Breyta.ai

Breyta.ai

Instantly synthesize multiple files of unstructured data

5.0
2 reviews

504 followers

Get instant synthesis and answers to all your questions from multiple files containing unstructured data at once, everything backed by evidence.
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Free Options
Launch Team / Built With
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What do you think? …

Praveen chary

Hi @chris_moen1 , Huge congrats to the Breyta team on the launch! This is a game-changer for research-driven teams who need fast, reliable insights from qualitative data. The ability to synthesize and analyze multiple sources effortlessly is a massive time-saver.


For even better clarity in the hero section, here’s a stronger messaging option:

💡 AI-Powered Research for Teams Who Need Fast, Reliable Insights
Back your decisions with AI-powered research. Get synthesis, summaries, and key insights from qualitative data—fast and with confidence.


This is just one key insight from a Sitelifter analysis. For a full-page breakdown and optimization tips, try Sitelifter to maximize conversions.


Wishing you tons of success with the launch! 🎉

Øyvind Reed

Love this, @Breyta.ai ! Can't wait to take it for a spin. Keep up the good work @chris_moen1 🙌👏👏👏

Marios @dessign
Congrats.. very interesting product .. all the best 🔥🔥
Hussein

This is such a needed solution! So many teams collect a ton of valuable feedback, but turning it into actual, usable insights has always been a mess.


I love that Breyta goes beyond basic transcription—pulling themes across multiple conversations instead of just summarizing one at a time is a huge unlock. And having traceable insights with direct source links? That’s a level of transparency most AI tools don’t offer.


Curious to see how this changes the way teams handle research and customer insights—wishing you all the best with the launch! 🚀

liuyun

Seeing the comments piqued my interest. I have a lot of needs for extracting summary information from various multimodal files, so I’m going to give it a try right away

Robin Alex Panicker

Great tool. Do you have plans to implement more use-case focused features, like a co-pilot for customer support teams?

Mar Goldingay

What are the key comparisons and contrasts between breyta and NotebookLM?