ZKAI Labs is developing a social personalization platform that utilizes real-time AI models to create tailored feeds and content moderation for Web3 social applications. This technology enhances user engagement by filtering and ranking content based on individual preferences, while automating the removal of spam and low-quality posts.
Funding
$3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
MNPCFounders
Product
Problem
Web3 social applications struggle with irrelevant content, spam, and difficulty in surfacing high-quality posts, leading to decreased user engagement and a degraded experience. Existing content moderation techniques are often inadequate for the unique challenges of decentralized social media.
Solution
ZKAI Labs offers a social personalization platform that leverages real-time AI models to deliver tailored content feeds and automated content moderation for Web3 social applications. By integrating pre-built AI models, applications can filter and rank content based on individual user preferences, increasing user engagement and retention. The platform automates the removal of spam, low-quality posts, and malicious actors, ensuring a higher quality user experience.
Target Audience
The primary target audience includes Web3 product teams and developers building decentralized social media applications, NFT platforms, and other community-driven platforms.
Features
- Real-time AI models for personalized content feeds in Web3 social applications
- AI-powered spam detection and removal to maintain content quality
- Customizable feed filters based on media types, authors, and channels
- Support for multi-media and multi-language content analysis
- No-code feed builder for easy customization and deployment
- API access for integration with existing Web3 platforms
- Impression Modeling for off-chain data training