Massimo Group Names Quenton Petersen as CEO, David Shan Becomes Executive Chairman

Apr 20, 2026
Massimo Group has appointed Quenton Petersen as Chief Executive Officer, effective April 14, 2026, while David Shan transitions to Executive Chairman. Petersen, a nine-year veteran of the company, will focus on expanding intelligent mobility and automation platforms.

Massimo Group has appointed Quenton Petersen as Chief Executive Officer, effective April 14, 2026, while David Shan transitions to Executive Chairman and remains involved in strategic operations, announced in a press release.

Petersen has been with the company for more than nine years and has contributed to its expansion across utility vehicles and electric mobility. In his new role, he plans to explore opportunities for integrating advanced technologies, including AI enabled features, into existing product lines.

The company stated that it will evaluate applications of these technologies in areas such as facility operations support and smart mobility. Shan said he will continue working closely with Petersen and the leadership team in his new capacity.

Massimo Group, based in Garland, Texas, manufactures utility and recreational vehicles including UTVs, ATVs, electric golf carts, scooters, and pontoon boats. The company continues to focus on product innovation and intelligent equipment upgrades to support its long term growth.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.