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International Education Company Consolidating RED R3D Cameras and DaVinci Resolve
Company Situation
The company is part of a multinational education services company that operates language learning centers worldwide. Their in-house video advertising team produces diverse video content tailored for multiple global markets, including destination videos and promotional materials spanning regions such as North America, Europe, Australia, and Asia-Pacific. The team handles high-resolution footage, particularly from RED cameras in R3D format, supporting widespread stakeholders and student users who engage with video content on social platforms.
Existing Workflow
The company currently uses a combination of tools to manage their video production pipeline. They rely on a legacy digital asset management (DAM) system designed for video file storage and tagging, alongside separate tools for review and approval workflows (such as Frame.io). Their editors use DaVinci Resolve for color grading and editing, and the workflow involves multiple platforms for ingesting, sorting, tagging, editing, reviewing, and delivering video content globally.
Issues with the Existing Workflow
The legacy DAM struggles with large, high-resolution files, resulting in slow upload and download speeds.
Manual tagging is required to organize footage, making the search process time-consuming and inefficient.
Limited licensing in their current platform restricts content access for a distributed audience, including students who want to use professional footage for social media; this creates copyright compliance risks.
Fragmented workflow with separate tools for storage, editing, and review leads to inefficiencies and complexity.
The need to provide easy and controlled access to footage for both internal editors and external stakeholders is unmet.
Review and approval processes require sending links across platforms, increasing friction and delays.
How Shade Would Change Their Workflow
Shade consolidates multiple tools into a single platform that addresses the company’s core challenges. It offers AI-powered automatic tagging and natural language search to quickly locate specific footage without manual intervention. Editors can access and edit footage directly within Shade, using it as a virtual hard drive that eliminates time-consuming downloads. The platform integrates review and approval workflows with in-app commenting and stakeholder access, replacing the need for external tools like Frame.io. Shade also supports flexible licensing and controlled distribution, enabling the company to safely grant students and other users access to copyrighted professional footage. This unified approach streamlines the entire video production lifecycle from ingest to delivery, improving speed, compliance, and collaboration across global teams.
Benefits
- AI-driven automatic tagging and facial recognition reduce manual metadata entry and speed up footage search.
- Natural language search capabilities allow users to find specific shots (e.g., “beach from Miami”) instantly.
- Single-platform access for ingest, editing, reviewing, and delivery eliminates the need for multiple disconnected tools.
- Virtual hard drive functionality enables direct editing from the cloud, saving time on downloads.
- Integrated review and approval workflows simplify stakeholder feedback and accelerate project sign-off.
- Flexible licensing and access controls reduce copyright risks when sharing footage with external users like students.
- Cost-effective solution with potential savings by consolidating tool subscriptions.
- Scalable to support a multinational team with diverse geographic needs.
Technologies Used
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