What are the unique qualities that define the MindMeld API? Listen to our CEO explain the defining characteristics of our new developer platform. For more details, check out: developer.expectlabs.com/

TRANSCRIPT:

This is the third video in a series of videos to introduce our new platform called the MindMeld API. In the previous videos, I described what the platform does, and how it works. Essentially what it is is a new type of search and discovery; a cloud-based service that allows any developer to incorporate contextual search and discovery into their website or app in minutes.

Now the reason this platform is different from other search technologies or other enterprise search platforms you might have been familiar with in the past is really because of four key characteristics. First, our service is driven by context instead of keywords. Keyword search is when you type a key word in your search box, that's how most search work to date. Today, you need context to inform your search and our system is designed to capture those contextual signals about things that you have done before, things that you have read, places you have been, and where you're going, and use that to drive the search results.

The second thing that is different about our platform is that it's intelligent. Now, most search vendors would argue their systems are intelligent. But what I mean when I say intelligence is because our system is driven by contextual cues, as opposed to search queries, it necessarily has to be much more intelligent because it has to interpret what the meaning of this contextual cues are. And many cases contextual cues are things that you have said or things that you have read, and in order to understand those you have to understand language, you have to understand the meaning of language and that's what I mean when I say our cloud-based search search service is intelligent.

The third distinction about our platform is that its continuous. With a regular search engine or traditional server service, usually you type your query and you get a result and you are done. That's not how things work in this age of contextually driven search. Instead, what you need to do is pay attention to all the contextual cues that might be generated in your users' lives continuously over a long period of time. And by listening continuously and paying attention and understanding those cues, you would do a much better job understanding what's important to your users, what they are looking for.

And the fourth difference is a feature that's uniquely available to systems like ours — and that is it's anticipatory. If you have a system that is not only capable of listening continuously to what's happening in your life and able to understand it, then in some cases you do have the ability to anticipate or proactively determine what information is important to a user so you can then provide them with the information they need even before they have to type a search query. And that's what we think is one of the more exciting parts of this technology.

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