About Lionsgate Intelligence Network
We are a premier blockchain intelligence and cybersecurity firm dedicated to illuminating the dark web. Our mission is to provide organizations, law enforcement, and enterprises with the operational clarity needed to navigate the complexities of Web3.
The NEMESIS Engine
NEMESIS is our flagship intelligence platform. Built for speed and accuracy, it leverages asynchronous data pipelines to construct live, interactive visualizations of massive transactional graphs in seconds.
Headquartered in a highly secure environment, Lionsgate maintains strict compliance with global evidentiary standards for court-ready intelligence.
Core Capabilities
NEMESIS provides industry-leading OmniChain forensic analysis by intercepting, tracing, and visualizing cross-chain fund flows to uncover obfuscated threats.
Evidentiary Tracing
Generate dynamically named, court-ready PDF dossiers and robust CSV/JSON ledgers for law enforcement with a single click.
Multi-Chain Interception
Seamlessly track high-velocity asset movements natively across Ethereum, Polygon, BSC, Arbitrum, Optimism, Base, Bitcoin, and Tron.
Behavioral Clustering
Automatically group unknown wallets into Threat Actor Syndicates using machine learning (Scikit-Learn DBSCAN) to detect common co-spend patterns.
Dark Web Fusion
NEMESIS ID instantly links wallet addresses to real-world entities, known mixer addresses, sanctioned entities, and CEX hot wallets.
Trace Content & Details
The trace details represent the atomic unit of the NEMESIS investigation. Every transaction is parsed, analyzed, and enriched.
1
Omni-chain Ledger Recording
All inbound and outbound transfers are stored in MongoDB with full timestamp, block height, and deterministic routing paths. This ensures total data persistence and auditing capability.
2
Nemesis Trace ID Generation
Each visualization is assigned a globally unique Trace ID, allowing synchronous reconstruction of the state space at any time via the landing page retrieval module and REST API endpoints.
3
CEX Exchange Mapping
Terminal hops are cross-referenced with our known-custodial exchange database to pinpoint fiat off-ramp locations. Subpoenas can then be directly targeted to freeze these endpoints.
Operational Workflow
NEMESIS operates on a multi-threaded, parallel execution workflow to maximize throughput and minimize tracing time.
1
Seed Ingestion
Target wallets and trace parameters (thresholds, depth, chains) are injected into the asyncio memory queue via the UI or REST API.
2
Parallel Traversal
The asynchronous engine uses Breadth-First Search (BFS) to concurrently spider outwards across multiple blockchains, mapping inputs and outputs up to the maximum operational depth. It natively bypasses bridges and identifies mixer deposits.
3
DBSCAN Intercept
Upon completion, the ML module scans the ledger matrix, clustering unidentified wallet addresses based on behavioral flow similarities. The Playwright OSINT scraper resolves any unknown tags against dark web databases.
4
Graph Hydration
The backend broadcasts the unified JSON ledger to the frontend via WebSockets for real-time physics rendering, while simultaneously saving state securely into MongoDB.
System Architecture
Our platform is built upon a high-performance, enterprise-grade technology stack designed for rapid graph traversal and parallel execution.
Backend Engine
Python 3 with FastAPI and asynchronous I/O (aiohttp) orchestrating thousands of simultaneous blockchain node requests through semaphore-locked queues.
Data Aggregation Layer
Unified integration with Etherscan V2, Mempool.space, OKLink, and proprietary OSINT databases for immediate entity resolution.
Machine Learning Pipeline
Built-in Scikit-Learn DBSCAN models analyze transactional velocities to automatically cluster malicious actors into recognizable threat syndromes.
Frontend Visualization
A highly optimized HTML5 Canvas & Vis.js physics engine capable of rendering thousands of nodes and edges smoothly in real-time.
The Tracing Engine
The heart of NEMESIS is the OmniChainEngine, a custom-built Breadth-First Search (BFS) graph traversal daemon designed to parse millions of data points instantly.
High Concurrency
Uses asyncio semaphores to hammer RPC nodes and indexers continuously without triggering API rate-limits.
Dynamic Pruning
Automatically trims dust transactions and irrelevant pathways to keep the visualization clear and focused on the target asset threshold.
State Preservation
All discoveries are synchronized in MongoDB, enabling retrospective analysis and PDF generation without needing to re-poll the blockchain.