Delivering The Moments That Matter™

Atomizing Spoken Word For A Satisfying Search & Discovery Experience

The issue isn’t whether there’s enough human wisdom in spoken word form to learn and grow from. The issue is with how to access the portions of it you most need. 

Our SMART SEARCH FOR THE SPOKEN WORD™ technology knows how to identify ‘the most interesting things said’ inside of any spoken word piece of content. These “interesting areas” are categorized and packaged as “marbyls”. Marbyls are short-form segments pulled from long-form spoken word content that are most likely to engage someone.

We have a complexity of all in-house developed and patented models that overlap and interact to extract and package these areas of content and make them accessible through search, as well as shareable anywhere. 

But we don’t stop there. We ask the question: To Whom exactly would any one marbyl be of interest?

We are in the business of identifying the Moments That Matter™ in spoken word audio, but what matters less to one person may matter a lot to another. So whereas our ‘General Interest’ AI jumpstarts the content engagement process, it’s our Recommendation models that will be able to reach impressive levels of personalization in matching users with topic-level micro portions of content that are most meaningful to them.

That’s where the magic happens.

Marbyl® is here to clear the clutter by knowing what ‘things said’ will instantly help you to feel more connected. To identify the moments that will move you forward in your life, work, relationships, heart, mind, soul, health. 

Words from our CTO

“The Treegoat ML/AI team has developed ground-breaking models for identification of high interest moments in podcasts and other audio. Our models are continuously refined to ensure the user experience built on the data our models provide is engaging and appropriate to user interests.

To date, we have developed general purpose models for determining interest level as well as genre specific models that identify dramatic turning points and degrees of objectivity/subjectivity, to name a few. Through the precise application of multiple custom models, Treegoat is able to provide unrivaled experiences for content identification, context sensitive search, and interest-based recommendations that can be applied across multiple media types and industries.”