Cuneflow is building a voice+ink notebook that treats handwriting and audio as the primary inputs, then turns them into searchable transcripts and compact AI summaries. The core idea is simple: capture ideas at the speed of a pen, but keep the output as structured meeting notes you can actually retrieve later, without living in a laptop UI. https://www.cuneflow.com
Instead of being “just another notes app,” the device revolves around two surfaces: Meeting and Library. You import reference material into a Library (for example via Google Drive), and the notebook uses that corpus as context for summarizing what was said in a meeting. This interview was filmed at CES Las Vegas 2026, where the pitch is a focused, paper-like workflow rather than a full tablet experience here.
On the hardware side, it’s an E-Ink display with a front light, running Android under a custom interface designed around pen input. You can write normal notes, but also draw quick symbols (a star, a smile, a scribble) to mark emphasis, and the system is meant to connect those marks to the audio timeline so key moments surface in the summary. Think multimodal note-taking: ink strokes + speech-to-text + semantic indexing, all in one place to write.
Cuneflow also draws a boundary around collaboration: they’re not trying to replace Notion/Lark with real-time co-editing on the device, and they intentionally avoid pushing heavy typing on a glass keyboard. The point is low-friction capture during a meeting, with Wi-Fi sync as the transport layer (and the option to record even when connectivity is weak, then reconcile later). It’s a “capture first, organize later” model, tuned for speed and focus fast.
Security comes up quickly in any voice-transcription product, and they emphasize encryption plus compliance work, with an explicit stance that user data is not used to train their model. Processing is described as server-backed, but with a path for enterprises to host their own model if they need tighter control. On the roadmap: more microphones, a thinner chassis, newer compute silicon, and ongoing OTA software updates as the UI and summarization quality evolve later.
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