AI-Powered Platform for Automated Film and Media Production
This US-based startup turns a plain text prompt into a finished, rendered video. The slow, hands-on parts of production happen automatically, while directors and producers stay in control of how each shot looks.
Understanding the problem
Getting from a script to a finished scene is slow and expensive. Someone has to build the 3D scene, place the characters, set up the cameras, make the dialogue, render the images, and edit it all together. Each step depends on the one before it, so a single change can mean redoing a lot of work.
Solution overview
A user describes a shot in plain text, and the platform builds the scene from it
It works out the dialogue, where characters stand, and the camera angles
In the editor, AI helpers adjust movement, camera angles, emotions, and lighting
Character dialogue is made from text, so nothing has to be recorded separately
Finished scenes are rendered into video, and separate shots can be joined together
How we engineered
Each prompt becomes a structured file that the whole system builds the scene from
A render farm adds machines for big jobs and removes them when the work is done
Rendering runs on AWS RFDK and Deadline to handle heavy workloads
Separate AI accelerators handle their own tasks, like camera, actions, and emotion
3D models and characters are saved once and reused across projects
The Impact & Results
Production is much faster, since a prompt becomes a finished scene
Directors and producers keep full creative control over every shot
Dialogue is made automatically, with no recording sessions
Rendering scales up for big jobs and back down afterwards
Teams can make many shots at once and stitch them into longer scenes
Tools used & implementation layers
- React
- Python
- Django
- FastAPI (AI accelerators)
- LSTM
- GANs
- CNNs
- ElevenLabs
- AWS Render Farm Deployment Kit (RFDK)
- AWS Deadline
- CI/CD Pipeline
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