Jenny Lyons-Cunha

Updated on April 20, 2024

“Arity’s culture has always been its strength,” said Director Dan Regan. Built In sat down with Regan and two Arity colleagues to learn more

Rose Velazquez

Updated on March 26, 2025

See which companies are hiring software engineers to collaborate on projects that benefit customers and internal teams.

There’s always something exciting happening in Chicago tech — here’s your opportunity to be a part of it. 

When Arity spun out of Allstate in 2016, it would have been difficult to predict just how valuable driving data would become for multiple industries and real people. By collecting roughly 2 billion miles of driver data every other day, which is then applied to Arity’s software and data models, the company can leverage insights into previously untapped areas, like weather predictions for commuters or safety features for new drivers.

Taylor Rose

Updated on December 13, 2024

Read about the tech innovations, team transformations and thriving partnerships of these 24 tech companies.  

Taylor Rose

Updated on August 27, 2024

As we kick off September, these 20 featured companies of the month should be on your radar.

Brigid Hogan

Updated on June 26, 2024

Mastering Python and machine learning isn't enough. Learn how communication, collaboration and adaptability transform data insights into business action.

Olivia McClure

Updated on April 26, 2024

Three tech leaders describe how their teams continuously refine the company’s crash detection algorithm and the innovative culture that inspires them every day.

These companies offer missions their employees can connect with, benefits that support them in all aspects of life and numerous opportunities for skill and career development.

Stephen Ostrowski

Updated on April 23, 2024

By collecting an enormous scale of data from both insurance outcomes and from 60 million driving trips a day, Arity provides a fast-paced environment of continuous learning for its team

Miscommunications and misinterpretations are common but avoidable, even in highly technical fields like data science. Read how data pros untangle concepts that confuse most outside audiences.