belong CheckIn Tokenization, its flagship IRL-to-blockchain protocol. Backed by a diverse syndicate of investors from AI, DeFi, and fintech, the initiative aims to merge physical interactions with on-chain incentives.
Founded in 2023, Belong Foundation gained early traction through accelerators like Cointelegraph Accelerator, Berkeley Blockchain Xcelerator, and Google’s Web3 Scale Program. These incubators helped refine Belong CheckIn Tokenization with zk-proof integrations and EVM interoperability.
Its early versions targeted event check-ins and brand activations, bridging Web3 identities with real-world participation. As RWAs and DeSoc ecosystems grew in 2024–2025, Belong’s model evolved to address the global loyalty market—valued at $300 billion—by enabling programmable, interoperable reward systems across chains.
With the $8 million raise, Belong plans to scale Belong CheckIn Tokenization pilots globally, beginning in Asia and Europe. The initiative aims to turn every verified visit into a blockchain-anchored data point, fostering long-term engagement between venues and users.
By 2030, Belong envisions loyalty becoming a tokenized asset class, where ownership, reputation, and rewards flow seamlessly between digital and real economies. While regulatory clarity and data verification remain hurdles, the foundation’s compliance-first approach and transparent architecture position it as a frontrunner in the tokenized loyalty frontier.
Belong Foundation’s $8 million funding round, announced October 31, 2025, accelerates Belong CheckIn Tokenization—a DePIN and RWA protocol that converts physical check-ins into on-chain rewards. Backed by AI, DeFi, and fintech investors, it targets the $300B global loyalty market, bridging DeSoc with verifiable IRL interactions.
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