– Nathan Wilson , CTO at Nara Logics

recommendations accordingly . It can also create recommendations based on particular short-term preferences , adapt to location changes , and combine its suggestions ( eg . Chinese food and action movies ).

Nara maintains , however , that its focus is on developing more accurate information sorting in its systems , rather than growing a brand and customer base . The company ’ s intention is to grow its portfolio as a third-party contractor to extant companies , revealing this year that it has begun working with a major international banking house , “ managing the institution ’ s reward points and recognizing customers ’ preferences ; assessing loan approvals based on detailed financial history ; and analyzing user transactions for the bank in real-time to detect fraud ”, according to Wired magazine . Additionally , Nara Logics has reportedly begun working with a major healthcare company and a major airline , examining past customer data in order to improve future experiences .

Nara ’ s AI specializes in establishing relationships between large numbers of entities ( restaurants , movies , abstract concepts ) and assembling them into a knowledge graph that can establish links between these . With small amounts of inputted user information , the pre-existing synaptic connections can more easily identify and build upon preferences . This sort of programming should , posits Richard Socher , CTO at MetaMind , allow for more accurate recommendations than previous methods .

“ Using the Nara platform , companies can leverage relevant data across multiple lines of business , with the goal of making the customer

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