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Media & telecom · A digital media network

Media: moderation that keeps up with the feed

The situation

Every piece of content on the network passes through AI: moderation checks, topic tagging, and metadata enrichment. The feed never sleeps, and the premium model running that pipeline priced every post like a premium decision — though most of the work is routine classification.

Growth made the math worse each quarter: more content meant a bigger bill, and the pipeline was becoming the constraint on how much the network could publish.

What moved to Run BiOS

The pipeline moved to Run BiOS and was right-sized: moderation and tagging now run on smaller open models matched to each task, with the premium model reserved for the edge cases that genuinely need judgment.

One OpenAI-compatible endpoint serves the whole pipeline, so the engineering team changed a model name, not an integration.

Serverless inferenceRight-sized open modelsOpenAI-compatible API

The outcome

  • AI spend reduced significantly against the all-premium pipeline
  • Throughput increased thoroughly — the pipeline stopped being the publishing constraint
  • Premium-model judgment is reserved for the edge cases that earn it

Before

Premium model pricing on every post in the feed

With Run BiOS

Right-sized models per task, edge cases escalated

Illustrative, not measured.

Facing the same bill?

Estimate your workload on the rate card, or talk to us about the deployment pattern that fits.

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