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Mbd
MBD provides an AI-powered on-chain content API for personalized feeds in crypto consumer apps. They are building a decentralized moderation and recommendation AI protocol, offering machine-learning APIs for Web3 developers to deliver relevant social content, mints, and transactions by using both on-chain and off-chain data. Their goal is to help developers boost user engagement and retention.
Distributed
Description
MBD is building a decentralized moderation and recommendation AI protocol for low-latency consumer applications. Their flagship product is a set of machine-learning APIs for Web3 developers, designed to deliver relevant, timely social content, mints, and transactions to users by incorporating both onchain and offchain data. While decentralized social networks provide data access, MBD addresses the need for high-quality, personalized content and scalable moderation to create engaging Web3 apps. Their machine-learning systems deliver dynamic, relevant content tailored to each user, aiming for feature parity with Web2 giants. The product is accessible through a no-code feed builder and API. The custom AI models are trained on onchain data from Farcaster, Lens, Zora, Base, Ethereum, and Arweave, which can predict user preferences in real-time, boosting relevancy and content coverage. Their classification models also provide content moderation to remove spam and malicious actors, leveraging Web3 fine-tuned open-source models for cost-effective performance. ❜embed provides an API and SDK for developers to build personalized content recommendation feeds and AI agents for their applications. It delivers real-time, personalized on-chain content based on a user's social graph and on-chain activity. The service allows for the integration of social feeds, such as from Farcaster, and can combine both on-chain and off-chain data sources for tailored recommendations. Key features include spam filtering, content moderation tools, and the ability to add context on web3 topics to AI agents through semantic search. The platform is designed for low spam and high signal, aiming to keep users engaged with fresh, relevant content.Grant Funding
VC Funding
None
2024
$0
$3M