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Video Post-Production Studio Streamlining Remote Editing with Frame.io
Company Situation
The company operates within the video post-production industry, specializing in television shows, movies, and commercials. Their team includes both in-house and remote editors who collaborate on large-scale projects involving massive amounts of data—up to petabytes of storage. They also have a sister AI company focused on producing AI-generated videos, which requires flexible workflows adapted to smaller-scale projects.
Existing Workflow
Currently, the company relies on an on-premises SAN (Storage Area Network) that remote editors access via VPN or remote desktop solutions to work on their editing tasks. For company review and final delivery of masters, they have traditionally used Vimeo, which has been the de facto solution for many years. Their editors work remotely by jumping into the system to access the footage and perform editing tasks. They also have some familiarity with Frame.io, a competitor platform that offers review and approval tools integrated into popular NLEs (non-linear editors) like Adobe Premiere and DaVinci Resolve.
Issues with the Existing Workflow
Review and Approval Limitations: Vimeo, while widely used, does not provide the granular permissions or seamless integration for review, approval, and note-taking that the company desires. Editors and companies cannot efficiently collaborate with precise feedback loops integrated into editing software.
Cost and Storage Concerns: In the past, storage and pricing for solutions like Frame.io were prohibitively expensive, limiting their adoption.
Fragmented Tool Ecosystem: The company currently uses multiple standalone tools to manage asset storage, review, and real-time access, complicating workflows and increasing management overhead.
Workflow Scalability: Their AI division and smaller associated companies have different needs that require more flexible, scalable workflow solutions.
How Shade Would Change Their Workflow
Shade offers a unified platform that not only covers review and approval with granular permission controls but also integrates asset management and real-time access capabilities. Shade’s AI-driven metadata tagging and organization reduce manual asset management effort, eliminating the need for separate DAM or MAM systems. Editors can access and stream footage directly, bypassing local downloads, and work seamlessly within their preferred NLEs with integrated notes and feedback. This consolidation simplifies the company’s workflow by replacing multiple point solutions with one comprehensive platform designed for both large-scale post-production and smaller AI-driven projects.
Benefits
- Centralized solution combining review, approval, asset management, and real-time access
- AI-powered automatic metadata tagging and organization
- Granular permission settings for secure and flexible company and team collaboration
- Seamless integration of notes and feedback directly into popular editing software
- Elimination of multiple standalone tools, reducing complexity and cost
- Scalable workflows adaptable to both large post-production teams and smaller AI-focused units
Technologies Used
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