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// Industry

Media & streaming AI development

AI for media and real-time streaming — moderation, search, and personalization that stay fast and reliable at scale.

// The problem

Why this is hard

Media and streaming products live or die on latency and scale. An AI feature that's smart in a notebook but adds a second of lag, buckles under a traffic spike, or costs more than the content it serves doesn't ship. The engineering that matters is the infrastructure around the model — fast, elastic, and observable — as much as the model itself.

// What matters here

The capabilities that move the needle

// Deep dives

Going deeper for media & streaming

// Proof

Shipped in production

Media & StreamingModeration agent

time-to-decision

-91%

median, vs. manual triage

reviewer throughput

decisions per reviewer-hour

Read the case study

// FAQ

Common questions

Yes — we push work to durable queues, cache hot paths, and keep the model off the critical path where it can't be fast enough, so the AI adds value without adding lag your users feel.

Budgets, rate limits, caching, and the right model per task (including cheaper/open models where they suffice) keep spend bounded and visible per stage rather than a surprise at month end.

We automate the confident cases and route the ambiguous ones to human review with full context, so moderation scales without letting an unattended model make the calls it shouldn't.

// Related

All industries

// Let's build

Building AI for media & streaming?

Tell us where you are. We reply within a day with a concrete next step.