Spam calls are no longer a joke – especially when they sound incredibly human.
In India, where almost every phone noise seems suspicious, startups like Equal AI are rethinking how to deal with chaos.
As reported Forbes Indiathese young innovators allow artificial intelligence to answer your calls, talk to a stranger, and tell you whether it's worth your time. Sounds dreamy, right?
But here's the twist: It's not just a cool gadget – it's survival technology.
People have lost billions to phone scams, and when fake voices creep into conversations, the old “Do Not Disturb” list seems laughably outdated.
A similar wave of anxiety echoed NDTV's coverage of artificial intelligence scamswhere cloned voices fooled even tech-savvy users.
Weird? Absolutely. But also a great reason to innovate.
Startup Equal AI, founded by Keshav Reddy, claims its system doesn't just display numbers; listens, transcribes and responds dynamically – like a virtual secretary speaking English, Hindi and Hinglish.
And guess what? It's free, at least for now. This is a big deal, especially in a country where people receive an average of 20 spam calls a day.
A similar concept according to SpiderX artificial intelligence is already very popular among entrepreneurs. Hook? Will users trust machines to answer personal calls?
The funny thing is that artificial intelligence can fight a battle with itself. While fraudsters use cloned voices to manipulate victims, AI-powered apps try to detect them faster than a human can blink.
Some technical experts said Indian Express that this is turning into an “AI vs. AI” war zone where synthetic speech sensors must constantly evolve to stay one step ahead.
Personally, I'm torn. Imagining a future where a friendly bot protects you from scammers is exciting, but also disturbing – do we really want an app listening in on us?
How Technical breakdown as recently suggested, the next big battleground will be regulation and consent.
Until that happens, perhaps the wisest move is still the old one: don't trust every sweet-sounding voice on the line.
