Streaming lives or dies on personalization — the right title, for the right viewer, at the exact moment, across catalogs of hundreds of thousands of titles and millions of concurrent viewers. The Akka Agentic AI Platform runs that personalization in real time, at streaming scale.
Recommendations can't be pre-computed when viewing behavior changes by the second and the catalog runs to hundreds of thousands of titles. Personalization has to apply AI to live streams of viewing data, follow demand up and down, and do it at a cost per session the business can sustain.
Apply AI to live streams of viewing data and match each viewer to content without pre-computing results.
Automatic scaling matches capacity to live demand, so infrastructure follows viewers instead of running for peak.
Engineers focus on recommendation logic instead of infrastructure, shipping improvements continuously.
Serve individualized experiences at streaming scale while cutting the cost of each personalized session.
Media faces fast-moving rules on AI-generated content disclosure, recommendation transparency, and data use. Akka tracks 189 AI regulations worldwide, mapped to enforceable controls and monitored as they change.
The same platform that personalizes at streaming scale keeps the agents on it safe and accountable — a real-time check on every action, and a record that holds up.
Runtime filters catch prohibited or unsafe content before an agent can act on it.
Personal and confidential data is automatically removed from what agents read and write.
Every agent action is checked inline as it happens — pass, block, or flag — so an unsafe action never executes.
High-stakes actions escalate to a person for approval, and halt switches let a human stop an agent instantly.
Scenario, replay, stress, and adversarial red-team tests gate every change before production.
Every decision is written to a tamper-evident, hash-chained log, retained for years with legal hold.
Per-viewer title matching across the full catalog, in real time.
Surface the right content the moment a viewer opens the app.
Grow addressable advertising inventory with real-time, individualized targeting.
React to live viewing signals to keep viewers watching.
Understand audiences from live streams of behavior, not overnight batches.
Automate metadata, tagging, and catalog operations at scale.
Fox runs its real-time content recommendation engine on Akka, pairing each viewer with the right title across a 300,000-title catalog — 40% lower cost per personalized session, and expanded advertising inventory.
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