Case Study on System Design
Client’s Take on Summary AI
Manually transcribing and summarizing content was a real pain – it took forever and was super frustrating! We knew that AI technology could fix this issue, so we teamed up with Seven Square. Their experienced developers were a huge help, suggesting awesome features like speaker identification (to tell who’s talking in a conversation), real-time transcription (to see the text version of the audio instantly), and AI-driven summaries (to pull out the most important points).
Seven Square did more than just suggest features – they also helped us build a Minimum Viable Product (MVP). This MVP let us test the core technology and get user feedback to make sure the platform was what users actually wanted. By taking this step-by-step approach, we were able to tweak the AI models and make the user experience even better before the full product launch. This meant we didn’t waste a ton of resources on a product that people might not like, and it ensured that the final product was awesome, easy to use, and super valuable.
We’re sure that Summary AI can not only compete with but also beat all the other AI transcription tools out there soon! We’re all about innovation and user-centric design, and that’s what will keep Summary AI evolving and at the top of the industry.

Using AI to Improve Note-Taking Efficiency

Overcoming Obstacles in AI Transcription and Summarization
AI Meeting Transcription | Automatic Meeting Notes | Customizable Summarization | Highlight in Summary |
89% accuracy | 90% accuracy | 93.5% accuracy |
