ORIGIN STUDIOS
× LIVE NATION
Intelligence and Applied AI
"I'm interested in the gray area — not black, not white. Context is the new avant-garde."
— Virgil Abloh
FEBRUARY 2026
CONFIDENTIAL
Origin Studios
Applied AI Studio | Entertainment Intelligence
Origin Studios is an applied AI studio focused on entertainment intelligence. We combine computer vision, deep social listening, and multi-agent AI orchestration to help entertainment companies make better decisions — from content strategy to ticket sales.
Content Intelligence (Signal)
Reverse-engineer what works algorithmically using computer vision + NLP — not just captions and hashtags, but what's actually happening in the content.
Quant-Based Marketing
Data-driven content formats optimized for specific audience demographics, 100% organic reach.
AI Orchestration
Multi-agent systems that can act as your innovation arm — evaluate, optimize, and automate across marketing channels.
Network Strategy
Build owned audience networks that become permanent marketing assets.
Origin Studios
The Team
Gabriel Paxton
Founder
Ex-Warner Music innovation. 10 years in music tech. Marketing, content, AI orchestration.
Ryan Fiorentino
Strategy & Design
Senior Systems Engineer, Advanced Strategy Director at NASA JPL. White House recognized.
Suhass Bhat
ML Lead
Rhodes Scholar, Oxford PhD. Harvard BS in Computer Science. Machine learning and AI architecture.
Tibor Knowles
AI Systems
Ex-Disney Engineering. Built streaming infrastructure for Disney+.
Plus a network of specialized engineers and analysts
Social Proof
What We Did for Warner Music
The Problem
Catalog revenue declining year-over-year. Thousands of catalog artists with little to no active marketing. Warner needed a scalable way to remarket the catalog without ballooning headcount or ad spend.
The Solution
Automated, intelligence-driven content channels that market catalog at scale. 100% automated. Zero ad spend.
Channel growth averaging 4-7% week-over-week. Find New Music is one channel in our portfolio — we've built this methodology to be repeatable across verticals: music discovery, event marketing, artist promotion, and more.
How We Did It
4,000 music accounts analyzed — 250,000+ posts tracked over a 90-day performance window to reverse-engineer viral hooks, pacing patterns, and visual treatments
3-5 posts/day cadence optimized for algorithm preference windows
100% automated from format selection to thumbnail generation to posting schedule
Zero paid promotion — pure algorithmic distribution through format intelligence
$0
Origin vs
$0
Agency
Cost per post — 100% automated, zero ad spend
The Opportunity
The Opportunity | Live Nation
"What we're really looking for is someone who understands AI and can take all this information and put it into action."
— Patrick Dentler, C3 Presents
Turning Live Nation's data into actionable intelligence
- Live Nation controls one of the largest entertainment datasets on Earth — millions of fans, thousands of events, billions of behavioral signals.
- But content strategy is still manual. Paid digital (80% of marketing budget) isn't optimized by computer vision intelligence.
- Every campaign is a guess. Every A/B test is anecdotal. There's no quantitative system analyzing what actually drives ticket sales.
What Origin Studios offers:
Signal Intelligence Platform
For every channel or demographic we approach, we analyze 4,000+ accounts over a rolling 90-day performance window — creating active, continuously-updated intelligence. Computer vision and NLP identify what works at the frame level, not just captions and hashtags.
RPI Methodology
Relative Performance Index: (Engagement Rate / Account Baseline) × (1 + Viral Coefficient). Statistical threshold: p < 0.05, minimum 50 posts per format. This methodology powers channels like Find New Music (139K followers, 170M+ views, 5-10K weekly growth).
Multi-Agent AI Orchestration
Autonomous AI agents that analyze, optimize, and automate across channels. Research agents, content optimization agents, audience intelligence agents — all working in parallel.
Proven Methodology
We've done this for Warner Music (catalog remarketing), Overwatch (Web3 security community), and wellness brands (audience building). Every project starts with Signal analysis, ends with measurable ROI.
