Case Study · Autodesk Flow Studio
Autodesk Flow Studio puts Hollywood-level VFX within reach of an indie budget. Our team worked on expanding the platform with AI character creation, Gen AI workflows, a full-featured 3D scene editor, as well as video processing automation.
Flow Studio, born at Wonder Dynamics, now part of Autodesk, lets a filmmaker drop a CG character into live-action footage and get a finished, Hollywood-grade shot back: motion capture, camera tracking, and final renders, all from a single video upload.
The platform brings generative AI, automated character replacement, 3D scene editing, video processing, and node-based post-production into one connected workflow, helping creators move from an initial concept to a production-ready result with significantly less manual effort.
Stack
Frontend
3D & rendering
Real-time collaboration
Backend
AI & media
Infrastructure & DevOps
Behind one character generation or video upload sits an enormous amount of GPU-heavy, failure-prone work. Our task was to build the AI video-processing workflows for character generation, texturing and rigging, and embed it into a full-featured 3d scene editor.
By collaborating closely with the client's engineering team, we helped turn complex AI and 3D technologies into a more connected, accessible, and production-ready creative experience.
Our developers worked across the creative core of the platform: turning a prompt into a rigged 3D character, putting that character into real footage, making the movement and cameras reusable afterwards, giving creators an editor to direct the result, and keeping the pipeline underneath it all alive under production load. Six pieces of work carried most of that weight.
A creator types a prompt or uploads an image, and gets back a character that is ready to animate. Our team helped connect and refine that pipeline end to end: generating the concept, converting it into a 3D mesh, applying detailed textures, and rigging the result into a GLB usable anywhere on the platform. Five stages that normally need a modeler, a texture artist and a rigger now run as one pass.
The platform analyzes uploaded footage, identifies the performers in frame, and replaces them with assigned 3D characters while preserving the movement and structure of the original take. We worked across that flow, from detection through assignment to final output, so a filmmaker can turn live action into character-driven content without recreating every movement by hand in an animation and compositing suite.
Processing a video does not only produce a finished shot, it produces data. The animation and camera-tracking information generated along the way is stored and can be pulled into new 3D scenes later. Our team helped connect those workflows, so production data stays reusable across the platform instead of being locked inside the single output it was made for.
Because movement and camera behavior are stored apart from the shot they came from, a creator can take a performance captured in one production, apply it to an entirely different character, drop that character into a newly generated environment, and keep the camera behavior of the original take. World-generation technology is built into the same flow, so those environments do not have to be modeled by hand either.
Automation gets a creator most of the way. The last stretch needs control. Our team contributed to a full 3D scene editor where users place characters and assets, apply reusable animations, import movement captured from processed video, position cameras, and build cinematic camera paths with keyframes. Finished sequences render straight into Canvas, the platform's node-based environment for AI generation and post-production.
Frame-level AI work at film resolution is heavy, long-running and full of ways to fail. We rebuilt the processing path so model stages run in parallel across a distributed fleet, cutting end-to-end video processing time by 2.5×, then hardened everything around it: upload and processing automation, codec handling, connection recovery and WebSocket reconnection. A dropped network or a failed node costs a retry, never the job.
The result is a more unified and scalable content-production environment. With AI generation, character creation, video processing, 3D scene editing, animation reuse, rendering and post-production all inside one ecosystem, the platform cuts down on:
Creators keep control over characters, movement, cameras, environments and final outputs while automation carries the work at every stage. From AI-generated concepts through to production-ready 3D scenes and refined video output, our team helped connect the technologies behind a platform that makes advanced AI and 3D production faster, more accessible and more flexible for modern creative teams.
AI-Generated. Humanly Optimized.
Footage · Autodesk Flow Studio
The big challenge of this engagement was making generative AI, 3D production and video processing behave like one product instead of a stack of separate tools. The team successfully connected character generation, scene editing and post-production into a single flow, resulting in a unified platform.
Nortik’s Impact
Embedded engineering team behind Flow Studio's AI character generation, 3D scene editor and video processing.
