Neura to Bring AI to The Internet of Things

It is estimated by 2020 there will be more than 20 billion connected devices throughout the world, and such a staggering amount of devices will surely need to interact with one another, which is where the oft reported ‘Internet of Things’ and Neura comes in.

Neura has some lofty goals to connect all of these devices, and plans to do so through three different layers of technology, creating a system that is both all-inclusive and anticipatory. The first layer in this process is what they call Harmony, which consists of creating profiles for specific devices, and fit the data the device gathers into a profile. For example take calories burned from all of the fitness trackers, and create a profile from that data.

Then from that data collected comes the rules engine, in which users or Neura programmers set conditional rules (if this, then that), that will eventually transform into pattern recognition after enough data has been collected. Neura calls this step Trac.

Lastly Neura wants to implement a physical graph, which essentially breaks down into a database of contextual data that will influence the rule stage. Some of the contextual data for example could be other devices in proximity, where those devices are, and what kind of services would be specifically catered to those elements.

Source: Neura, Inc.

While Neura is a young company, the interest in their technology is not to be overlooked. Earlier this year the startup received $2 million in seed funding from a handful of investors, which happened after their pre-seed round of funding of $300,000. And while building something as massive as the connective tissue to the ‘Internet of Things’ is daunting, Neura has already begun building profiles for 80 apps, with more being added constantly.

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