Methodology: How Signal Actually Works
1. Computer vision models analyze every frame of 4,000+ videos (not captions — what's literally in the pixels)
2. NLP extracts hooks, CTAs, narrative structures, audio design patterns
3. Statistical testing (p < 0.05, minimum 50 posts per format) identifies what actually drives engagement
4. Attribution models (multi-touch, first/last weighted) connect content → ticket clicks
Methodology inspired by Claude Hopkins' "Scientific Advertising" (1923) + modern computer vision. Same logic, better tools.
We've built a system that turns content into quantifiable ticket sales while reducing paid media costs. Implementation timeline depends on your scope and priorities.
Content Analysis
What We Found | 4 Videos Analyzed
We analyzed 4 videos from @livenation and @bonnaroo using Signal's content intelligence framework.
- Visual Engagement — What's happening in the frame and how to optimize it
- Hook Analysis — First 2 seconds that determine watch-through rate
- Audio Optimization — Sound design for algorithm and phone speakers
- CTA Strategy — Converting viewers into engagers
- Storytelling Structure — Narrative framing that drives completion rate
Here's what we'd change — and why it would drive more engagement and ticket sales.
Visual Engagement
Your shot is fantastic and captures the energy well. A slow, almost unnoticeable zoom-in during the clip can build intensity. Gradually increase the scale to slowly push in on Miguel, timing the tightest point of the zoom with the peak of his vocal run.
Captions
The branded text is informative, but adding a viewer-focused text overlay builds immediate anticipation. Add text that says 'Wait for this note...' that appears in the first second and stays for 2-3 seconds.
Audio & Music
The live audio captures the concert feeling perfectly. Applying a subtle bass boost and light compression will make the sound feel fuller and more powerful through phone speakers.
Call To Action
The current description sets the scene, but doesn't explicitly ask for engagement. Change the caption to 'The energy in the room was unreal. Who else got chills? 👇' to encourage comments.
Audio & Music
The video's audio is fantastic, but reach could be limited if it's not algorithmically tied to the official trending sound. When uploading, search for and select the official 'Stick Season - Noah Kahan' sound to tap into its massive audience.
Hook
The opening shot is a great visual hook. Adding a text overlay in the first two seconds creates an immediate 'pattern interrupt'. Display: 'POV: You finally get to see that song live'.
Call To Action
You've captured an amazing moment, but there's no prompt guiding engagement. Add 'What song gives you chills every time you hear it live? 👇' to get the comments flowing.
Hook
The video has a fantastic, high-energy opening. A bold text overlay in the first 2 seconds grabs attention instantly. Add text that reads: 'Is this the most underrated stage at Bonnaroo?' right as the video starts.
Call To Action
The video creates strong excitement and FOMO. Channel this energy by updating your caption to: 'The energy was unreal! Who was your favorite artist at Bonnaroo this year?'
Storytelling
To build a stronger connection, frame this epic montage within a small, relatable story. Start with a 1-second clip with text 'Waited all day for this moment...' before cutting into the main festival footage.
Storytelling
The current video is too long (86s). Trim to under 30 seconds. Focus exclusively on the 'heated argument' anecdote: the setup, the 'wait one second' pivot, and the 'Natural Causes' punchline.
Hook
The opening is too slow — your most compelling moment starts 33 seconds in. Start with that clip. Add bold text: 'When you find a joke in the middle of a fight.' This frames the story immediately.
Audio & Music
Audio contains a bleeped-out line (0:35–0:39) that risks platform suppression. Completely edit out the problematic section. By focusing on the 'Natural Causes' story, this segment is naturally omitted. Add a quick 'punch-in' zoom on the punchline reveal.
Platform Capability
Signal at Scale | From 4 Videos to Your Entire Ecosystem
Imagine this analysis across every @livenation post, every @bonnaroo post, every festival account, every artist tour account.
Signal doesn't just tell you what performed well. It tells you WHY — down to the visual elements, the opening frame, the hook structure, the audio optimization.
Real-time
Intelligence Dashboard
"On average, five times as many people read the headline as read the body copy." — David Ogilvy
Video opening frames are the new headlines. Signal analyzes the first 2 seconds at the pixel level — the 80% of engagement you're currently leaving to chance.
