My Expertise & Value Proposition

GEV Intelligence: My AI System for De-Risked Film Investment

I engineered a patent-pending framework to convert subjective risk into objective, scalable IP assets, aiming for $\pm 8.5\%$ financial accuracy on my 100-Film Slate.

Protected IP: The Financial & Creative Moat I Built

PATENT PENDING: System and Method for Predictive Financial De-Risking and Automated Technical Mandate Generation in Content Production

This patent application covers the unique, end-to-end framework that I use to convert subjective creative input into objective, production-ready assets. This legal protection ensures that my GEV pipeline remains scalable and defensible against competitors.

My Proprietary De-Risking Workflow

My GEV Intelligence system transforms raw creative concepts into de-risked IP assets ready for my production slate. This proprietary, three-step automated process removes subjective judgment, allowing me to quickly qualify concepts for commercial viability and legal safety before capital deployment.

  • 1. Input: I feed the system raw content data—scripts, loglines, and synopses.
  • 2. V-Score Analysis: The system runs a comprehensive check on commercial viability, predicting final financial performance against comparable industry benchmarks.
  • 3. CleanScore AI Audit: Simultaneously, the AI conducts a detailed risk and copyright audit, mitigating legal and financial risk from potential copyrighted material.
  • 4. Output: The result is a De-Risked IP Asset with an automatically Generated Technical Mandate, making it immediately ready for my production slate.

The following figures are aspirational targets based on my proprietary model backtesting and are pending independent, third-party verification.

Proprietary Targets: Metrics That Define My Edge

V-Score AI Accuracy

$\pm 8.5\%$

Prediction Variance for final financial performance against comparable industry benchmarks.

Script Doctor AI Integrity

95%

Accuracy in flagging critical structural weaknesses (pacing, motivation, dialogue efficiency).

CleanScore AI Mitigation

99.8%

Clearance Success Rate for IP, minimizing legal and financial risk from copyrighted material.

For Investors: My Scalable ROI Thesis

I'm building a data-backed factory for IP assets, replacing the lottery of Hollywood with predictable returns.

Investment in Green Eye Visions is an investment in operational certainty. The combination of my Patent Pending methodology and the V-Score's $\pm 8.5\%$ prediction variance allows me to drastically reduce financial exposure before major capital is spent. This systematic approach supports my goal to independently build and release a 100-film slate with minimized risk and maximized volume.

I treat intellectual property as a scalable asset, not a gamble. My internal GEV Hub already holds a growing library of 40+ pre-vetted titles, cleared by CleanScore AI, ensuring a fluid pipeline designed to deliver consistent, data-aligned content to the global market.

For Partners: Creative Certainty & Security

Engineers, producers, and creatives—collaborate with intelligence that guarantees your project is shoot-ready and secure.

When you collaborate with me, you gain immediate access to the Script Doctor AI (95% flaw detection) to ensure your narrative is structurally perfect before it enters production. This efficiency saves weeks in development and hundreds of thousands in avoidable rewrites.

My Creator IP Shield Guarantee remains paramount. All tools are 100% web-based with stateless processing, meaning your proprietary data is never stored, logged, or used for AI training. This is a secure gateway for high-level creative collaboration, backed by a methodology legally protected against unauthorized replication.

Inquire About Collaboration

Due Diligence Q&A: Addressing Core Investor Concerns

How is my Patent Pending System protected from being bypassed?

The IP protection is structural. The patent covers the the unique method of generating a Technical Mandate directly from the V-Score and CleanScore outputs. Competitors can build similar prediction models, but they cannot legally implement the final, proprietary step that converts data into an actionable, binding production contract and asset roadmap, ensuring my operational superiority.

What prevents the V-Score from breaking down as volume scales?

The model is built on normalized, not cumulative, data. As I add films to my slate, they are compared against their respective historical cohorts, not against the total volume of all GEV films. Furthermore, the V-Score's core function is de-risking, which improves efficiency as I scale. More volume provides more internal data, strengthening the model's predictive power over time.

How do I attract high-level creative talent if the process is AI-driven?

I attract talent by guaranteeing two things: security and speed. My Creator IP Shield Guarantee ensures their ideas are safe. The Script Doctor AI ensures their narrative is structurally sound, removing the weeks or months of subjective, frustrating development notes typical in Hollywood. I use AI to remove financial risk and structural weakness, freeing up creatives to focus on pure artistry within the established technical guardrails.