Recently, Andreessen Horowitz and Mercury published their AI Application Spending Report. It analyzed the expenditures of over 200,000 startups – providing a current picture of where investments in AI are actually being made today.
The result: A surprisingly high share of around 10% of total AI spending goes to meeting support tools, such as AI note-takers like Otter, Happyscribe, Plaude, Read AI, or Fyxer. These tools record meetings, transcribe them, and automatically generate summaries. A clear signal that inefficient meetings are a universal problem.
From Notetaking to Meeting Intelligence
Andreessen Horowitz refers to this category as "horizontal" tools that can be used across industries. But while classic note-takers automate transcription, the future goes deeper: solutions that not only document meetings but intelligently structure and enable action.
This is exactly where we come in with Meeting Metrics. We have developed a platform that covers the entire meeting lifecycle – from preparation through structured follow-up to automatic filing and task distribution. Because companies need more than transcripts: they need systems that understand, contextualize, and make content usable.
Our Conscious Differentiation
Many AI tools originate from the USA or Asia and often come with compromises in data protection, language, and customization. We have deliberately built Meeting Metrics differently:
🇨🇭 Data processing and storage in Switzerland – for the highest security and GDPR-compliant use.
🗣️ Focus on local languages such as Swiss German & German – as well as over 50 other languages
⚙️ Own customizable meeting templates – so every team can design its format individually, whether VR/management meetings, client conversations, or workshops.
AI is Changing Meetings – But Differently Than Many Think
The Spending Report clearly shows: AI not only accelerates existing workflows, it restructures work. While large companies often see incremental improvements, startups today are already creating AI-native processes that redefine efficiency, knowledge management, and collaboration.
We believe: The future is not in pure notetaking. But in AI that thinks along – not just transcribes.
Conclusion
AI will be integrated into all areas of collaboration. What matters is how deeply solutions are embedded in workflows and how much trust they enjoy.
With Meeting Metrics, we address exactly this: local, secure, and flexible.
