RightsGuard™ AI - Intelligent Content Rights Orchestration System
Orchestrates specialized AI agents for intelligent claim management across VOD, live streams, and short-form content. Features GenAI detection, deepfake analysis, sentiment-aware policy decisions, and automated creator partnership programs.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
Mission Control configuration for content rights management showing music catalog setup, business rules, and estimated UGC processing output
Real-time agent coordination displaying active agents with processing pipeline stages, task queues, and performance metrics
AI-powered Decision Engine showing policy recommendations with confidence scores, revenue potential, and sentiment analysis
Command Center results dashboard presenting mission completion metrics, revenue impact analysis, and cross-platform processing summary
AI Agents
Specialized autonomous agents working in coordination
Orchestrator Agent
Content rights workflows span multiple platforms, content types, and decision paths requiring intelligent coordination to maximize revenue while minimizing creator friction.
Core Logic
Claude Sonnet 4.5 agent with RAG-enhanced multi-agent planning. Coordinates agents in parallel execution pipelines for scan, analyze, decide, execute, and monitor stages. Maintains workflow state, handles priority queuing, and optimizes throughput across daily content matches.
Content Scanner Agent
Content fragments appear across platforms in various forms—full copies, clips, background audio, reaction videos—requiring multi-modal detection capabilities.
Core Logic
GPT-4o powered multi-modal fingerprinting with neural embeddings. Scans YouTube, Facebook, Instagram, TikTok, Twitter simultaneously. Detects audio tracks in video backgrounds, identifies visual content in reaction videos, and processes short-form content with platform-specific algorithms.
Fingerprint Specialist Agent
Different content types require specialized fingerprinting approaches—audio tracks need acoustic fingerprints while video content requires visual and temporal analysis.
Core Logic
Specialized agent for neural fingerprint generation and matching. Generates audio fingerprints using Chromaprint and acoustic embeddings, video fingerprints with temporal feature extraction, and visual fingerprints for thumbnails and frames. Maintains fingerprint database with fast matching latency.
Sentiment Analyzer Agent
Aggressive enforcement against positive fan content damages brand reputation and creator relationships. Sentiment context is essential for optimal policy decisions.
Core Logic
Analyzes community tone, comment sentiment, and brand perception around matched content. Classifies content as fan appreciation, criticism, parody, or commercial piracy. Provides sentiment scores influencing monetize vs. block decisions. Identifies potential creator partnership candidates from positive engagement metrics.
Revenue Analyzer Agent
Monetization potential varies dramatically based on view velocity, audience demographics, geographic distribution, and platform CPM rates requiring real-time revenue estimation.
Core Logic
Calculates monetization potential for each content match using view velocity analysis, geographic CPM rates, audience demographic value, and historical performance data. Provides revenue forecasts for monetize vs. track decisions. Identifies high-value content requiring priority processing.
Policy Agent
Business rules for content decisions are complex—varying by territory, content type, creator history, and commercial context—requiring automated policy application at scale.
Core Logic
Enforces configurable business rule engine with territory-specific policies, content-type rules, creator whitelist/blacklist, and commercial use detection. Applies monetize, track, or block policies with confidence scoring. Handles short-form content strategies for TikTok/Reels/Shorts differently from long-form VOD.
Execution Agent
Claim submission requires platform-specific formatting, API integration, and compliance with each platform's policies and rate limits.
Core Logic
Submits monetization claims and takedown requests through YouTube Content ID, Facebook Rights Manager, TikTok, and Instagram APIs. Handles platform-specific claim formats, respects rate limits, and tracks claim status. Processes auto-mute for live streams and appeals for disputed claims.
GenAI Detector Agent
AI-generated covers, voice clones, and synthetic music increasingly infringe on original content rights but evade traditional fingerprint detection methods.
Core Logic
Specialized agent detecting AI-generated content including voice clones, AI music covers, and synthetic regenerations. Uses spectral analysis for AI voice detection, generation artifact identification, and model signature recognition. Provides AI confidence scores for content classification and appropriate policy routing.
Deepfake Analyzer Agent
Deepfake technology enables unauthorized use of artist likenesses, voice manipulation, and synthetic media that traditional detection cannot identify.
Core Logic
Performs frame-by-frame analysis for face swap detection, voice clone identification, and lip sync anomalies. Uses temporal inconsistency detection, compression artifact analysis, and neural network-based authenticity scoring. Flags content for legal review when deepfake confidence exceeds thresholds.
Live Monitor Agent
Live streams broadcasting protected content require real-time detection and intervention before significant viewership accumulates during the broadcast.
Core Logic
Real-time live stream monitoring across YouTube Live, Facebook Live, Twitch, and TikTok Live. Tracks concurrent viewer counts, chat velocity, and copyright usage timeline. Enables auto-mute for audio infringement during broadcasts. Provides fast detection latency for live content protection.
Attribution Agent
Content spreads across platforms through re-uploads and cross-posting, making it difficult to identify original sources and track distribution chains.
Core Logic
Cross-platform content source identification using temporal analysis, upload pattern tracking, and account relationship mapping. Identifies original uploader vs. re-uploaders, tracks content propagation chains, and attributes views to source platforms. Supports creator partnership identification for legitimate derivative creators.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
6 technologies
Architecture Diagram
System flow visualization