Already operational in the music vertical with full computer vision analysis. RPI scoring identifies true outperformers vs underperformers independent of follower count. Format classification reveals which content types drive the most engagement per audience segment.
Innovation Arm
Beyond Social | Your Innovation Arm
Patrick, you said you need someone who can evaluate all your marketing channels and find efficiencies. Here's what that looks like.
Strategic AI capabilities without expanding headcount
Paid Digital Optimization
AI-driven creative testing, audience targeting, budget allocation. Computer vision analysis on ad creative to identify what converts. 80% of your budget deserves AI optimization.
SMS & Email Intelligence
Behavioral segmentation, send-time optimization, personalized messaging. Predict ticket purchase likelihood per fan.
Fan Intelligence Graph
Unified fan identity across Ticketmaster, social, email, SMS. Know every fan as one person, not fragmented data.
Show Capture Automation
Live Nation's show clips are among the highest-performing content. We can systematize this format into a network of themed pages that build permanent audiences.
Demand Forecasting
Predict ticket velocity by market using social signals, streaming data, and historical patterns. Bad routing = $5-10M per wrong market.
The Bottom Line
Everything Ties Back to Tickets
Signal Intelligence → Better Content → More Organic Reach → More Awareness → More Ticket Sales
Computer Vision on Ads → Better Paid Creative → Higher ROAS → More Ticket Sales
Fan Intelligence Graph → Better Targeting → Less Waste → More Ticket Sales
Network Pages → Owned Audiences → Direct Marketing → More Ticket Sales
"The only purpose of advertising is to make sales." — Claude Hopkins, 1923
Still true 103 years later. We just have better computers now.
Every dollar Origin touches should yield measurable ticket revenue.
Engagement Models
Three Ways In
Select the engagement model that aligns with your business priorities. Each model proves value for the next.
Each model includes working code, measurable KPIs, and continuous optimization.
Model A: Content Intelligence
$35,000/mo
6-month minimum | For Live Nation properties
- Signal analysis across Live Nation pages
- Creative optimization & format recommendations
- Show capture strategy & systematization
- 10 network pages - owned audience building across Live Nation pages
- Weekly intelligence reports & recommendations
- Computer vision on paid creative
Total 6-month commitment: $210,000
RECOMMENDED
Model B: C3 Intelligence Partnership
$65,000/mo
6-month minimum | For C3/Patrick's portfolio
- Everything in Model A, expanded to full C3 portfolio
- Multi-event intelligence coordination
- Fan Intelligence Graph across properties
- Paid media optimization & creative testing
- SMS & email intelligence integration
- Demand forecasting & audience modeling
- 2 custom agents shipped per month
Total 6-month commitment: $390,000
Model C: Full Bespoke Intelligence
$110,000/mo
6-month minimum | For Live Nation corporate
- Full bespoke intelligence infrastructure across ALL LN properties
- Cross-property intelligence & pattern recognition
- Enterprise Fan Intelligence Graph
- "The Live Nation Intelligence Flywheel"
- Fully dedicated applied AI science team
- API access for internal systems integration
- 4+ custom agents shipped per month
Total 6-month commitment: $660,000
You own the data. All intelligence, models, and insights become Live Nation IP. Monetize it, license it, or keep it proprietary — your asset, your decision.
The Bottom Line
What This Does for You
What You Get
- Data-driven content decisions: Understand what content, formats, and messaging perform best based on signal analysis
- Reduced media waste: Optimize paid creative and targeting to improve campaign efficiency
- Owned audience channels: Build 10 network pages for direct fan engagement outside platform algorithms
- Continuous learning: Intelligence system improves over time as more data is analyzed
- Faster iteration: Reduce analysis time from weeks to days with automated signal processing
The Value Proposition
This system is designed to drive measurable improvements in ticket sales through better content intelligence and audience targeting. The technology gets more effective over time as it processes more data across your properties. Results will vary based on current performance and implementation scope.
