Sentio transitions from athlete assessments to AI candidate measuring

When it comes to learning how to be a successful leader, one of the greatest priorities is making sure you have the right players surrounding you in order to make your way to the top. As the old addage goes, “You’re only as good as the team you build.”

But once a growing company starts creating hierarchy, it can become harder for HR to hire the right kind of quality talent with those same standards.

A.J. Richichi initially started thinking about this issue within the sports industry. He wanted to help NFL and MLB teams predict which college athletes were going to become successful at the next level — who was real professional star material.

“I turned to psychology, data science, and my background in artificial intelligence to find some correlation between the success of college athletes and the success of pro athletes,” says Richichi.

With this goal in mind, he founded Sentio, a platform that accurately measures the mental makeup and personality of an athlete to help predict their success at the pro level. They gathered a ton of data and raised a small round of funding from family and friends, including one of the owners of the Colorado Rockies.

Shortly after, he started to see the potential of the technology for much wider applications beyond sports.

“We transitioned the technology into the business world, where we could use it to help hiring managers, just like sports scouts, predict what candidates were going to be successful at their specific company,” says Richichi. The algorithm uses the company’s top performers as a baseline to find more prospective employees with similar characteristics.

Read more here.

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