Product

What Bitovn Bridge is, and what it is deliberately not

Meet and Zoom solved transmission and then stopped. Bridge treats a meeting as something you can read — and is precise about which parts are live and which are still landing.

A team collaborating over a large screen in a meeting room

The one-paragraph version

Meet and Zoom solved transmission — getting audio and video from one place to another — and then largely stopped. Everything they show you about a meeting is a rectangle: you are in the call or you are not, you are talking or you are not.

Bridge treats a meeting as something you can actually read. Who has drifted. Who has been silent for twenty minutes. Who just joined and missed the decision. Whether the room is still with you. Those are the questions people genuinely have in meetings, and no major platform answers any of them. The short version: Zoom shows you the room; Bridge lets you read it.

Who builds it

Bridge is part of the Bitovn suite, built by VAYUZ Technologies. Its sibling product Minuta — the meeting intelligence engine from Pragyan AI, a VAYUZ subsidiary — handles transcription with speaker tagging, contextual summarization, and action items with owners and priority. Bridge is already a supported platform for it.

Understanding the meeting

  • Meeting Memory — join late and get a catch-up: quotes, what the room flagged, links shared, mentions.
  • Room attention meter — the speaker sees how many people are with them. Anonymous by design, opt-in, never stored.
  • Speaking-time equity — shows who has held the floor and who has not been heard.
  • Presence choreography — distinguishes thinking, stepped away, and connection trouble.
  • Smart notes with speaker attribution — notes that record who said it, not just what was said.
  • Room continuity — a recurring room remembers its own past sessions.
  • Adaptive layout — the grid reads the conversation and seats people to match it.

Communicating inside the meeting

  • Whisper — a private aside by text or held-to-talk voice, without leaving the call.
  • Hand-raise queue — ordered and visible, not a hand that scrolls away.
  • Reaction and intent bar — past emoji: "I have a question", "I disagree", queued fairly.
  • Mentions with a distinct notification — unmissable without being noisy.
  • Live captions — named speakers, grouped by turn, colour-railed.
  • A sound language for signals — distinct per category, each independently mutable.

The room itself

  • Universal device support, 320px phone to a 90-inch display.
  • Audio-only as a first-class mode.
  • Video effects and backgrounds that survive a late join.
  • Screen sharing that tells the presenter who is watching.
  • Focus mode and do-not-disturb.
  • Connection health and pre-flight checks before the meeting, not during.
  • Ambient spatial audio, computed on the listener's device.
  • Opt-in meeting cost awareness — measured in collective attention, never money.

What we deliberately do not claim

Being precise about the gaps is part of the product, so here they are plainly.

  • End-to-end encryption: the trust interface is live and verifiable in the room. Key provisioning is not yet complete, so the honest description is "visible, verifiable trust state, with key management landing" — not "fully operational E2EE".
  • The attention meter does not identify individuals, and the fact that it cannot is the point rather than a limitation.
  • Attention data is never stored and there is no historical attention reporting. There will not be — it would contradict the architecture that makes the feature acceptable at all.
  • Breakout rooms: the composer, shared countdown, help signals and broadcasts are real and work today. Routing audio and video into a separate room needs media-server work that is not connected yet, so nobody is relocated.
  • Instant highlight capture and Capture Moments both work in the room; the saved media clip and the moments gallery are still pending backend.

Who it fits first

Enterprises and public-sector buyers tend to arrive through accessibility and the attention meter's privacy design, because procurement and works-council review decide those deals before features do. Education leads with attention and equity — "have I lost the room" is the instructor's core problem. Sales organisations get the fastest return from whisper and Meeting Memory. Field and deskless workforces come for mobile, audio-only and honest connection health, which nobody else designs for.

Frequently asked

Who makes Bitovn Bridge?

VAYUZ Technologies, as part of the Bitovn suite. Minuta, the meeting intelligence engine, comes from Pragyan AI, a VAYUZ subsidiary.

How is Bridge different from Zoom or Google Meet?

Those platforms solved transmission. Bridge adds a layer that lets you read the meeting: catch-up for late joiners, anonymous room attention for the speaker, presence beyond in-or-out, speaking-time equity, and a private aside without leaving the call.

Is end-to-end encryption available?

The verifiable trust state is visible in the room today. Key provisioning is still landing, and we describe it that way rather than claiming full E2EE operation.

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