SSabi designs everyday products that are easier to use and more attractive, targeting items people rely on daily such as walking canes, pill boxes, and bathroom hardware. Their approach centers on user-friendly, aesthetically pleasing designs that improve comfort and function. How the products work: they emphasize ergonomic handles, simple mechanisms, reliable materials, and intuitive use—so users can operate items with less effort and more confidence. How Sabi differs from competitors: they prioritize combining practicality with beauty, moving away from plain, uninspired, hard-to-use designs toward objects people actually enjoy using. Their goal is to make daily tools smarter and more delightful to use, so everyday life feels smoother and more enjoyable.
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1-10
Company Stage
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Total Funding
$50M
Headquarters
Cambridge, Massachusetts
Founded
2010
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Cap that promises to read minds with AI attracts US$ 50 million in investment. Startup Sabi wants to turn brain signals into commands for digital assistants; prototype will be presented at CES 2027. No wires or surgeries: startup Sabi raises US$ 50 million to develop technology capable of turning intentional thoughts into commands for AI (X/Reproduction) Artificial intelligence and technology reporter Published on October 14, 2026, at 3:01 p.m. Giving an order to an artificial intelligence (AI) assistant without speaking, typing, or touching a screen is the proposal of Sabi, an American startup that raised US$ 50 million to develop caps and beanies capable of interpreting brain signals. The round, announced last week, was led by Khosla Ventures, of investor Vinod Khosla. The accessory is still under development and the company intends to present a prototype at CES, the technology trade show taking place in January 2027 in Las Vegas. The phrase "read minds" sums up the project's ambition to turn words intentionally imagined by the user into digital commands. According to Forbes, which spoke with a person familiar with the negotiation, the investment valued Sabi at US$ 600 million. Accel, Initialized Capital, and DST Global are among the participants in the round. How the cap intends to turn thought into command. The Sabi Cap combines sensors with an AI model trained to relate brain activity to words and intentions. On the company's website, its operation is divided into three stages: capturing the signals, gathering data for training, and using the model to interpret the patterns found. The technology uses electroencephalography, or EEG, which records the brain's electrical activity. According to Sabi, its sensors can capture signals through hair, without gel or surgery. A model trained with more than 100,000 hours of neural recordings processes this information. The company is developing functions such as converting imagined speech into text and turning trained mental commands into requests for an AI. The goal is to create a new form of interaction with computers, wirelessly connected to a phone or PC. The proposal is part of the field of brain-computer interfaces, also explored by Neuralink, Elon Musk's brain implant company. At Sabi, the commercial bet is on a device that can be put on and taken off like a piece of clothing. What has already been tested - and what is still a promise. In an interview with Forbes, Rahul Chhabra, CEO and co-founder of Sabi, said that a laboratory prototype, similar to a wired helmet, achieved up to 77% accuracy in transcribing thoughts in users after more than two weeks of use. But there is an important physical obstacle. According to WIRED, signals captured externally pass through skin and bone and reach the sensors weakened. In addition, brain patterns vary from person to person. Recognizing a limited set of commands is a different task from continuously tracking natural language. The connection between brain activity and digital tools already appears in assistive applications. Bradford Smith, a patient with amyotrophic lateral sclerosis (ALS) who received a Neuralink implant, uses the computer and turns to Grok to help him formulate responses. This type of use also requires distinguishing the captured signal from the AI's contribution in constructing the message. Sabi will use the investment to expand its database, complete the chip, and manufacture the first devices. The 2027 presentation will be an opportunity to show how much of the proposal can already leave the laboratory environment. Frequently asked questions. Is the Sabi cap already on sale? Is it necessary to implant a chip in the brain? Can the device uncover any thought?
Sabi raises $50 million for a cap meant to read your thoughts. Typing is tedious and talking to your phone on the subway is awkward, so the next step is apparently just thinking: The Silicon Valley start-up Sabi is building a baseball cap that is supposed to turn brain signals into text and commands for A.I. assistants. Sabi has just raised a $50 million (about €45 million) seed round led by Khosla Ventures, with participation from Accel, Initialized Capital, DST Global, Collaborative Fund, Ascend and Kevin Weil, OpenAI's former chief product officer. EEG without gel or surgery. Technically, Sabi relies on electroencephalography, or EEG, which measures the brain's electrical activity. Conventional EEG caps need conductive gel and sit tightly on the scalp. Sabi's sensors are designed to measure without contact, through hair, across a gap of up to five millimeters. Each sensor is one to five millimeters in size, and according to Forbes, up to 100,000 of them could fit into a single cap. Sabi has also designed its own EEG chip, which it says was more than 50 times as power-efficient as a widely used Texas Instruments component in internal tests. The cap connects wirelessly to a phone or laptop, much like earbuds. The heavy lifting is done by an A.I. model. Sabi is training what it calls a Brain Foundation Model on more than 100,000 hours of EEG recordings from participants imagining words or performing mental tasks, which the start-up says is the largest disclosed dataset of its kind. The cap is meant to do three things: put imagined words on screen as text, pass trained mental commands to A.I. assistants and predict which keys a user is about to press. "We are building a faster interface that does not require surgery or a laboratory," said Rahul Chhabra, Sabi's chief executive and co-founder. First demo at CES. Mr. Chhabra founded Sabi with Atmadeep Banerjee, the chief technology officer, who co-authored MindEye, a study that reconstructed images people had viewed from non-invasive brain scans. The team includes alumni of Kernel, Apple, Microsoft, Meta and Nike. Sabi plans to show a first prototype at the CES electronics show in Las Vegas in January and is preparing devices for people on its waitlist. It has not announced a price. Brain data is supposed to be encrypted at the sensor and processed while still encrypted, so that servers never see the raw signals. The race for the brain. Sabi is not alone. Elon Musk's Neuralink relies on implants and was valued at $9 billion (about €8 billion) last year, while OpenAI's chief executive, Sam Altman, has backed Merge Labs as a Neuralink rival. Meta already sells a wristband that reads muscle signals and is researching brain-to-text systems. That very research shows how high the bar is for Sabi. In a Meta study with 35 participants, the error rate for decoding typed characters from EEG signals averaged 67 percent, meaning two out of three characters were wrong. Magnetoencephalography, or MEG, did much better at 32 percent but requires a room-size scanner. The study used conventional EEG directly on the scalp, while Sabi wants to measure through hair. There are no independent accuracy measurements for the Sabi cap so far. Founders Dispatch Europe's Startup Scene, Twice a Week in Your Inbox. Deals, funding rounds and tech trends, curated by the Trending Topics newsroom. Free since 2015. Aus Datenschutz-Gründen ist dieser Inhalt ausgeblendet. Die Einbettung von externen Inhalten kann in den Datenschutz-Einstellungen aktiviert werden:
The non-invasive cap is powered by a custom EEG chip and more than 100,000 hours of labeled neural recordings, which Sabi believes is the largest disclosed...
