The global VFX industry is valued at $30B and projected to reach $50B by 2030, fueled by demand across film, gaming, and digital advertising.
Manual annotations account for up to 70% of post-production time, especially in tasks like rotoscoping, object masking, and scene labeling. Artists are forced to work frame-by-frame, often across thousands of frames, which leads to fatigue, inconsistency, and escalating labor costs. Object tracking, too, remains a tedious and error-prone process—especially when handling complex scenes with occlusion, motion blur, or dynamic lighting—requiring constant manual oversight to ensure continuity.
Beyond these task-specific challenges, broader workflow inefficiencies plague most VFX pipelines. Teams rely on a patchwork of tools with limited integration, leading to repeated context-switching and loss of version control. Scaling for large projects means scaling headcount, not capability, which introduces bottlenecks and quality risks. Most critically, the lack of real-time feedback slows the creative iteration loop—directors and producers often wait hours or days for revisions, delaying sign-offs and driving up post-production timelines. In this landscape, automation and intelligent systems are no longer optional—they're foundational to remaining competitive.
Our platform delivers smart tracking and segmentation, automating the most time-consuming aspects of VFX workflows such as object detection, tracking, and masking. This not only minimizes manual input but also ensures seamless frame-to-frame continuity, significantly improving overall efficiency and consistency in visual output.
With context-aware editing, our system intelligently interprets scenes to identify unnecessary or obstructive elements. It can automatically suggest or execute removals, replacements, or annotations based on the scene's context—dramatically reducing the need for manual revision and enhancing creative flexibility during post-production.
We also provide a scalable, high-accuracy annotation pipeline designed to handle thousands of frames with minimal supervision. This capability enables rapid labeling for training custom AI models, supporting more advanced automation and streamlining complex VFX tasks like rotoscoping, compositing, and CGI integration.
Collectively, these tools form a robust, end-to-end solution that slashes production timelines, lowers costs, and empowers artists to focus on creativity rather than repetitive labor.