Veritone and TuneIn have announced a partnership that provides TuneIn with a license to Veritone’s Cognitive Media Platform (CMP). This is Veritone’s first step into audio streaming.

Veritone has developed the proprietary Cognitive Media Platform (CMP) that unlocks the power of AI-based cognitive computing so that unstructured audio and video data can be processed, transformed, and analyzed in a seamless, automated manner to generate actionable intelligence. The cloud-based open platform integrates an ecosystem of a variety of best-of-breed cognitive engines, which can be orchestrated together, to reveal valuable multivariate insights from vast amounts of audio and video data.

TuneIn enables people to discover, follow and listen to what’s most important to them – from sports, to news, to music, to talk. TuneIn provides listeners access to over 100,000 real radio stations and more than four million podcasts streaming from every continent.

RAIN News explains more about what this partnership means for TuneIn (and the radio and podcasts that TuneIn provides:)

Veritone’s CMP is unique in the audio market, using cognitive computing to intelligently preserve audio (and video) content and make it searchable by keyword, all in near-realtime. For radio, this platform can analyze and store every word spoken into a microphone, offering verification of brand mentions, for example, and native advertising spoken content, verifying advertiser agreements that would be otherwise difficult to do, and potentially unlocking new value.

RAIN News continues to note that for radio (and I’m going to assume for podcasting as well), the archiving “opens the door to repurposing on-the-air segments and smartly redistributing them.”

There are many news articles about podcasting in which an advertiser complains because they want more data that would tell them exactly how many listeners actually heard their ad in a particular podcast episode. It appears that Veritone’s CMP can give them that.

In addition, Veritone’s CMP can make audio searchable by keyword in near-realtime – which should soothe those who have expressed concerns that podcasting has as a problem because it is not searchable.