LoopedIn connects to Slack, Jira, GitHub and your meetings — then turns every conversation into summaries, tickets, and updates. Automatically.
From meeting transcription to ticket management — LoopedIn automates the busywork so you can focus on building.
Our bot joins your calls, transcribes everything, and delivers clear summaries with action items — right to your dashboard.
Detects actionable items from any conversation and offers to create Jira or Linear tickets on your behalf. No manual entry.
Automatically updates ticket timelines using custom deduplication logic. No more stale boards or conflicting statuses.
Our AI reaches out to the right person at the right time. Get status updates without chasing people down in Slack.
Stakeholders get a comprehensive weekly digest of all project activity — meetings, tickets, blockers, and progress.
Search across all your connected platforms with text or voice. Find any discussion, decision, or document instantly.
LoopedIn automatically joins your scheduled meetings, records and transcribes the conversation, then delivers a structured summary with clear action items.
An n8n-style automation builder with powerful AI agents. Design workflows that handle complex project management tasks — with a human always in the loop.
Connect your tools, invite the bot, and let AI handle the rest.
Link Slack, Jira, GitHub, Google Meet, and other tools you already use. One-click OAuth — no complex setup needed.
Add our bot to your calendar events. It'll join, listen, transcribe, and extract everything important automatically.
Check your dashboard for meeting summaries, suggested tickets, and cross-platform discussion threads — all in one place.
Use the automation engine to build custom flows — like auto-creating tickets when specific keywords appear in Slack, with human approval gates.
LoopedIn saved our team 12 hours a week on status updates and meeting follow-ups alone. The AI ticket creation is scarily accurate — it knows what needs to be a ticket before we do.
Join teams who've automated their project overhead with AI that actually understands context.