Calculate how much revenue you're losing to AI notetakers

The global market size for AI notetakers is set to hit $757.6 million USD in 2026. Fill in this calculator to estimate how much of that could be coming from your users trying to patch notetaking gaps in your product.

Meeting agent calculator (v2)

Product vertical

  • HR Tech & Recruiting
  • CRM
  • Sales Enablement
  • Telehealth
  • Coaching
  • EdTech
  • Other SaaS

Active users on your platform

Avg. weekly meetings per user (related to your product)

  • 0–2
  • 2–5
  • 6–9
  • 10+

Revenue capture opportunity

  • $221,760 Your annual revenue capture opportunity
  • $126,720 Annual spend on personal notetakers by your users

Why this matters

Your product is so central to supporting your users work that offering native notetaking capabilities would be a real revenue driver, far outweighing personal notetaker use.

Assumptions

After submitting the form, you'll be able to book time with a member of our team.

In a 30 minute call, we'll walk through your goals, help you define your specific use case, and answer any technical or product questions you have.

Learn more about what meeting data can unlock

Blog Post • February 11, 2026
5 ways SaaS platforms can use meeting data to power AI features
Meeting data rarely flows into SaaS platforms - users rely on standalone notetakers, and the insights end up elsewhere. When transcripts, recordings, and summaries flow directly into your product, they let you build AI features that weren't possible before. Here are five ways to put that data to work.

Blog Post • October 22, 2025
From Scheduling to Insights: Announcing Cronofy Meeting Agents
Cronofy is excited to announce Meeting Agents, extending our API to help product teams capture what happens inside meetings with automatic recording and transcription built directly into your scheduling workflows.

Blog Post • January 21, 2026
5 AI Features You Can't Build Without Meeting Data
Meetings are a goldmine of information that gives your SaaS platform's AI the capability to produce intelligent insights. We dive into the world of CRMs to see what kinds of data you need in order to build key AI features that stick.