Sabi plans to launch the "Mind-Reading Hat" by the end of the year, but the challenge lies in the fact that each person's brain signals are different.

ME News Report, April 17 (UTC+8), according to Beating Monitoring, Silicon Valley brain-machine interface startup Sabi has emerged from stealth mode, planning to launch a non-invasive EEG device in the form of a beanie by the end of this year. Sabi CEO Rahul Chhabra told Wired that this device aims to convert users’ internal speech directly into on-screen text, with the first version targeting an input speed of about 30 words per minute, and the hat will be equipped with 70k to 100k micro-sensors. This approach is attractive. Implantable brain-machine interfaces can obtain stronger signals, but are difficult to popularize among the general public. Sabi is betting on another path: using higher-density wearable sensors to make “thinking and typing” a usable input method first. The problem is also clear. A systematic review in 2025 pointed out that EEG-based imagined speech decoding is still in the early stages, mainly hindered by four issues: small datasets, inconsistent experimental methods, too much interference, and difficulty in stable decoding of continuous natural speech. Another 2025 Frontiers paper, although able to synthesize speech using EEG, only tested a vocabulary of four Chinese disyllabic words, and the authors admitted that generalization to new subjects remains a challenge. Therefore, Sabi’s direction is not unreasonable, but the timeline is very aggressive. It currently looks more like a promising technological route to follow rather than a consumer product that can be delivered maturely by the end of the year. The next steps to watch are a public demo, third-party testing, and whether it can work stably for different users without frequent calibration. (Source: BlockBeats)