Profile of CTRL-Labs and its Brain-Machine Interface, currently in the form of an armband that lets people type without a keyboard
Steven Levy / Wired : Tweets: @hadip , @stevenlevy , and @aaronykng Tweets: Hadi Partovi / @hadip : A direct brain-machine interface, without an implant! https://www.wired.com/... Steven Levy / @stevenlevy : One day you will type 100 wpm with your hands in your pockets. And you might have a tail. Here's why. http://www.wired.com/... Aaron Ng / @aaronykng : a non-invasive bci for device input. this is the future, and it's not too far away http://www.wired.com/...
Context & Ripple Effects
This 2017 Steven Levy profile is the earliest data point in a now decade-long arc: CTRL-Labs arguing that the practical brain-machine interface would read signals at the arm, not inside the skull. Two years later the company raised another $28M for the armband and SDK that translate brain-to-muscle impulses into digital commands, per its follow-on funding round.
The non-invasive bet has since drawn the biggest player in: Meta's prototype wristband reads forearm electrical signals trained on thousands of people's EMG data, while the invasive track advanced separately through Synchron's implant letting paralyzed users control Alexa and iPhones and speech-decoding efforts like Sabi's internal-speech beanie.
First-order effects
- CTRL-Labs gets a flagship validation moment in Wired, positioning its armband-plus-SDK as the developer entry point for gesture and typing input without surgery.
- Investors and early backers such as Hadi Partovi gain a public proof point that non-invasive neural input is a fundable product category, not just lab research.
Second-order effects
- Meta's later EMG wristband shows where the muscle-signal approach lands: big-platform companies absorbing the interaction layer, which pressures startups like CTRL-Labs to sell SDKs or exit rather than own devices alone.
- Implant makers like Synchron and Neuralink are pushed to justify surgery by targeting what armbands cannot reach — users with paralysis and decoded internal speech — splitting the market by patient need.
Third-order effects
- If the pattern holds, device input splits into two durable tracks — wearable muscle-reading for the mass market, implanted arrays for medical need — with the keyboard demoted to one peripheral among several.
- Whoever controls the signal-decoding SDK becomes the gatekeeper for a new input ecosystem, echoing how operating systems captured value in earlier computing shifts.
The trend: Human-computer input is migrating from keyboards and touch toward reading the body's electrical signals, with wearables serving the mass market and implants reserved for medical cases.