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PROJECT NEMESIS Lionsgate Intelligence Network

PROJECT NEMESIS

Omni-Chain Identity Profiling & Intelligence Ledger

About

Lionsgate Nemesis Intelligence Network

A specialized omni-chain intelligence platform designed for rapid forensic attribution across the global cryptocurrency ecosystem. Built by elite cybersecurity and intelligence experts, Nemesis powers high-stakes investigations for top-tier law enforcement and institutional auditing firms worldwide.

Our mission is to illuminate the dark web and dismantle obfuscated threat actor syndicates with military-grade behavioral attribution.

Capability

Real-time Omni-Chain Tracing

Simultaneously trace funds across EVM (Ethereum, BSC, Polygon, etc.) and Non-EVM (Bitcoin, Solana, Tron, Ripple, Stellar) networks without manual bridge inference.

Deep AI Evidence Generation

Leverages Gemini 2.5 Flash to automatically reverse-engineer smart contract calls, decode 4byte signatures, and generate human-readable forensic reports on the fly.

Graph Neural Visualization

High-performance physics-based node rendering via Vis.js capable of visualizing thousands of wallet interactions instantly.

Content / Details

The Nemesis Platform aggregates and cross-references data from:

  • Public Ledgers: Direct RPC node integration for unfiltered transaction mempool and ledger access.
  • Proprietary Threat Intel: Over 45 million clustered wallet labels mapping to CEXs, mixers, sanctions lists (OFAC), and known threat actors.
  • Bridge Liquidity Pools: Automated mapping of Thorchain, LayerZero, Stargate, and Symbiosis cross-chain transfers.
  • Smart Contract ABIs: Integration with 4byte.directory for raw bytecode decompilation.

Note: All generated content is chronologically hashed and signed to ensure chain of custody for legal proceedings.

Workflow

1

Seed Ingestion

Enter a target wallet address or transaction hash. Nemesis auto-detects the originating chain.

2

Recursive Discovery

The engine scans outward based on configured hops and depth thresholds, traversing bridges automatically.

3

AI Contextualization

Suspicious smart contract interactions are forwarded to the Gemini AI module for forensic translation.

4

Report Generation

Graph topologies and transaction ledgers are compiled into exportable, court-ready PDF/JSON documents.

Architecture

FRONTEND: React/Vanilla SPA + Tailwind CSS + Vis.js Network Graphs
BACKEND CORE: FastAPI (Python 3.11) + Uvicorn + Asyncio
DATA LAYER: MongoDB (Trace Storage, Wallet Labels, Session Caching)
AI SUB-SYSTEM: Google GenAI (Gemini 2.5 Flash) via native SDK
BLOCKCHAIN I/O: Etherscan APIs, OKLink, Custom RPC nodes
INFRASTRUCTURE: Cloudflare Pages (CDN) ↔ Render (Compute) ↔ MongoDB Atlas