Our Mission
Pearl Protocol enables collaborative model training while preserving data privacy and ensures fair compensation for contributors.
Privacy-First
Advanced differential privacy and federated learning ensure your data never leaves your control.
Decentralized
Built on Solana blockchain with IPFS storage for truly decentralized AI model development.
Fair Rewards
Contributors are fairly compensated based on their training contributions and model performance.
How Pearl Protocol Works
1. Model Announcement
Researchers announce new federated learning models with privacy budgets and training parameters.
2. Participant Registration
Data owners join training sessions and contribute their local model updates while keeping data private.
3. Federated Training
Models are trained collaboratively across participants using differential privacy guarantees.
4. Rewards Sharing
Model creators deposit rewards which is distributed fairly to all training contributors.
Technology Stack
Solana Blockchain
Fast, low-cost transactions for model ownership and rewards distribution
IPFS Storage
Decentralized storage for model weights and training artifacts
Differential Privacy
Mathematical guarantees for data privacy during training
Federated Learning
Collaborative training without centralized data collection
Our Vision
We envision a future where AI development is truly collaborative, privacy-preserving, and equitable. Pearl Protocol makes it possible for organizations and individuals to contribute to groundbreaking AI research while maintaining full control over their data and receiving fair compensation for their contributions.
Join the Beta Waitlist
Get early access to Pearl Protocol and be among the first to train AI models with privacy-preserving federated learning.