Looking Beyond The Obvious
Some intellectual property creates value in unexpected ways.
A screenplay that struggles as a feature film may possess exceptional expansion potential as a novel.
A manuscript may contain adaptation characteristics suitable for film or television.
A project overlooked in one medium may reveal hidden value in another.
NQL’s systems are designed to help identify those opportunities.
Because intellectual property is not always limited to the format in which it was originally created.
Whether you’re a writer developing a screenplay or a producer evaluating potential projects, the challenge is the same:
How do you identify the true strengths, weaknesses, and opportunities within a story asset?
NQL’s proprietary narrative intelligence systems are designed to evaluate intellectual property through structured analysis focused on execution, commercial characteristics, and expansion opportunities.
Unlike generative AI platforms, NQL does not create stories. NQL measures them.
Our systems are proprietary, protected by five patent-pending innovations, and developed specifically for intellectual property measurement.
FOR SCREENWRITERS
Understand What Is Working. Identify What Isn’t.
Most writers spend months, even years, developing a screenplay before seeking feedback.
Traditional feedback for screenwriters typically comes from coverage, peer feedback, notes and consulting. This subjective evaluation varies from reader to reader and may provide wildly different insights into why a screenplay succeeds or struggles.
NQL’s evaluation systems are designed to provide structured analysis that helps writers better understand their work before it reaches producers, managers, agents, contests, or the marketplace.
FOR PRODUCERS
Evaluate More Material. Discover More Opportunity.
Producers face a simple problem:
There is more intellectual property available than there is time to evaluate it.
Screenplays, books, manuscripts, and adaptation opportunities continue to enter the marketplace at an unprecedented pace.
NQL’s proprietary evaluation systems help producers identify meaningful signals within large volumes of material through structured analysis focused on execution, adaptation potential, commercial characteristics, and intellectual property opportunities.
Whether you’re evaluating original screenplays, considering adaptation opportunities, or exploring underdeveloped intellectual property assets, NQL provides a consistent analytical framework designed to support informed decision-making.
SGS™
Screenplay Grading System
SGS evaluates the execution of your screenplay across multiple storytelling categories including concept, structure, character development, dialogue, conflict, pacing, emotional impact, marketability, and overall effectiveness.
The goal is simple:
Measure the screenplay as it exists today.
Writers receive detailed analysis identifying strengths, weaknesses, opportunities, and overall performance.
SRP™
Screenplay Rewrite Plan
Knowing what needs improvement is only the first step.
SRP is designed to help writers understand how to improve it.
Using the results generated through SGS, SRP produces a structured development roadmap identifying the screenplay’s most important opportunities for revision and improvement.
Rather than generic notes, SRP focuses on practical rewrite priorities designed to strengthen execution and maximize the screenplay’s potential.
SNR™
Not every screenplay’s greatest opportunity is on the screen.
Some stories contain worldbuilding, character depth, mythology, or narrative complexity that may be better suited for expansion into long-form literary intellectual property.
SNR evaluates a screenplay’s potential for transformation into a novel, book series, franchise property, or expanded literary asset.
For writers seeking to maximize the value of their intellectual property, SNR identifies opportunities beyond the screenplay itself.
Your Work Remains Your Work
We use analytical, decision-support technology.
We do not use public AI knowledge bases.
We do not train AI models on submitted material.
We do not outsource judgment to generative AI systems.
Submitted material is evaluated and never absorbed, scraped, repurposed, or incorporated into public training systems.