Unlock the Value in Your Content
Archives that generate revenue.
Ad inventory that commands premiums.
Social presence that scales without headcount.
All built on Ithara. All code yours to keep.
The Reality You're Living
What We Hear From Media Leaders
"We have 20,000 hours of content. 90% of it has no metadata. We can't find anything, let alone monetize it."
"Our social team creates 10 clips a week manually. Our competitors post 50. We're losing the attention war."
"Digital platforms prove ad ROI. We can't. Budgets keep shifting away from broadcast."
"Manual tagging, editing, and localization don't scale with shrinking margins."
Sound familiar?
AI/Agent Engineering
Intelligent Systems That Transform Content Operations
Content Analysis Agent
The Problem
Massive content libraries with minimal metadata. Can't search effectively. Can't sell contextual ad placements. Can't find relevant clips for news or social.
What We Build
Agent that analyzes video and audio content frame-by-frame. Identifies scenes, objects, people, brands, emotions, dialogue. Generates rich, searchable metadata. Flags brand safety issues.
Your Experts
Editorial team validates high-value metadata, curates collections, makes creative decisions. Agent handles volume analysis.
Outcomes
90–95%
Metadata coverage increased from <10%
80% reduction
Content discovery and retrieval time
20% expansion
Contextual ad inventory
3–5×
Social and news clip production
Social Clip Generation Engine
The Problem
Social media demands constant content. Manual clip creation is expensive and slow. Viral moments missed. Competitors dominate feeds.
What We Build
Agent that monitors content continuously, identifies high-engagement moments using predictive models, auto-generates platform-optimized clips (vertical for TikTok/Reels, landscape for YouTube), adds captions, suggests copy.
Your Experts
Social team approves, refines, schedules. Creative direction stays human. Volume production goes to AI.
Outcomes
3–6×
Social clip output increased
60% reduction
Time-to-publish
40% improvement
Engagement rates
50% reduction
Cost per social asset
Contextual Ad Tagger
The Problem
Advertisers want contextual relevance. "Place my ad next to cooking content" or "not next to violence." Without metadata, you can't deliver—or prove you delivered.
What We Build
Frame-accurate contextual tagging across your content library. Brand safety scoring. Integration with ad sales systems. Reporting that proves contextual delivery.
Your Experts
Define brand rules and approve inventory. AI enforces contextual accuracy and proof at scale.
Outcomes
50% increase
Contextual ad inventory
30% improvement
CPMs
20–35% reduction
Ad sales cycle time
15% increase
Advertiser trust and renewal rates
Archive Monetization Agent
The Problem
Decades of content sitting dormant. Licensing inquiries take weeks to answer. Syndication opportunities missed. No visibility into what you have.
What We Build
Agent that analyzes archive for commercial potential, generates searchable catalog optimized for licensing buyers, identifies syndication matches, creates automated pitch packages.
Your Experts
Negotiate and close deals. AI surfaces opportunities and prepares licensing assets at scale.
Outcomes
60% reduction
Licensing inquiry response time
40% increase
Archive utilization
10% improvement
Revenue per title
70% reduction
Manual effort in catalog preparation
Localization Agent
The Problem
Content locked to original language. Manual dubbing costs prohibitive. Subtitling slow. Regional markets unreachable. International licensing blocked.
What We Build
AI-powered translation, dubbing, and subtitling. Voice cloning maintains speaker identity. Context-aware translation preserves cultural nuances. Support for 20+ languages.
Your Experts
Ensure cultural accuracy and quality. AI scales translation, dubbing, and subtitling.
Outcomes
80% reduction
Localization costs
70% reduction
Time-to-market
3–5×
Market reach expanded
5–10×
Subtitling and dubbing throughput
Data Intelligence
Unify Audience and Content Data
The Data Problem in Media
You have data everywhere, connected nowhere:
- • Linear ratings in one system
- • Streaming analytics in another
- • Digital engagement in a third
- • Ad delivery data siloed from content data
- • No unified view of audience across platforms
What Ithara Brings
Connectors for major MAM systems, ad servers, and analytics platforms. Audience data models. Content metadata standards. Real-time sync patterns.
What We Build
Unified Audience Platform
All viewership—linear, streaming, digital—in one view. Cross-platform behavior. Segment creation for ad sales.
Content Performance Lake
Every piece of content with complete performance history. What works, where, when, with whom.
Ad Intelligence Layer
Campaign performance across platforms. Attribution modeling. Yield optimization.
Rights and Availability Engine
What content is available, where, through when. Automated rights tracking. Conflict detection.
Typical Outcomes
Unified across platforms
Audience view
Automated
Reporting
Data-backed
Ad sales proposals
Proactive
Rights management
AI Ops
Operate AI Systems at Broadcast Scale
Why This Matters for Media
Media AI runs 24/7. Live events don't wait. You need:
- • High availability for real-time workflows
- • Scale for content volume
- • Monitoring that catches issues before air
- • Continuous improvement from performance data
What We Build
Content Pipeline Monitoring
Track every piece of content through analysis, tagging, and delivery. Alert on failures. Automatic retry and recovery.
Model Performance Tracking
Measure accuracy of tagging, clip selection, and recommendations. Detect degradation. Trigger retraining.
Scale Management
Handle content volume spikes (live events, breaking news). Elastic infrastructure. Cost optimization.
Quality Assurance
Automated QA for generated clips. Brand safety verification. Output validation before publish.
Typical Outcomes
99.5%+
Uptime
10x spikes
Scale handling
Before publish
Automated QA
Optimized
Infrastructure cost
Pre-Built on Ithara
Media & Entertainment Accelerators
Production-tested components your pod customizes for your environment.
| Agent/Component | Function |
|---|---|
| Content Analysis Agent | Scene detection, object recognition, metadata generation |
| Social Clip Generation Engine | Moment identification, clip creation, platform optimization |
| Contextual Ad Tagger | Frame-accurate tagging, brand safety, ad server integration |
| Archive Monetization Agent | Catalog generation, licensing optimization, pitch automation |
| Localization Agent | Translation, dubbing, subtitling, voice cloning |
| Broadcast Attribution Agent | Cross-platform measurement, ROI calculation |
| Audience Intelligence Agent | Segmentation, behavior analysis, cross-platform identity |
| MAM Connector Suite | Integration with major media asset management systems |
| Ad Server Integration | Real-time inventory and delivery data |
| Rights Tracker | Availability windows, conflict detection, expiration alerts |
How We Engage
Innovation Streaming
Everything runs in 6-week cycles with 2-week cooldowns. Each cycle delivers production-ready capability—not a report, not a roadmap, working systems that generate value.
New clients start with discovery on us. No charge, no obligation. For the right engagements, we offer gain-share options. All solutions built on Ithara. All code yours to keep.
See how we engage6 weeks
To production-ready outcomes
3 seniors
Dedicated expert pod
100%
Your code to keep
Cancel
Anytime. No lock-in.