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Fetch.ai and RedSquid TV Team Up to Build Agentic AI Smart TV Platform for Telecoms

Fetch.ai and RedSquid TV Team Up to Build Agentic AI Smart TV Platform for Telecoms

Fetch.ai has partnered with RedSquid TV to develop what they call the first operator-grade agentic AI smart TV platform. The platform is designed specifically for telecom and Pay TV providers, according to a post on Crypto Briefing. The deal brings together Fetch.ai’s autonomous agent technology with RedSquid’s existing TV infrastructure.

What the platform does

The new platform will use Fetch.ai’s agentic AI — software agents that can act independently on behalf of users — to personalize content, manage subscriptions, and automate tasks like billing or troubleshooting. RedSquid TV provides the underlying TV platform for operators, so the integration aims to give providers a ready-to-deploy system without building AI from scratch.

Fetch.ai’s agents can negotiate deals, handle user preferences, and even interact with other agents across networks. For a pay-TV operator, that could mean a viewer’s agent automatically finds the best sports package or adjusts streaming quality based on bandwidth.

Telecom and Pay TV providers are under pressure to offer smarter, more personalized services. Competitors like streaming giants already use AI to recommend content. This partnership gives traditional operators a way to catch up without massive R&D budgets. The “operator-grade” label suggests the platform is built for reliability at scale, not just a pilot project.

Fetch.ai has been pushing its agentic AI into various industries, from supply chain to energy. This is its first major play in the TV space. RedSid TV brings the distribution channel and existing relationships with telecoms.

What’s next

No launch date or specific operator partners were announced in the Crypto Briefing post. The next step is likely integration testing with RedSquid’s existing clients. Both companies will need to show telecoms that agentic AI can handle real-world traffic without glitches. The timing — mid-2026 — puts the platform in a market where AI adoption in media is accelerating, but so is regulatory scrutiny around data privacy and automated decision-making.