Sabi raised $50 million to build a sensor-packed beanie that decodes thoughts into AI prompts, pitching a non-invasive rival to Neuralink.
Sabi raises $50 million seed round led by Khosla Ventures to put a brain-ai interface inside a baseball cap. 1 hour ago SAN FRANCISCO, Calif., October 9th, 2026, FinanceWire The non-invasive cap is powered by a custom EEG chip and more than 100,000 hours of labeled neural recordings, which Sabi believes is the largest disclosed dataset of its kind. An early prototype will debut at CES 2027. Sabi today announced it has raised a $50 million seed round, led by Khosla Ventures, to develop a brain-AI interface designed for everyday wear. Accel, Initialized Capital, former OpenAI Chief Product Officer Kevin Weil, DST Global, Collaborative Fund and Ascend also participated. Sabi's first product looks like an ordinary baseball cap. Sensors hidden inside it read neural signals through hair without gel, surgery or direct contact with the scalp. Sabi is developing the cap to translate imagined speech and intent into commands for AI. Brain-computer interfaces have largely been designed for clinical settings and cursor control. Sabi is pursuing a different use: giving people a faster, private way to communicate with AI without typing or speaking. AI systems can now write, research and take action, but people still direct them through keyboards, touchscreens and voice commands. Implantable interfaces can capture detailed neural activity, but surgery prevents them from becoming an everyday input method. Sabi is developing a non-invasive alternative that can be worn outside the laboratory. Each cap contains sensors measuring between one and five millimeters, built around Sabi's custom EEG chip. The sensors are designed to capture signals through hair across a gap of up to five millimeters. In internal benchmarks, the chip was more than 50 times as power-efficient as the Texas Instruments ADS1299, a widely used EEG analog front end. That efficiency allows the electronics to fit inside ordinary headwear while limiting heat and electrical noise. The neural signals are processed by Sabi's Brain Foundation Model. The model has been trained on more than 100,000 hours of labeled, non-invasive recordings collected while participants imagined words and performed specific mental tasks. This is the largest disclosed dataset of its kind. Sabi is developing three primary forms of interaction: Imagined speech to text. Words a user intentionally imagines can appear on a connected screen without being spoken or typed. Thought to prompt. A trained mental command can become an instruction for an AI assistant, such as asking it to draft a message or retrieve information. Intent prediction. The system can anticipate likely keystrokes or on-screen actions and present them for the user to complete or confirm. The cap connects to a phone or computer wirelessly, much like a pair of earbuds. Sabi plans to demonstrate early versions of these interactions at CES 2027 in Las Vegas. Neural data is encrypted beginning at the sensor. Sabi's system is designed to run inference while that data remains encrypted, preventing servers from receiving a user's unencrypted neural signals. The company is also building user controls around when the cap records, which applications may receive commands and which actions require confirmation. Sabi was co-founded by CEO Rahul Chhabra and CTO Atmadeep Banerjee. Banerjee is co-first author of MindEye, the NeurIPS 2023 paper that advanced the decoding of viewed images from non-invasive brain recordings. The company's team includes hardware, machine-learning and design leaders from Kernel, Apple, Microsoft, Meta, Adobe and Nike, alongside neuroscientists from Stanford. 'AI can write, reason and act, yet we still communicate with it by tapping on keyboards and screens,' said Chhabra. 'We are building a faster interface that does not require surgery or a laboratory. The goal is a cap people can wear in ordinary life and use when they intentionally want to communicate with AI.' 'You cannot perform a billion brain surgeries to replace a billion keyboards,' said Vinod Khosla, founder of Khosla Ventures. 'Every computing era is defined by its interface. Sabi is building one designed for the age of AI.' Sabi will use the funding to expand its neural dataset, complete development of its custom chip, manufacture early devices and grow its neuroscience, hardware and machine-learning teams. The company is also preparing units for members of its early-access waitlist. About Sabi Sabi is building a non-invasive brain-AI interface for everyday use. Its first device places custom EEG sensors inside a baseball cap and uses a Brain Foundation Model trained on more than 100,000 hours of labeled neural recordings to translate imagined speech and intent into commands for AI. Sabi is backed by Khosla Ventures, Accel, Initialized Capital, Kevin Weil, DST Global, Collaborative Fund and Ascend. Learn more at https://www.sabi.com/ Outlier Partners Sabi [email protected]
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Industries
Company Size
1-10
Company Stage
Seed
Total Funding
$50M
Headquarters
Cambridge, Massachusetts
Founded
2010
Find jobs on Simplify and start your career today