Built for teams who care about trust, privacy, and real follow-up
NextStop started with a simple question: why does every meeting copilot need live access to your microphone and a direct line to a cloud model? We believed there was a better way — local capture first, then structured AI only after the meeting ends.
Why NextStop exists
Product teams, engineering managers, and operational leads run meetings every day. The current generation of meeting copilots asks users to stream their audio to the cloud in real time and trust an opaque AI pipeline with no review step.
NextStop takes a different approach: record locally, keep participant context stable, and send only a finalized meeting package to a gateway the user controls. The result is summaries, action items, decisions, drafts, and workspace sync — all reviewable, retryable, and grounded in the user's trust model.
Our principles
- Audio stays local. No live cloud streaming.
- AI runs post-meeting, through a secure gateway.
- Users review, regenerate, and control every output.
- Meeting artifacts sync to the workspace, not a silo.
What drives the product
Privacy-first
Audio stays on the user's machine during the meeting. The post-meeting AI pipeline runs through a secure gateway that holds the production keys so they never reach the desktop app.
Operator-grade
NextStop is built for people who run meetings professionally. Every surface — from the session launcher to the review flow — is designed for structured, repeatable meeting operations.
Workspace-native
Meeting outputs route directly into Notion, Google Calendar, and canonical markdown artifacts. The follow-up finishes inside the workspace the team already uses.