Former Meta Founders Raise $23M for AI-Powered Note-Taking Ring

A startup founded by ex-Meta engineers has successfully closed a $23 million Series A funding round to advance its innovative wearable technology focused on voice-activated note-taking. The company, Sandbar, was established by Mina Fahmi and Kirak Hong and has developed the Stream ring, which gained significant industry attention following its public debut.

Adjacent and Kindred Ventures led the investment round, bringing the company’s total funding to $36 million. This latest capital injection follows a previous $13 million raise from True Ventures in November of the prior year.

The Stream ring differentiates itself from health-focused wearables by concentrating exclusively on productivity and note-taking capabilities. The device features an integrated microphone that remains inactive by default but can be engaged through a touch-sensitive surface located on the ring’s top section. Users can record voice notes, interact with an AI-powered mobile application, and manage media playback functions including volume adjustment and track navigation.

The ring’s microphone is engineered for close-proximity use, requiring users to bring their hand near their face for optimal recording quality. This design choice creates a more private user experience compared to always-listening devices.

Fahmi, whose background includes roles at CTRL-Labs and Magic Leap, revealed that development of the Stream ring has been ongoing for more than two years. The company operated in stealth mode before launching publicly after extensive testing with early adopters and personal contacts.

Initial market reception exceeded the founders’ expectations, with the first wave of pre-orders selling out completely. This strong demand prompted the company to open additional pre-order opportunities. Some power users reportedly engage with the device more than 50 times daily for various tasks including presentation planning, travel coordination, and meal preparation.

The startup plans to begin shipping the Stream ring during the summer months. Current development efforts focus on enhancing the companion application and expanding the functionality available for recorded content. Key priorities include developing a web-based platform, improving user interface design, and reducing response times from AI models.

Long-term strategic goals involve implementing autonomous workflow capabilities that would enable users to execute actions based on their recorded notes. The company is also working to integrate conversational features, as many users frequently query the AI assistant about incomplete or partial recordings.

While the mobile application currently requires the Stream ring for full functionality, Sandbar is evaluating whether to make the app available as a standalone product. Users can already utilize the app independently when their ring requires charging or is temporarily unavailable.

The company currently employs 15 people with experience from major technology companies including Amazon, Fitbit, Equinox, Google, and Apple. The new funding will support plans to double the size of software and machine learning teams while adding marketing personnel.

The AI-powered note-taking hardware market is experiencing rapid growth, with multiple companies developing competing solutions. Some competitors focus on meeting transcription, while others target budget-conscious consumers with lower-priced alternatives. Premium brands are positioning their devices as fashionable accessories to appeal to broader demographics.

Investor Nico Wittenborn from Adjacent brings relevant experience from previous investments in voice-technology startups. He believes the Stream ring’s form factor offers advantages over competing devices, particularly in how the hand-raising gesture clearly indicates intentional, private use rather than ambient recording.

Wittenborn also noted that many existing hardware solutions appeal primarily to technology enthusiasts, while Sandbar’s design approach could facilitate mainstream adoption across diverse user groups.

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