Media

PDX– AI That Replaced AWS Media2Cloud at 70% Lower Cost — With Full Pipeline Control

AI-powered media analysis | VOD & digital distribution | On-premises deployment

The Problem

  • Video analysis costs scaled with every file processed — entirely dependent on AWS per-minute charges
  • No control over the AI models in use; limited to standard AWS offerings
  • Sensitive video content transiting third-party cloud infrastructure with no on-premises alternative
  • Processing speeds didn’t meet operational requirements at scale
  • Zero flexibility to extend or customise detection capabilities for specific media workflows

    • Our Solutions

    • Built a proprietary AI-powered media analysis platform as a full AWS Media2Cloud replacement
    • Fully on-premises deployment — all video content stays within PDX’s own infrastructure
    • Custom AI models purpose-built for their specific video analysis requirements
    • Outputs remain compatible with existing downstream workflows — no disruption to current operations
    • Switched from unpredictable per-minute cloud billing to a fixed infrastructure cost model
    Metric
    Before
    After
    Processing cost
    15-min video processing time
    Data control
    AI model flexibility
    Cost predictability
    AWS per-minute charges
    Slower than required
    Third-party cloud
    AWS standard only
    Variable cloud billing
    70–80% lower
    2–3 minutes
    Fully on-premises
    Custom models, full control
    Fixed infrastructure
    Metric
    • Processing cost
    • 15-min video processing time
    • Data control
    • AI model flexibility
    • Cost predictability
    Before
    • AWS per-minute charges
    • Slower than required
    • Third-party cloud
    • AWS standard only
    • Variable cloud billing
    After
    • 70–80% lower
    • 2–3 minutes
    • Fully on-premises
    • Custom models, full control
    • Fixed infrastructure

    Why It Works

  • Cloud video analysis costs scale with every file processed — that’s a structural problem, not a pricing negotiation. The only way to fix it is to move the workload off the cloud entirely, which requires building something AWS doesn’t sell you.
  • The platform works because the AI models were built for PDX’s specific content types, not adapted from general-purpose detection libraries. Domain-specific models outperform general ones. That’s not a claim — it’s why the benchmarks exist.
  • For security and compliance stakeholders, on-premises is the answer to a question that cloud vendors can never fully resolve: where does the data go? With this architecture, the answer is nowhere it wasn’t already.
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