AI chat for past meetings — sourced answers
Chat with a single meeting or across your entire workspace. "What did Acme commit to?" — Meetlens returns the answer with quoted source lines and one-click links back to the transcript. Works in any of 99+ languages; no fabricated quotes, no guessed commitments.
A real question, a sourced answer
Natural-language input. Structured output. Every claim cited back to the meeting and transcript line it came from.
Acme agreed to sign the MSA contingent on SSO support, and committed to a technical evaluation by April 28. Sarah Chen owns the follow-up call to coordinate with Acme's IT lead.
Index, ask, cite
Three stages, all automatic. Your meetings become a sourced knowledge base.
Your meetings, ready to search
Every transcript, decision, and action item is prepared for search inside your workspace the moment a meeting finishes processing. The chat returns answers fast because the work of scanning is already done — you ask once and get a sourced response.
Natural language, not search syntax
Ask the way you'd ask a colleague: "what did Acme push back on?", "who's owning the rollout?", "summarize the technical objections from this week." The chat understands intent — finds the right paragraph even when the literal keyword isn't there, and synthesizes across turns.
Answers with sourced quotes
Every answer cites the meetings and exact transcript lines it drew from. Click a citation, the source opens at the timestamp. If the answer isn't in the recorded material, the chat says so — no fabricated quotes, no hallucinated commitments.
When asking beats rewatching the call
Four moments where chatting with your meetings replaces 40 minutes of rewatching.
Sales call prep
AE has a follow-up with Acme tomorrow. Two minutes before the call: "summarize every objection Acme raised in the last three calls." The chat returns a paragraph with five citations, all from the past month's transcripts — AE walks in prepared instead of scrolling through their CRM notes.
Project memory across the team
Designer joins the team mid-Q2. "Summarize every decision about the Spanish launch — chronological." The chat assembles a sourced timeline from twelve different meetings she wasn't in. She's onboarded in twenty minutes, not three days.
Executive briefings
VP needs a one-paragraph status on the launch before a board call. "What's the current state of the Spanish launch — owners, blockers, ship date?" Chat returns three sentences, four citations. VP forwards it; everyone's on the same page in six minutes.
Customer-success follow-up
CSM checks in with an account after a renewal call. "Did we promise them anything in the last quarter?" Chat lists every commitment with the meeting it came from. No "I think we said we'd..." — actual sourced answers before a sensitive conversation.
Questions teams actually ask
Sample prompts from how real teams use meeting chat — no special syntax, no keywords to memorize.
Turn the answer into a deliverable
Same question, structured output — meeting chat also produces the artefact you can ship.
Follow-up email
"Draft a follow-up for Acme covering decisions and next steps." Returns a paste-ready email — recipient inferred from the call, signed off as a draft for review.
Objection list
"Pull every objection Acme raised across the last three calls." Returns a bulleted list with the meeting and timestamp each objection came from.
Exec brief
"Three-sentence status on the Spanish launch — owners, blockers, ship date." Returns a forwardable paragraph with citations the VP can verify.
Project digest
"Summarize every Spanish-launch meeting in chronological order." Returns a dated digest assembled from twelve meetings — useful for onboarding new team members in minutes.
The answer goes anywhere
Copy the response and paste it into Slack, Notion, email, or a follow-up note. No native API integrations today — just clean copy-paste.
Meeting chat by the numbers
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Everything teams ask before switching to Meetlens.