CLEAR® AI Agentic Platform: Orchestrating the Future of Agentic Media Workflows

In an era where media companies are expected to produce, process, and distribute content at lightning speed across a multitude of formats, languages, and platforms; the need for intelligent automation has never been greater. Traditional MAM systems and static workflows no longer make the cut. The future is agentic—and CLEAR^® AI is leading the way.

Prime Focus Technologies has introduced the CLEAR^® AI Agentic Platform—a transformational leap forward for Media & Entertainment (M&E) enterprises. At the heart of this innovation is the CLEAR^® AI Agent Orchestrator, a secure, scalable infrastructure designed to integrate AI agents—native, custom-built, or third-party—across media supply chains with astonishing precision and speed.

Let’s explore why the CLEAR^® AI Agentic Platform, its extensibility, stack and benefits.

What Is the Agentic Paradigm?

AI agents are no longer static scripts or single-purpose automation routines. They are semi- autonomous or autonomous, intelligent entities—conversational, compos-able, and collaborative. These agents work individually or as orchestrated teams to carry out complex workflows in post-production, content management, metadata enrichment, localization, and more.

CLEAR^® AI empowers users to create, manage, and operate media functions and workflows using natural language instructions. From discovery to delivery, agents can be directed through chat interfaces, APIs, or integrated UIs, and they respond with reasoning, recommendations, and real-world execution.

At its core is a multi-agent, multi-LLM, multi-cloud and multi-modal architecture built for the dynamic needs of modern M&E environments.

Meet the Agent Orchestrator

The CLEAR^® AI Agent Orchestrator is the brain of the platform. It manages an intelligent Agent registry that identifies and deploys the right agent for each task based on capability, cost, data requirements, and processing context.This grants flexibility in agent development, namely:

• Built natively in CLEAR AI’s Agent Factory
• Developed by customers or sourced from open-source ecosystems
• Integrated from platforms like AWS Bedrock, Azure OpenAI, and other AI agent hubs

The platform also enables agentic group chats, where multiple agents collaborate in real-time. For example, a Metadata agent, a Synopsis agent, an Insights agent and a Highlights agent might collaborate to produce snackable content. Or, a Localization agent group can use Transcription agent, Translation agent and a QC agent to create accurate, low-cost subtitles for publishing.

Multi-Layered Architecture, Media-First by Design

The strength of CLEAR^® AI lies in its layered approach:

1. Data Layer

• Processes multimodal media (video, audio, images, text)
• Works across live and file-based workflows
• Integrates internal databases, external knowledge sources, and metadata layers

2. Agent Layer

• Includes 20+ ready-to-use agents for:
  • Metadata generation
  • Highlight creation
  • Reframing for vertical formats
  • Subtitling and localization
  • Content QC and compliance
  • Sports intelligence
  
  
• Supports plug-and-play agent integration via API or cloud-hosted services
• Backed up with 50+ PFT’s AI models, best of breed 3 rd party AI models from Azure, AWS, Google, OpenAI, Claude, and others.

3. UI/API Layer

• Features a rich set of web tools (Content Studio, Metadata Editor, Compliance Viewer)
• Easily invoke tasks and workflows from a conversational AI pane
• Enterprise-grade APIs for seamless system integration

Extensibility That Understands Media’s Real Challenges

One of CLEAR^® AI’s core differentiators is its agentic extensibility—built not just for short-form LLM-driven tasks, but for long-lead media content processing.

Most AI agents in traditional platforms are synchronous, LLM-centric, and designed for tasks that resolve in milliseconds to seconds (e.g., chat, summarization). But media processing involves heavy, asynchronous, long-duration jobs—from extracting deep metadata from hours of content, performing segmentation on them and then creating transcripts of long form episodes, shows or full-length feature films.

CLEAR^® AI’s architecture handles this with:

• Asynchronous task orchestration: Agents can operate on media workflows that span hours without blocking or losing state.
• Dynamic workflows and reporting: Creates agentic groups of asynchronous jobs each performing and reporting to supervisor agents to collaborate dynamically.
• Federated task execution: CLEAR^® AI can orchestrate agents across clouds or hybrid environments, depending on the task complexity, data gravity, or cost efficiency.

