// 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
MLOps & Infra
Queues, autoscaling, caching, and observability so AI features stay fast and on-budget when traffic spikes.
AI Agents & Automation
Moderation and content workflows automated with guardrails and human-in-the-loop for the edge cases.
LLM Integration & Evals
Content understanding — tagging, transcription, search — behind a provider-agnostic interface tuned for latency and cost.
RAG & Knowledge Systems
Grounded search and recommendations over your catalog, so results are relevant and explainable.
// Deep dives
Going deeper for media & streaming
// Proof
Shipped in production
Media & Streaming — Moderation agent
time-to-decision
median, vs. manual triage
reviewer throughput
decisions per reviewer-hour
// FAQ
Common questions
// Related
E-commerce
AI for e-commerce — support automation, search, and personalization that convert without going off the rails.
Logistics
AI for logistics and supply chain — forecasting, automation, and optimization grounded in your operational data.
// Let's build
Building AI for media & streaming?
Tell us where you are. We reply within a day with a concrete next step.