Patent Assignment
Reel/Frame 071595/0698
Nunc Pro Tunc Assignment
Recorded: 2025-07-02
Pages: 8
Assignor
AFFLECK-BOLDT, BENJAMIN GEZA
Executed: 2025-06-27
Assignee
FIN BONE, LLC
9200 SUNSET BLVD. 7TH FLOOR, LOS ANGELES, CALIFORNIA, 90069
Covered Properties
(20)
Computing System, Computer-Implemented Method, and Computer-Readable Medium for Generating Video Content with Professional Filmmaking Techniques
Application:
63/657,756 →
Video Content Generation Utilizing Metadata and Lidar Data
Application:
18/959,064 →
Simulation of Professional Filmmaking Techniques
Application:
18/959,103 →
Synthetic Data Generation for Machine Learning in Filmmaking
Application:
18/959,140 →
Machine Learning Model Training with Parameter Variation in Filmmaking
Application:
18/959,171 →
Artificial Intelligence-Based Video Content Creation with Predetermined Styles
Patent:
12,511,837 →
Application:
18/959,226 →
AI-Driven Generation of Video Content Meeting Professional Film Standards
Application:
18/959,280 →
Publication:
US US20260154855A1
AI-Based Filmmaking Tools for Consumer Use
Patent:
12,593,003 →
Application:
18/959,291 →
Cinematic Data Collection and Processing for AI-Driven Video Production
Integration of Video Language Models with AI for Filmmaking
Patent:
12,438,995 →
Application:
18/959,339 →
Training AI Models with Synthetic and Real-World Filmmaking Data
Application:
18/959,354 →
Publication:
US US20260170392A1
Simulation-Driven AI Model Training Environment for Filmmaking
Application:
18/959,392 →
Publication:
US US20260170393A1
Lidar Data Utilization for AI Model Training in Filmmaking
Application:
19/087,276 →
Publication:
US US20260220877A1
Systems and Methods for Enhancing Video Content Analysis and Generation Through Cinematic Element Recognition and Metadata Utilization
Application:
63/726,140 →
Method, System, and Computer-Readable Medium for Training an AI Model to Generate Video Content by Automating Captioning and Understanding of Cinematic Components
Application:
19/078,223 →
Publication:
US US20260148575A1
Method, System, and Computer-Readable Medium for Training a Captioner Model to Generate Captions for Video Content by Analyzing and Predicting Cinematic Elements
Patent:
12,511,904 →
Application:
19/078,229 →
Method, System, and Computer-Readable Medium for Enhancing Video Model Performance Through Cinematic Metadata Generation and Iterative Retraining
Application:
19/078,236 →
Publication:
US US20260149856A1
Method, System, and Computer-Readable Medium for Training and Deploying a Model to Analyze and Generate Video Content Based on Cinematic Elements Using Metadata from a Captioner AI
Application:
19/078,242 →
Publication:
US US20260148134A1
Method, System, and Computer-Readable Medium for Generating and Utilizing Metadata on Cinematic Elements In Video Content Through a Trained Captioner Model
Application:
19/078,260 →
Publication:
US US20260148556A1
Lidar Data Utilization for AI Model Training in Filmmaking
Patent:
12,322,036 →
Application:
18/959,397 →
Related Assignments
(4)
Other recorded transfers of the patents in this record — the chain of ownership.
Change of Name
Nov 17, 2025
From: FIN BONE, LLC.
To: INTERPOSITIVE, LLC.
Reel/Frame 073322/0122 →
Change of Name
Nov 24, 2025
From: FIN BONE, LLC
To: INTERPOSITIVE, LLC
Reel/Frame 073322/0142 →
Change of Name
Dec 23, 2025
From: FIN BONE, LLC
To: INTERPOSITIVE, LLC
Reel/Frame 074049/0975 →
Assignment of Assignor's Interest
Apr 16, 2026
From: INTERPOSITIVE, LLC
To: NETFLIX, INC.
Reel/Frame 075423/0760 →