This makes CLEAR^® AI fundamentally built for media, while remaining extensible for any type of intelligent workflow.

Why “Multi” Matters: LLMs, Clouds, Modalities, and Engines

A hallmark of CLEAR^® AI’s platform design is its multi-dimensional AI orchestration. In practice, this means:

Multi-LLM

Different tasks require different strengths—OpenAI’s GPT might excel at narrative generation, while Claude may be better suited for visual analysis of sport events and faster turnaround. An open source model might be specifically good at analysis of certain media scripts. CLEAR^® AI intelligently selects the best-performing LLM per task after benchmarking across vendors.

Multi-Cloud

Whether your AI agents are hosted on AWS, Azure, or other cloud providers, CLEAR^® AI connects and orchestrates tasks between all of them. Enterprises can optimize for cost, and performance while taking benefits of customer cloud credit commitments.

Multi-Modal

Media workflows span video, audio, image, and text—and CLEAR^® AI handles all four. From visual compliance checks to audio-based scene detection, the platform was built ground-up to understand and act on multi-modal content.

Multi-AI Engine

Beyond LLMs, CLEAR^® AI leverages a wide array of AI models: computer vision, audio fingerprinting, speech-to-text, facial recognition, object detection, and domain-specific models for sports, compliance, or marketing. This hybrid model approach ensures real-world relevance and accuracy.

In short, “multi” is not just a capability—it’s the foundation for scalable, flexible, intelligent operations across the media lifecycle.

Agentic Groups: Media-Centric Agents at Your Fingertips

CLEAR^® AI’s agent registry includes 20+ pre-built agents categorized into functional groups for fast deployment:

• Metadata Agents: Deliver near-human understanding of content using multi-modal assessment and optimized AI inference paths.
• Discovery & Search Agents: Perform deep search across federated databases, metadata, and document repositories with contextual ranking.
• Content Studio Agents: Handle highlight extraction, thumbnail selection, content reframing, title/synopsis generation, and promo ideation.
• Localization Agents: Automate subtitling, translation, QC, and transcript generation with tight integration into existing localization workflows.
• Automation & QC Agents: Manage versioning, deduplication, compliance checks, and content conforming.
• Sports Intelligence Agents: Distinguish game vs. non-game footage, generate event highlights, and synchronize with real-time feeds.

And the library continues to grow—with new agents constantly added based on evolving customer needs and industry trends.

Why CLEAR^® AI Stands Out: Under the Hood

CLEAR^® AI’s power is in its deep system intelligence and engineering rigor:

Fine-Grained Control

• Agentic routing that will optimally invoke the appropriate agent for the task
• Prompt routing to minimize ambiguity
• Guardrails to avoid LLM hallucinations triggering the wrong agents

Cost Efficiency

• Task cost optimization via smart LLM-agent routing
• Multi agent chat can quickly consume a lot of LLM tokens before making a decision and then executing. CLEAR^® AI chooses multi agentic chat route only when required.
• Token consumption management, using context-aware prompts, and checking for summarized context relevance while executing every operation.
• Scalable cloud infra usage—spin up compute only when needed

Technical Agility

• Distributed agent mesh architecture for horizontal scaling of agentic pods on demand
• Native support for long-duration job orchestration (video analysis, etc.)

Security and Safety

• LLM guardrails and output moderation
• Secure user management
• End-to-end encryption for content at rest and in transit
• Tested through internal and external security tests and certification

CLEAR^® AI isn’t just about running agents—it’s about engineering dependable, intelligent digital workers and models with enterprise-grade control extensibility and security.

Conclusion

The CLEAR^® AI Agentic Platform is an agentic system for intelligent media workflows. By blending multi-agent orchestration with cloud-native extensibility, a powerful multi-modal AI engine stack, and deep M&E domain focus, CLEAR^® AI stands apart in both vision and execution.