Research & Development

Advancing the intelligence behind digital content protection.

Our research explores intelligent agents, content analysis, automated discovery, and evidence-driven workflows for the next generation of anti-piracy systems.

01Agentic AI for Anti-Piracy
02Intelligent Web Discovery
03Multimedia Content Recognition
04Automated Copyright Evidence
05Human-in-the-Loop AI Enforcement
06Continuous Monitoring Architectures

Research topics

Open questions, organized into credible work.

These are active R&D topics labeled by status. They are not represented as peer-reviewed papers, patents, completed benchmarks, or proven outcomes.

01Ongoing Research

Agentic AI for Anti-Piracy

Coordinating specialized AI agents across discovery, classification, reporting, and monitoring workflows.

Agent systems
02Ongoing Research

Intelligent Web Discovery

Semantic search, intelligent crawling, and analysis of potentially infringing public web content.

Web discovery
03Exploration

Multimedia Content Recognition

Visual similarity, perceptual fingerprints, metadata, and multimodal recognition methods for film-related content.

Computer vision
04Ongoing Research

Automated Copyright Evidence

Structured evidence capture, event timelines, traceability, and legally reviewable infringement records.

Evidence
05Ongoing Research

Human-in-the-Loop AI Enforcement

Preparing and prioritizing potential cases while keeping consequential legal actions under supervision.

Responsible AI
06Exploration

Continuous Monitoring Architectures

Efficient scheduling, event-driven analysis, distributed monitoring, fault tolerance, and scalable AI infrastructure.

Distributed systems

Responsible research

Systems should expose uncertainty, not hide it.

Content recognition and enforcement are consequential domains. Our R&D direction emphasizes provenance, controlled data access, human review, and clear boundaries between a technical signal and a legal conclusion.

Discuss research collaboration