Pringle Robotics Achieves 1 Billion Square Feet Cleaned by Autonomous Robots

Aug 21, 2025
Pringle Robotics has announced that its autonomous robots have cleaned over 1 billion square feet of flooring in commercial facilities across the U.S. since January 2024.

Pringle Robotics has announced a significant milestone, with its autonomous robots cleaning over 1 billion square feet of flooring in commercial facilities across the United States since January 1, 2024. This achievement was announced in a press release and highlights the company's rapid growth in the facilities management sector.

The Peoria-based startup attributes this success to strategic partnerships with leading Jan/San companies and convenience stores. Notably, a collaboration with Aramark has facilitated the deployment of approximately 70 autonomous floor cleaning robots in various sectors, including hospitals, schools, and entertainment facilities. Additionally, a large-scale rollout of Pudu CC1 robots to over 1,200 locations of a national convenience store chain has significantly contributed to the milestone.

Pringle Robotics' suite of cleaning robots includes models like the Pudu CC1, CC3, Pudu MT1, and CC5, each designed for specific cleaning tasks and environments. The company also offers the Pringle FMS Ecosystem, a cloud-based solution for managing robotic operations and facility assets, enhancing efficiency and operational oversight.

We hope you enjoyed this article

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

Also, consider following us on social media:

Free newsletter

Robotics Brief

Weekly coverage of AI-driven robotics advances in industrial automation, autonomous vehicles, and robotic systems.

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.