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Scriptsee Responds to Netflix’s New AI Policy: Clear Alignment on Safe, Responsible Use

Motion Tech Lab

1 Sept 2025

Scriptsee confirms its platform is fully compliant with Netflix’s new AI policy. Built on analytical models, not generative tools, Scriptsee helps teams improve story, plan smarter, and reduce production risk.

FOR IMMEDIATE RELEASE


Wellington - 1 Sept 2025: Netflix has released its official guidance on the use of generative AI in content production. The policy outlines clear principles on when AI tools can be used freely, and when written approval is required, especially for creative outputs, talent likenesses, and final deliverables. Full details can be read here: Using Generative AI in Content Production.

Scriptsee welcomes this clarity and confirms its platform is fully aligned with these guidelines. Scriptsee is not a generative tool. It does not create new dialogue, characters, or media. Instead, it runs script text through a wide variety of models, including Natural Language Processing (NLP), Large Language Models (LLMs), classifiers, and Long Short-Term Memory networks (LSTMs), to deliver insights such as character interactions, complexity, emotional arcs, asset breakdowns, and draft comparisons.

“Netflix’s policy helps the industry separate creative generation from responsible analytics,” said Greg Harman, CEO of Motion Tech Lab, the company behind Scriptsee. “Scriptsee is built for analytics. We don’t generate creative material. We give teams a clear view of what’s already in their scripts so they can improve story, plan smarter, and reduce production risk.”

By focusing on analysis rather than creation, Scriptsee offers production partners a low-risk, policy-compliant AI tool that supports decision-making without crossing into restricted use cases.

About Scriptsee Scriptsee is an AI-driven platform for film and TV pre-production. It processes scripts in minutes to visualise complexity, emotional arcs, and production requirements, helping studios and producers improve story, plan efficiently, and de-risk budgets before cameras roll.

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