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Adeptmind raises $4.5M from Fidelity to bring smarter search to retailers

Adeptmind raises $4.5M from Fidelity to bring smarter search to retailers
From TechCrunch - November 15, 2017

If youve ever searched for a product on any website thats not Amazon or Google, youve probably had a bad time trying to find somethingand then go straight back to Google or Amazon.

Thats a significant problem for retailers, which need to ensure that potential customers that are already signaling a lot of interest in buying something will actually be able to find those products and end up buying them. Thats why G Wu and Jing He started Adeptmind, a tool that gives retailers a way to implement a smarter search engine on their sites by collecting related data to all of their products and zero in on what customers are actually looking for. To do that, Adeptmind said that it has raised $4.5 million in a financing round from Fidelity Canada.

A lot of times NLP companies will have fairly comprehensive knowledge graphs where you do internal labeling, but most of the data comes from the product catalog, Wu, the CEO, said. As such anything not in the product catalog will not be understood. Theres no free lunch when it comes to machine learning. We target crawl a large portion of the web. Based on the web we do targeted crawling so any relevant information we ingest.

Heres an example they gave: when searching for ripped jeans on a website like Diesel, you might not end up with the right results and a lot of regular jeans because theyre just not recognizing the ripped modifier is something thats meant to exclude results. Adeptmind crawls around the internet in various places, such as even forums, to determine what products various potential customers are cross-referencing when related to the phrase ripped jeans and then uses that to narrow down the list of products to what customers actually want.

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