LOOKING BEYOND THE OBVIOUS
Some Intellectual Property Creates Value In Unexpected Ways
A manuscript may possess stronger adaptation potential than publishing potential.
A standalone novel may contain characteristics suitable for franchise expansion.
A niche title may reveal opportunities in film, television, licensing, education, international markets, or related media.
An overlooked manuscript may contain intellectual property characteristics that extend far beyond its original publication format.
NQL’s systems are designed to help identify those opportunities.
Because intellectual property is not always limited to the medium in which it was originally created.
Measure the Hidden Value Inside Your Intellectual Property
Whether you’re an author developing a manuscript or a publisher evaluating potential acquisitions, 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, adaptation potential, and expansion opportunities.
Unlike generative AI platforms, NQL does not create stories. NQL evaluates them.
Our systems are proprietary, protected by five patent-pending innovations, and developed specifically for intellectual property measurement.
FOR NOVELISTS
Understand What Is Working. Identify What Isn’t.
Most authors invest months or years developing a manuscript before it reaches an agent, publisher, editor, or reader.
Traditional manuscript evaluations often vary significantly depending on the individual reviewer, making it difficult to understand how a manuscript compares within its category or marketplace.
NQL’s evaluation systems are designed to provide structured analysis that helps authors better understand their work before entering the submission process.
FOR PUBLISHERS
Evaluate More Material. Discover More Opportunity.
Publishers face the same challenge confronting producers:
There is more intellectual property available than there is time to evaluate it.
Manuscript submissions continue to grow while editorial resources remain limited.
NQL’s proprietary evaluation systems help publishers 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 new acquisitions, reviewing backlist opportunities, exploring adaptation possibilities, or identifying franchise potential, NQL provides a consistent analytical framework designed to support informed decision-making.
MGS™
Manuscript Grading System
MGS evaluates the execution of your manuscript across multiple literary categories including concept, structure, character development, pacing, reader engagement, thematic effectiveness, category execution, commercial positioning, and overall quality.
The goal is simple: Measure the manuscript as it exists today.
Authors receive detailed analysis identifying strengths, weaknesses, opportunities, and overall performance.
CAR™
Commercial Exploitation Assessment
Many manuscripts contain characteristics that extend beyond the page.
CAR evaluates a manuscript’s potential for adaptation into a feature film by analyzing factors such as visual storytelling, cinematic structure, production feasibility, audience accessibility, character dynamics, and adaptation complexity.
For authors interested in film opportunities, CAR provides insight into how a manuscript may translate to the screen.
CEA™
Commercial Exploitation Assessment
Great intellectual property often creates value beyond its original format.
CEA evaluates commercial characteristics, audience opportunities, expansion potential, franchise possibilities, and broader intellectual property development opportunities.
The goal is not simply to evaluate the manuscript.
The goal is to better understand the opportunities surrounding the intellectual property 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.
Because stories have always created value. NQL was built to help measure it.