piLYTIX Sports helps sports teams achieve their maximum sales and marketing potential through a technical platform driven by explainable artificial intelligence. piLYTIX Sports was launched as a division of piLYTIX in 2017 as teams and leagues have realized the value in importing data-driven sales and marketing strategies from other industries in the face of falling ticket demand.

Our platform offers a completely unique strategy for your organization to increase revenue while simultaneously reducing the inefficiencies that have come to define so many sports sales and marketing organizations.


"I kept pursuing a prospect strongly, despite the early signs telling me she was probably going to bail. If I didn’t know the piLYTIX likelihood, I would have thought she wasn’t genuinely interested and I probably wouldn’t have shown her 3 or 4 more products and would have missed $15,000 in suite products."



David Elgin

Vice President of Analytics 

Atlanta Hawks 

Jamie Morningstar

Senior Vice President of Ticket Sales and Service

Milwaukee Bucks 

Mike Broeker

Deputy Director of Athletics

Marquette University 


Teri Pierce

Associate Athletics Director

University of Texas, Austin 

Scott Shafer

Director of CRM

Milwaukee Bucks 

Sean Ream

Vice President of Ticket Sales & Service

Colorado Avalanche, Kroenke Sports and Entertainment 


Jim Dries


Jim Dries founded and serves as the CEO for piLYTIX. Jim's career began as an investment banker at BofA Merrill Lynch (formerly Banc of America Securities), working on more than $8 billion in equity, debt and M&A capital raising. After leaving Wall Street, Jim led sales, marketing and product management teams both at the Corporate Executive Board and Clubessential.

Jim has a B.A. from Yale University and an M.B.A. from the University of Chicago.


Kate Ivers


Kate Ivers serves as COO for piLYTIX overseeing all aspects of company operations. Kate's career has spanned law, operations and data security. She began her career as an attorney in the Intellectual Property group at Wildman, Harrold, Allen and Dixon. Recently, she served as the SVP of Operations and General Counsel for Clubessential where she oversaw product implementation, client services, human resources, legal and accounting.

Kate has a B.A. from Yale University and a J.D. from Loyola University (Magna Cum Laude).


Hendrik Kits van Heyningen


Hendrik Kits van Heyningen oversees all aspects of both the predictive modeling and the piLYTIX software product. His career began as an engineer at KVH Industries, Inc. (Nasdaq: KVHI), where he worked on R&D for inertial navigation systems. Subsequently, he joined Analytics Operations Engineering, Inc. working on scheduling and pricing optimization projects before taking leadership of the team that developed the original piLYTIX models.

An accomplished musician, Hendrik has performed as a pianist at Carnegie Hall, and he served as Music Director for the Yale Davenport Pops Orchestra.

Hendrik has a B.S. in Mathematics and Physics from Yale University (Summa Cum Laude, Phi Beta Kappa).


Lawrence Coleman

VP Engineering

Lawrence Coleman is a veteran cloud software architect who began his career with industry leaders like IBM and Dell.  More recently, he has been a leader on some of Austin’s most cutting edge software teams, developing highly-available, scalable platforms for the Transportation, IT Security, and Hospitality industries.

He currently volunteers his time with ATX Hack for Change focusing on civic computing work. As an accomplished swing dancer, Lawrence has volunteered his time to administer and chair the largest swing event in Austin,.

 Lawrence graduated from the Engineering Honors College at University of Texas at Austin with a B.S. in Electrical & Computer Engineering.


Contact Us

Name *
Phone *


 piLYTIX, an Austin-based Artificial Intelligence company, delivers efficiencies to Sales and Marketing teams around the world through a cutting-edge SaaS platform. Our clients receive actionable insights at levels as granular as individual leads, opportunities and salespeople. Data Analysts will assist in model building and apply their machine learning and statistical knowledge to generate insights from our client's data. 

For more information and to Submit Your Resume: