According to PYMNTS.com, voice AI company Kardome announced its new “Cognition AI” system in a January 5 news release. The on-device technology is designed to identify who is speaking and understand their intent without needing constant cloud connectivity, specifically for use in noisy, complex home environments. Kardome CEO Dani Cherkassky stated that continuous, contextual listening on the device itself is key to integrating AI into daily life. The announcement follows a report from venture firm Andreessen Horowitz, whose partner Olivia Moore called voice “one of the most powerful unlocks for AI.” Data from PYMNTS Intelligence shows 30.4% of Gen Z consumers shop by voice weekly, with millennials at 27.6%. The Cognition AI system will be showcased at this year’s CES in Las Vegas.
The Noise Problem
Here’s the thing about current voice assistants: they’re kind of dumb in a crowd. Try asking your smart speaker to set a timer while the TV is on and someone’s talking in the kitchen. Good luck. Kardome is basically saying they’ve solved that by mimicking how human hearing works—focusing on a specific voice and filtering out the rest, all on the device itself. That “on-device” part is huge. It means faster responses and, critically, more privacy because your casual kitchen conversations aren’t constantly being pinged to a server somewhere. They’re only calling up the big cloud LLMs for deeper reasoning tasks, which is a smart, hybrid approach.
Why Voice Really Matters
And that Andreessen Horowitz take isn’t just hype. When Olivia Moore says voice is “the most frequent and information-dense form of communication,” she’s right. Typing is a bottleneck. Speaking is natural. The data they cite is what makes this a near-term business reality, not a sci-fi fantasy. Think about it: nearly a third of Gen Z is already using voice to shop every week. That’s a behavioral shift that’s already happened. For businesses, the 24/7 customer service angle is obvious. But for the rest of us? It means the race is on to build the AI that doesn’t just hear words, but gets the context. That’s the real unlock.
The Hardware Imperative
Now, this push for powerful on-device AI has a massive ripple effect. It demands more capable hardware—processors that can handle these small language models locally without killing battery life. This isn’t just about smart speakers anymore; it’s about cars, industrial settings, and everywhere else it’s loud and connectivity might be spotty. For developers and manufacturers, the toolkit is changing. The goal is moving from a voice “command line” to a true conversational interface. And if you’re building for environments where reliability is non-negotiable—like a factory floor or a medical facility—this on-device, noise-resistant tech isn’t a nice-to-have, it’s essential. It’s the kind of advancement that pushes the entire industry forward, demanding more robust computing solutions across the board.
A CES Reality Check
So we’ll see this at CES, tucked among a sea of “AI-powered” gadgets. The proof, as always, will be in the demo. Can it actually work in a chaotic, noisy show floor environment? That’s the test. CEO Dani Cherkassky is making a big claim about enabling “natural human communication” with machines. If Kardome can pull it off, it solves a major pain point that has kept voice AI from being truly seamless. But if it’s just another incremental step, it’ll get lost in the noise. Literally. The stakes are high because the user base, as the data shows, is already here and waiting for something better.
