Autonomous mobile robot (AMR) software provider Brain Corp recently announced that its fleet of over 37,000 AMRs powered by the BrainOS AI-enabled Robotics Platform have now autonomously covered more than 250 billion square feet of space globally.
To put this scale into perspective, 250 billion square feet is equivalent to covering the entire landmass of New York City almost 30 times, 4.34 million football fields, or 89 million tennis courts. In addition to the vast area covered, Brain Corp’s fleet also reached more than 19 million hours of autonomous operation - equal to over 2,100 years of continuous operation.
“This latest milestone is a testament not only to the success of Brain Corp, but to the shift we’re seeing toward automation across sectors,” said David Pinn, Brain Corp CEO. “Whether it’s optimizing inventory management or creating cleaner, safer environments, our autonomy solutions are helping organizations tackle their most complex operational challenges.”
BrainOS-enabled AMR usage increased since 2022
As industries grapple with labor shortages, higher customer expectations, and the need for operational sustainability, robotic and AI capabilities are increasingly driving productivity while enhancing both employee and customer experiences.
Brain Corp said by utilizing the BrainOS Sense Suite and BrainOS Clean Suite, enterprise customers worldwide can automate tasks such as inventory management and commercial floor care, and shift employee workloads from time-consuming, physically demanding tasks to higher-value activities.
Brain Corp’s latest data shows increased utilization of BrainOS-powered AMRs across multiple industries globally. Comparing Q3 2022 to Q3 2024, the average daily usage grew across sectors:
Brain Corp said this growth highlights continued progress integrating robots into team workflows and demonstrates how its enterprise tools are helping drive change management.
Global data collection enables ‘crowdsourced’ machine learning
As a result of this scale, Brain Corp said the library of data its fleet amasses daily fuels ongoing improvements via “crowdsourced” machine learning. What one individual robot experiences as an edge case leads to the adaptation and improvement of the overall fleet, ensuring each robot deployed benefits from the collective experience of the entire global fleet.
“What makes this so significant isn’t just the enormity of the area our fleet has covered, but the unique volume of data we’re able to learn from as a result.” said Jarad Cannon, Brain Corp CTO. “This allows us to consistently optimize our technology and quickly adapt to real-world challenges, which means providing ever-increasing value to our customers.”
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