SaaS · Data-driven design
Case File
MyTubePlatform.
Video metadata management system for media and manufacturing. AI-powered insights and workflow automation — faster metadata processing, significant time saved in analysis.
What they came with.
Media teams were spending hours tagging, categorising, and searching through video libraries. The metadata problem was killing their throughput — more content meant less findable content.
- —Manual tagging consuming analyst hours
- —Poor discoverability of relevant assets
- —Analytics fragmented across tools
- —No automated workflow for new uploads
What I shipped.
A comprehensive video metadata management system built on data-driven design principles — empowering media and manufacturing sectors with AI-powered insights and automated ingestion.
AI-assisted tagging
ML model suggests categories and keywords on upload. Analysts confirm or edit instead of starting from scratch.
Unified analytics
All viewing, engagement, and ROI metrics collapsed into a single dashboard tuned for glanceability.
Content workflow automation
New uploads flow through automated processing pipelines. Teams focus on strategy, not tagging.
Design system for density
Component library optimised for dense data tables, filter chips, and bulk operations without feeling cluttered.
The work.
Dashboard
Analytics view
Content management
User interface
What shipped.
— Up next