Djan AI
The studio’s own filmmaking workspace — references, scenes, shots and generative takes.
Built for one production house. Invitation only. Nothing here is a public playground.
Capabilities
Production tools in use now
The workflows available in the current release.
- 01
Reference library
Characters, scenes and objects stay in the project. Call them by @name so looks hold across takes.
- 02
Scenes and shots
Plan the film as ordered sections and slots before you spend. Badges and runtimes derive from selected takes.
- 03
Cinematic direction
Shot size, angle, movement, lens, light and colour compile into the provider prompt — inspectable before you generate.
- 04
Takes and review
Each generation is a take. Mark one selected per shot, reject the rest, or leave experiments unassigned.
- 05
Private storage
References and archived renders live in private buckets. Access is signed, timed and member-only.
- 06
Usage you can read
Estimates before submit; provider token counts after. History keeps prompts, references and settings intact.
About
Owned by the studio, shaped by the crew.
Djan AI sits inside one production house. Projects, reference libraries and scene boards follow the way this crew plans and shoots — not the other way around.
Today that means shared projects, reusable @references, ordered scenes and shots, cinematic direction compiled into the prompt, real Seedance generation, take review and private archival with usage you can read.
Accounts are created by administrators. There is no public sign-up page.
Team
Tech and creative, side by side
Tech team
Gevorg Khachatryan
Lead researcher & engineer
Computer vision research and deep learning research.
Vahe Petrosyan
Engineer & researcher
Deep learning research.
Creative team
Artyom Baghdasaryan
Studio & product owner
Owns the studio direction and the product the crew ships into.
Sona Khachatryan
Moviemaker
AI in moviemaking specialist — part of the creation crew.
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