Always-listening AI wearables — from Amazon-owned Bee AI bracelets to ambient pendant devices — have pushed personal audio surveillance into everyday consumer territory, and a small counter-industry of microphone jammers has quietly grown alongside them.
Into that space steps Deveillance, a startup founded by recent Harvard graduate Aida Baradari, with a device called the Spectre I: a portable tabletop orb that combines ultrasonic frequency emitters with AI-generated cancellation signals to block nearby microphones from capturing speech. According to the announcement, it also detects and logs nearby microphones. The company expects to begin selling the device in the second half of 2026 at $1,199.
The core technical claim distinguishes Spectre I from conventional jammers. Rather than simply flooding the environment with noise, the device sends AI-generated signals designed to fool automatic speech recognition systems — targeting the processing layer, not just the capture layer. Baradari describes the goal as rendering speech unintelligible to ASR technology while keeping emitter output at an inaudible level. The current working prototype, however, still produces an audible hum, and she acknowledges in a written statement that achieving a light, small form factor “might end up being hard to do due to constraints in physics.”
The Physics Problem
That admission sits at the center of the skepticism the device attracted after going viral on social media. Musician and YouTuber Benn Jordan, who covers audio jammers and surveillance technology, put it plainly: “These are some pretty big promises. Unfortunately, they’re kind of up against physics.” The tension is structural — frequency emitters and power sources require space, meaning a jammer powerful enough to be effective tends to be too large for discreet use, while a compact device may lack sufficient output to reliably disrupt a microphone.
Ultrasonic microphone jamming is not new. The technique has roots predating the Cold War, and today consumer-grade jammers are available through platforms like AliBaba or via open-source builds on GitHub. What Deveillance claims to add is intelligence — AI targeting across a range of ultrasonic frequencies to improve coverage and precision. Whether that closes the gap between ambition and physics is the unresolved question, and the device remains in active development.
The Privacy Context
Baradari’s motivation is direct. “People should have a choice over what they want to share, especially in conversations,” she says. “If we can’t converse anymore without feeling scared of saying something that’s potentially taken out of context or wrong, then how are we going to build human connection in this new age?”
That sentiment connects to a measurably broader anxiety. Ring‘s Super Bowl commercial earlier this year prompted immediate public backlash over neighborhood surveillance implications, ultimately leading the home security company to backpedal and cancel a planned partnership with security firm Flock Safety. Jordan observes that “people are kind of waking up to the idea that they may not have privacy at any given time” — a shift that has created an audience for counter-surveillance tools, regardless of whether the underlying technology fully delivers.
The Spectre I sits alongside other recent efforts in that category, including a hobbyist-built app designed to alert users when someone nearby is wearing AI-enabled smart glasses. Whether any of these tools can match the technical sophistication of the devices they target is a separate question from whether the market demand driving them is real. On that point, the viral response to the announcement offered a fairly clear answer.
Photo by Creatvise on Unsplash
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