Media Delivery Company Streamlining Content Management with Cloud Storage
Company Situation
The company operates within the media delivery sector, managing a niche live channel alongside an extensive on-demand video library. Their content focus is specialized, and their team handles a substantial volume of video assets—several hundred files—primarily stored in cloud object storage. The team is seeking solutions to enhance video content accessibility and reuse across multiple projects.
Existing Workflow
Currently, all video assets are stored in an S3-compatible cloud bucket. Each video is embedded with detailed metadata, including event details, dates, locations, and participants. The team manually searches through this metadata to locate and retrieve videos. When relevant clips are identified, they download entire files or use existing clipping tools for content extraction. This workflow requires significant manual effort and results in large data transfers.
Issues with the Existing Workflow
Searching is limited to metadata, which can be cumbersome and may miss content-based queries.
Downloading large video files is costly and inefficient due to egress fees and bandwidth constraints.
The current tooling lacks AI-powered search capabilities, limiting the ability to find specific content within videos (e.g., particular actions or scenes).
Installation and deployment of existing software solutions on company infrastructure have been problematic, especially on Linux environments and virtual machines.
The team desires a seamless, low-latency way to access and share video assets without replicating entire files locally.
How Shade Would Change Their Workflow
Shade offers a modern media asset management solution that directly integrates with cloud storage and enables AI-powered search both by metadata and visual content. Instead of downloading large files to search, users can mount the storage bucket virtually on their desktop and stream or drag-and-drop only the needed assets. Shade’s platform provides:
- AI-driven content search to identify specific moments and objects within videos beyond traditional metadata queries.
- A virtual file system approach that feels like local file access but without full file downloads, reducing bandwidth and cost.
- A managed cloud storage option with competitive pricing and optimized egress fees for more cost-effective data handling.
- A user-friendly web and desktop interface that simplifies finding, clipping, and sharing video assets.
- Upcoming support for connecting existing S3-compatible buckets natively, enabling direct integration without data migration.
Benefits
Enhanced search capabilities including AI-powered content recognition.
Significant reduction in data transfer costs and time by streaming only necessary content.
Improved accessibility and collaboration via a virtual mounted file system.
Flexibility to work with existing cloud storage or transition to Shade’s managed cloud at their pace.
Simplified deployment and user experience tailored to media teams’ workflows.