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This T-Mobile MVNO is building a voice clone to take your calls for you

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Why This Matters

This innovative AI voice clone from a T-Mobile MVNO represents a significant advancement in personalized communication technology, offering consumers a way to manage calls more efficiently and reduce stress. For the tech industry, it highlights the growing potential of AI to transform everyday interactions and customer service, while also raising important questions about privacy and AI ethics.

Key Takeaways

Joe Maring / Android Authority

TL;DR REALLY, a T-Mobile MVNO, is building an AI clone that can answer phone calls in your voice and handle conversations on your behalf.

The AI learns your voice and communication style, then handles tasks like booking appointments, handling customer support, and filtering unwanted calls.

REALLY runs on T-Mobile’s network, with plans starting at $50 per month.

I can text endlessly, but the moment my phone rings, I suddenly forget how to act like a normal person. So the idea of an AI clone answering calls in my voice instead of me? Honestly, that sounds less terrifying than the calls themselves. And that’s exactly what REALLY, an MVNO running on T-Mobile’s network is trying to build.

It’s working on Clone (h/t Phonearena), an AI assistant designed to sound like you and handle calls you’d rather avoid. The idea comes from the founder and CEO of REALLY, Adam Lyons, who believes people spend too much time trapped in unnecessary phone calls that AI could handle. And yes, this absolutely sounds like something built for people with call anxiety.

The concept itself is pretty simple. The AI trains on your voice, your speaking style, and even your communication preferences. Once it’s set up, the assistant can answer calls when you’re busy, unavailable, or simply unwilling to talk to another unknown number pretending to sell you ‘exclusive investment opportunities.’ Instead of sending every call straight to voicemail, Clone picks up in your voice, figures out what the caller wants, handles the conversation, and sends you a summary afterward.

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And the use cases already feel painfully relatable. Rescheduling appointments, calling hotels, dealing with customer support, and confirming bookings — these are all tasks that somehow drain an unreasonable amount of mental energy. Having an AI assistant deal with all that honestly sounds comforting.

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