Decentralized
Intelligence Protocol
A peer-to-peer network where AI models collaborate, learn, and evolve together. No servers. No surveillance. Just pure, distributed intelligence.
Beyond Traditional AI
We're not just decentralizing AI—we're reimagining how intelligence works
Adaptive Mesh Network
Self-organizing topology that dynamically routes queries to the most capable nodes, ensuring optimal response times and resource utilization.
Zero-Knowledge Learning
Train models collaboratively without exposing raw data. Our cryptographic protocols ensure privacy while maintaining model accuracy.
Real-Time Evolution
Models continuously improve through peer interactions. Every query contributes to the collective intelligence of the network.
Network Architecture
Three layers working in perfect harmony
Edge Intelligence
Lightweight models running directly on user devices. Each node specializes through efficient LoRA adaptations, creating a diverse ecosystem of expert agents.
→ Specialized Expert Node
→ 10x faster inference
→ 100% data privacy
Distributed Node Network
Semantic Routing Layer
Knowledge Routing
Our semantic DHT intelligently routes queries to the most knowledgeable nodes. No central directory needed—the network self-organizes based on expertise.
→ Hash → DHT Lookup
→ Connect to Expert Nodes
→ Aggregate Responses
Collective Learning
Nodes form temporary coalitions to train together. Using federated learning with differential privacy, the network gets smarter while preserving individual privacy.
→ Exchange Gradients
→ Apply Differential Privacy
→ Update Global Model
Federated Learning Cluster
Build the Future With Us
We're assembling a team of visionaries to create the infrastructure for truly decentralized AI. This is your opportunity to be part of a paradigm shift in artificial intelligence.