Challenges in scaling AI for subscriber experiences
Traffic surges
When millions stream, scroll, or connect at once, even small latency issues drive churn and support volume
Slow feature rollouts
Every new AI-powered feature (support bots, content tagging, recommendations) requires separate pipelines and integrations, delaying impact.
Uncontrolled AI costs
Without tight governance, optimization, and usage visibility, AI costs become unpredictable as subscriber adoption grows
Enterprise-grade, scalable AI architecture for media & communication Platforms

Innovate at speed with AI Gateway
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- Launch subscriber-facing AI services through a single AI Gateway / LLM Gateway — eliminating per-application SDK sprawl
- Adopt new model providers or agent workflows through a shared Agent Gateway, accelerated by an MCP registry for approved capabilities
Deploy AI where subscriber data and content must stay
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- On-prem AI Gateway or private cloud keeps subscriber and viewing data compliant with CCPA/CPRA and VPPA requirements
- Maintain control of content catalogs and identity data to meet regional licensing, privacy rules, and platform-specific trust policies

Keep GenAI output safe, on-brand, and scalable
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- Apply platform-level moderation and policy enforcement for editorial standards, rights compliance, and community-safety controls
- Monitor latency, usage, and cost per application or feature to ensure subscriber growth doesn’t inflate spend unexpectedly

Build and scale agentic AI to drive subscriber growth across your media ecosystem
Content personalization agent
Content moderation
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agent
Customer support
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agent
Churn prediction
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agent
Ad optimization
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Lifecycle optimization agent
We saved big on infra costs and cut DS coordination time by 75%. TrueFoundry boosted our model deployment velocity across teams.

GenAI infra- simple, faster, cheaper
Trusted by media and communication to Scale GenAI



