Rekap vs. Traditional AI Notetakers

Traditional AI notetakers are good at capturing what was said in a meeting. They’ll give you a transcript, maybe a few bullet points, and a list of suggested action items. That’s helpful… to a point. But those outputs often sit in your inbox or a shared folder, disconnected from the actual flow of work.
‍
Rekap takes a fundamentally different approach. It doesn't stop at summarizing the moment — it learns from every interaction to understand the context behind the conversation. Who’s involved? What’s the project history? What’s blocking progress? Rekap applies that understanding to move work forward automatically. It’s not just recording the past — it’s shaping what happens next.

PULL SUMMARY: Notetakers summarize. Rekap operationalizes.

Most AI notetakers are built to treat each meeting as a one-off event. They capture what happens in that hour, then move on. There’s no memory of prior discussions or continuity across projects, teams, or goals.
‍
Rekap is different. It sees each meeting as part of a larger system. It threads together conversations across time, across people, and across workflows. That means it doesn’t just tell you what was said — it shows you what keeps surfacing, what’s falling through the cracks, and what needs to be addressed to unblock the business.

PULL SUMMARY: Rekap connects the dots. Notetakers clip the moment.

A notetaker delivers outputs: a summary, a few highlights, some suggested tasks. It’s a productivity tool — one that relies on the user to interpret, act, and follow through.
‍
Rekap is built for outcomes. It translates conversations into next steps, aligns stakeholders, and flags organizational gaps. It’s proactive. Instead of simply logging what was said, Rekap ensures the right people see what matters — and that action happens where it needs to.

PULL SUMMARY: Rekap isn’t just a notetaker. It’s an alignment engine.

Most notetakers use generic AI models that don’t know anything about your business. They don’t recognize your team’s roles, relationships, goals, or quirks. Every transcript is treated the same — flat, context-free, and isolated.
‍
Rekap models your actual organization. It knows who’s in the room, who owns what, and how people collaborate across functions. That org-awareness means Rekap can tailor follow-ups, prioritize the right insights, and even flag risks that might not be obvious in a single meeting.

PULL SUMMARY: Generic AI captures noise. Org-aware AI filters signal.