1.Multi-Layer Blockchain Architecture

• Layer 1 (Security & Settlement) – Manages immutable identity and AI model ownership records.

• Layer 2 (Fast AI Computation Layer) – Handles off-chain AI training and inference with low latency.

• Layer 3 (Decentralized Data Streams) – Enables real-time streaming of big data for AI analysis.

Key Features of Stream Analytix

5. Decentralized Data Marketplace

• Enables data owners to securely share datasets with AI models without exposing raw data.

• Utilizes zero-knowledge proofs (ZKPs) to verify data authenticity without revealing its contents.

• Supports differential privacy and homomorphic encryption for secure AI computations.

4. Blockchain-Powered Data Economy

• Uses the YGGDRASIL token (YGTY) to incentivize participants for providing AI models, data, and computing power.

• Smart contracts automate payments for AI-based predictions and analytics services.

• Supports micropayments for AI inference requests.

3. Context-Aware AI & Adaptive Learning

• Workers (AI nodes) forecast each other's performance, creating a context-aware learning process.

• Predictive modeling adapts to real-time data changes, improving accuracy dynamically.

• Self-improving algorithms ensure optimal decision-making.

2.Decentralized AI Model Training & Execution

• Uses a peer-to-peer machine learning network where AI models train and validate across multiple decentralized nodes.

• Ensures secure data access without central authority control.

• Enables continuous AI model improvements through self-learning mechanisms.

Stream Analytix vs. Traditional AI Networks

Our Business Areas