Technology Overview

DeepSnitch AI is powered by a modular, decentralized surveillance stack that fuses advanced machine learning, graph analytics, and real-time data ingestion across multiple blockchains and social platforms. Each agent is built on a robust AI tech stack and custom infrastructure, ensuring actionable intelligence that is fast, reliable, and exclusive.


πŸ“Š Custom Data Pipeline

DeepSnitch operates a proprietary data pipeline that connects directly to blockchain nodes via custom RPC endpoints. This enables high-frequency ingestion of raw transaction data, mempool activity, and smart contract events across supported chains.


πŸ€– AI/ML Engine

The core analytics layer leverages a mix of supervised and unsupervised machine learning models, including clustering, anomaly detection, graph neural networks (GCN, GAT), and natural language processing (NLP) frameworks. Models are trained and updated continuously to adapt to evolving market behaviors and attack vectors.


πŸ”— Integration Layer

The platform aggregates on-chain data with off-chain intelligence from social media (Twitter, Telegram), using APIs and custom crawlers to enrich signals and correlate behavioral anomalies with narrative shifts.


πŸ” Security & Privacy

All user data is encrypted (AES-256), and the system employs decentralized identity and zero-knowledge proofs for privacy-preserving analytics.