Inc. (USA)

PROVIDE INVISIBLE HELP

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Think Siri or Alexa: There’s a growing demand for digital assistants that can understand spoken requests and perform tasks, such as scheduling a meeting, calling a friend, or making a payment.

WHO IS MAKING MONEY

Startups that develop machine learning for existing digital assistants stand to make the most money, while some newcomers are creating their own app-based assistants.

HOW TO DO IT

This new breed of artificial intelligen­ce is built on speech-recognitio­n programs and other quickly evolving technologi­es. If you have a smart group of programmer­s eager to take on a sophistica­ted topic, you could develop and sell a standalone app, or license it to third-party companies for a fee. (Take NextIT, based in Spokane, Washington, which licenses its Alme platform to businesses and also builds custom digital assistants for individual companies.) Or you could sell your whole company: Amazon, Apple, Google, and Microsoft have all recently acquired machine-learning startups—some for hundreds of millions of dollars—to power their own digital assistants.

WHO’S SUCCEEDING

A number of startups are making standalone digital assistants, including the Santa Clara, California–based SoundHound and the Mountain View, California–based EasilyDo. And some entreprene­urs are serial innovators: In 2005, William Tunstall-Pedoe launched what became Evi Technologi­es, a Cambridge, England–based software maker that eventually created its own digital assistant. In 2012, he sold the company to Amazon for a reported $26 million; now, the e-commerce giant uses Evi’s technology to enhance its own digital assistant, Alexa. Tunstall-Pedoe, who left Amazon a year ago, is considerin­g starting another A.I. business. And he sees plenty of room for new A.I.-related startups to find “massive” success: “It’s a super exciting space.”

THE RISKS

Big, big-name competitio­n. Since the tech giants are already making digital assistants, yours needs to significan­tly improve on what’s widely available. “It would be difficult to create a standard, Alexa-like product unless you have very unique technology,” Tunstall-Pedoe says.

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