Sabi Plans to Launch "Mind-Reading Hat" by the End of the Year, but the Challenge Lies in the Fact That Everyone's Brain Signals Are Different

According to Data Beating monitoring, Silicon Valley brain-computer interface startup Sabi has emerged from stealth mode and plans to unveil a yarn hat-shaped non-invasive EEG device by the end of this year. Sabi CEO Rahul Chhabra told Wired that this device aims to directly translate users' internal language into on-screen text, with a target input speed of about 30 words per minute in the first version, housing 70,000 to 100,000 microsensors inside the hat.

This approach is appealing. Invasive brain-computer interfaces can obtain stronger signals, but are difficult to popularize. Sabi is opting for a different path, using a higher density of wearable sensors to create a usable input method for "just thinking and typing."

The challenges are also evident. A 2025 systematic review pointed out that EEG imagined speech decoding is still in its early stages, primarily hindered by four factors: small datasets, inconsistent experimental practices, significant interference, and difficulty in stable decoding of continuous natural speech. Another 2025 Frontiers paper, although capable of synthesizing speech using EEG, only had a test word list of 4 Chinese disyllabic words, with the authors similarly acknowledging that generalization to new participants remains a challenge.

Therefore, Sabi's direction is not unreasonable, but the timeline is very aggressive. It currently appears more like a technology roadmap worth tracking rather than a consumer product ready for delivery by the year-end. The next steps to watch for include a public demo, third-party testing, and whether it can reliably work for different users without frequent recalibration.