In an attempt to strengthen its hardware and software integration, Apple has acquired Q.ai, a secretive Israeli startup specializing in advanced machine learning for approximately $2 billion (via Financial Times).
This isn’t just another small talent grab. This is a strategic acquisition led by Johny Srouji, Apple’s Senior Vice President of Hardware Technologies. Srouji, who is originally from Israel himself, praised Q.ai as a “remarkable company” that is finding creative ways to use imaging and machine learning.
Founded in 2022, Q.ai has spent most of its short life in “stealth mode,” meaning they kept their projects under wraps. The company was founded by Aviad Maizels, Dr. Yonatan Wexler, and Dr. Avi Barliya.
If the name Aviad Maizels sounds familiar, it should. He was the founder of PrimeSense, the company Apple bought over a decade ago for $350 million. That acquisition gave us the 3D-sensing technology that eventually became Face ID on the iPhone X. Now, Maizels is returning to the Apple fold with a much larger payday and even more ambitious technology.
While Apple is keeping the specific product roadmap a secret, patent filings and statements from the company give us a very good idea of what’s coming. Q.ai focuses on “imaging-based” machine learning. Specifically, they have developed systems that can analyze facial expressions and minute muscle movements to understand what a person is saying—even if they aren’t making a sound.
This “silent speech” technology could be a game-changer for devices like the Apple Vision Pro or AirPods. Imagine being in a crowded, noisy coffee shop and being able to “whisper” a command to Siri just by moving your mouth slightly. The sensors would pick up the muscle movements and translate them into text or commands without you ever having to speak out loud.
Apple also mentioned that the technology will help devices understand “whispered speech” and improve audio in “challenging environments.” This suggests that future versions of AirPods Pro could become even better at isolating your voice during calls in windy or loud settings.
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