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Fetch.ai partners with RedSquid TV to build the first agentic AI smart TV platform

Fetch.ai partnered with RedSquid TV to build the first operator-grade Agentic AI TV platform, integrating autonomous AI agents into RedSquid's white-label television operating system for telecom and Pay TV operators. Announced on July 21, the platform enables AI agents to autonomously handle content discovery, commerce, and smart home device orchestration within a trusted environment.

read3 min views1 publishedJul 22, 2026
Fetch.ai partners with RedSquid TV to build the first agentic AI smart TV platform
Image: Cryptobriefing (auto-discovered)

The collaboration puts autonomous AI agents inside television operating systems designed for telecom and Pay TV operators

Your TV might soon do a lot more than play reruns of The Office. Fetch.ai has teamed up with RedSquid TV to create what they’re calling the world’s first operator-grade Agentic AI TV platform, a system where AI agents living inside your television can autonomously handle tasks like finding content, placing orders, and bossing around your smart home devices.

The partnership, announced on July 21, integrates Fetch.ai’s autonomous agent technology into RedSquid’s white-label television operating system. RedSquid builds TV software specifically for telecommunications companies and Pay TV providers, the kinds of operators that have spent years watching device manufacturers eat their lunch on user experience and monetization.

What agentic TV actually means #

Instead of forcing you to scroll through six streaming apps to find something worth watching, an AI agent would handle content discovery on its own, learning your preferences and surfacing recommendations without being asked.

The more interesting use cases involve commerce and device orchestration. Think watching a cooking show and having the AI agent identify ingredients on screen, then offering to order them. Or spotting a travel destination in a film and pulling together vacation options.

The agents would also coordinate with connected devices throughout a household. That could mean adjusting lighting during a movie, managing thermostat settings, or triggering routines across different smart home ecosystems. All of this runs within what the companies describe as a “trusted environment,” which matters a great deal when you’re talking about autonomous software that can make purchases and control physical devices in someone’s home.

RedSquid’s platform is designed as a white-label solution, meaning telecom operators and Pay TV companies can brand it as their own. Rather than competing directly with Samsung’s Tizen or Google TV, RedSquid is positioning itself as the software layer that lets traditional operators fight back against the hardware manufacturers who have increasingly controlled the living room experience and, more importantly, the ad revenue and data that flow through it.

Fetch.ai’s bigger picture #

For Fetch.ai, this partnership fits into a broader strategy around the “agentic economy,” a future where autonomous software agents transact, negotiate, and coordinate on behalf of humans. Fetch.ai’s inclusion as a founding member of the Artificial Superintelligence Alliance, established in March 2024, gave it additional technical and strategic firepower. Fetch.ai’s role within that coalition has centered on autonomous agents, the same technology now being deployed inside RedSquid’s TV platform.

What this means for investors #

Neither company disclosed financial terms for the deal, and there are no public adoption metrics or rollout timelines to anchor expectations. Carrier-grade software deployments involve extensive testing, compliance reviews, and integration work that moves slowly.

For FET token holders, the partnership adds another data point to the thesis that Fetch.ai’s agent technology is finding real-world deployment beyond DeFi and on-chain applications. The consumer electronics angle opens up an addressable market measured in hundreds of millions of TV households rather than the comparatively small universe of crypto-native users. Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our

Editorial Policy.

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