The AI meeting assistant that acts on the call, before it even ends.
Say “Hey Dia” or type in the in-call chat, and DiaIQ does the work across your tools: a pull request, an updated mock, a filed ticket, grounded in exactly what was just said and shown.
Meetings used to end with a to-do list. Now they end with the work already done.
The DiaIQ bot joins your Zoom, Microsoft Teams or Google Meet call, watching the screen and transcribing every word. So when someone says “Dia, open a PR for that”, or types it into the chat, it already has the context to act, not just take a note.
The pull request goes up. The mock gets updated. The ticket is filed and linked. All while the conversation is still happening: no follow-up, no “who's doing this?”, no work lost to the gap between the meeting and the doing.
It's already in the room
The bot watches the screen and transcribes the conversation live, so the moment you ask, the context is already there.
Ask out loud, or in chat
Trigger an action however you're already talking: by voice or in the chat window, right inside the call.
Backed by what was shown and said
Each action is grounded in the precise frames and transcript it refers to. Every result has evidence behind it.
Done before the call ends
The work lands in the right tool, a PR, a ticket or an updated mock, while everyone's still on the call.
In the call
The DiaIQ bot sits in your live meeting or stream, watching the shared screen frame-by-frame and transcribing the conversation in realtime. Everything that's said and shown is captured as it happens.
Just ask
Say "Hey Dia" out loud and the bot catches it straight from the conversation, or type a command into the in-call chat window. No app-switching, no breaking your flow.
Grounded in the moment
DiaIQ pulls the exact slice of the call your request refers to, the frame that was on screen and the lines that were spoken, so the action is backed by what actually happened, not a guess.
Acted on, across your tools
It does the work where it belongs: opens a pull request, updates your Figma frames, files a linked ticket, posts a summary. It runs over MCP, so it plugs into your stack and your own AI assistant too.
See the backend while the bot is in the call
This is the actual DiaIQ workspace in demo mode, a meeting already in progress. Watch frames stream in and get classified, and the transcript fill in word-by-word, in realtime. Click around: it's interactive.
Screen shareDemo mode, no real data. Frames and captions are simulated to show how the live pipeline behaves.
Just ask, out loud or in chat, while you're still talking
Say "Hey Dia" and the bot catches it straight from the conversation, or type in the chat window right inside the call. Either way it acts on what was just discussed: opening a pull request, updating your Figma mocks, filing a linked ticket.
Demo mode, no real data. The pull request, Figma update and ticket are simulated to show how a live discussion turns into action across your tools.
One word in the call, action in your stack
DiaIQ runs over MCP, so it acts where your work already lives, and you can build a custom action for anything it doesn't cover yet.
A live action for every kind of call
Engineering
From design review to open PR
Get StartedWhile you talk through a fix, DiaIQ pulls the exact code frame and discussion from the call, drafts the change, and opens a pull request: branch, description and all.
Say "open a PR for the dedup fix" mid-call. By the time you finish the thought, PR #142 is up for review.
The gap between deciding and doing: gone.
When action happens inside the call, the busywork between meetings disappears.
More than an AI notetaker
An AI notetaker listens and writes a summary after the meeting. DiaIQ is an AI meeting assistant that listens and watches: slides, diagrams and code on screen become part of the context. Then it does the work while the call is still running. Every action is pinned to the frames and transcript it came from, so the evidence is one click away.
AI meeting assistant for Microsoft Teams, Zoom and Google Meet
The bot joins the platforms your team already uses, responds to voice or the in-call chat, and lands the result in GitHub, GitLab, Bitbucket, Jira, Figma, Confluence, Notion or Slack. Your own tools plug in over MCP.
AI meeting assistant
questions, answered
An AI-powered meeting assistant joins your calls, transcribes the conversation and turns it into notes, summaries and action items. DiaIQ goes one step further: it also watches the screen, so slides, diagrams and code are part of the context, and it can act on a request during the call, such as opening a pull request, filing a ticket or updating a mock, instead of only writing it down.
An AI notetaker captures audio and produces a transcript and summary after the meeting. DiaIQ captures audio and screen together, grounds every result in the exact frames and words it refers to, and executes the work while the meeting is still running. The notes are a by-product; the finished pull request, ticket or updated document is the output.
Yes. The DiaIQ bot joins Zoom, Microsoft Teams and Google Meet calls. It transcribes the conversation live, reads what is shared on screen and responds to voice commands or messages typed in the in-call chat.
Yes. DiaIQ is a live AI meeting assistant: transcription and screen analysis run while the call is in progress, so the moment you say "Hey Dia" the context is already there. Actions land in your tools while everyone is still on the call.
Today: open a pull request on GitHub, GitLab or Bitbucket, file a linked Jira ticket, update Figma mocks, and write to Confluence, Notion or Slack. You can add your own actions over MCP (Model Context Protocol), so any tool with an API can become a live action.
A meeting bot joins the call to record it and hands you a transcript afterwards. An AI assistant for meetings understands the conversation and the screen while the call runs and can respond to requests. DiaIQ does both: the bot captures audio and screen, and the assistant answers questions, drafts content and runs live actions in your tools before the call ends.
An after-the-fact assistant reads the recording once the call is over, so the earliest it can help is when everyone has left. A real time AI meeting assistant keeps a running transcript and screen context while people are still talking, which is what lets DiaIQ answer a question, draft a document or open a ticket during the conversation, when the decision is fresh and the right people are in the room.
Four things: it understands what is on screen, not only what is said, because engineering meetings run on diagrams, code and dashboards; it can act in the tools the team already uses, such as GitHub, GitLab, Jira and Figma; it grounds every output in the exact moment it came from, so people can check it; and it keeps recordings inside your own infrastructure. DiaIQ is built around those four.
Yes. Live actions are optional. Invite the bot and you get the transcript, the summary with decisions and action items, and the screen captures pinned to the discussion, with no integrations configured. You can switch on actions later, one tool at a time.
For recordings, yes: upload the video or paste the cloud recording link after the call and DiaIQ produces the same summary and content without a bot ever joining. For live actions during the call, the bot is what listens and watches, so that mode needs it in the meeting.
Yes. DiaIQ is free to get started with no credit card required. The free plan includes monthly credits for meetings, recordings and content generation; paid plans add longer sessions, more seats and custom integrations.