Moxi can securely handle high-risk or tightly controlled medications, including pediatric chemo and narcotics. | Source: Diligent Robotics
Diligent Robotics today announced that its fleet of Moxi mobile manipulators has made more than 300,000 pharmacy deliveries within hospitals. The deliveries were completed by the end of May 2025, and Moxi robots are still conducting over 900 deliveries a month a high-volume sites.
This latest milestone comes on the heels of the company completing 1 million total deliveries in hospitals and 100,000 autonomous elevator rides. Andrea Thomaz, co-founder and CEO of Diligent, credited the company’s achievements to progress on its embodied AI roadmap.
“Moxi has this ability to drop into an existing environment without having to install things in their elevator or install things in their door,” Thomaz told The Robot Report. “The fact that we’re doing mobile manipulation, and our robots can kind of quickly learn to interact with the environment, that sort of general-purpose, drop-in nature is very much appreciated.”
Since its founding in 2017, Diligent has focused on advancing healthcare automation with Moxi. The company has deployed Moxi in more than 30 hospitals across the U.S.
Diligent Robotics learns from 300,000 deliveries
Currently, Moxi spends about a third of its time doing pharmacy deliveries, a third of its time delivering lab work, and a third of its time delivering supplies and other equipment, noted Thomaz.
“[The milestone] is a testament to the trust that we’ve started to really build in the healthcare community and the hospital market. That’s always been our goal, to be trusted to deliver a part of the clinical workflow,” she said.
Over the course of building this trust, Diligent has also taken feedback from hospitals and worked it into Moxi. For example, Thomaz said that at the beginning, Moxi had an open shelving design, similar to many service robots at restaurants. This wasn’t going to work with medications that needed to be secure, so the company added locked storage compartments.
In addition, Moxi is able to handle controlled medications, which requires other special features.
“Chain of custody is an important thing in pharmacy workflows in general, so being able to point to who has possession of this medication from any given point in time in the transaction is important,” Thomaz said. “We’ve worked hard to ensure we can reproduce that chain of custody.”
Diligent expands Moxi’s capabilities
Diligent has a number of plans for Moxi’s future. First, the company will continue to develop features to make Moxi more useful in hospitals. Most recently, Thomaz said Diligent added applications to give hospitals a better idea of who is interacting with the robots and when.
“We do think that the general-purpose nature is really nice, because you have a fleet of robots that may all be focused on pharmacy tasks first thing in the morning, when there’s lots of med passing, and then they would all be focused on some other tasks later in the day,” Thomaz said. “That being said, especially in terms of the size of items that need ot be transported, we’re seeing that there’s likely a need for a heterogeneous fleet of robots that has different storage capacity.”
Thomaz hinted that a new version of Moxi that can carry larger payloads may be announced in the not-so-distant future.
Where will Moxi go next?
Diligent is also setting its sights beyond hospitals. Just last week, it added two former executives from autonomous vehicle developer Cruise to its leadership team. The company named Rashed Haq as chief technology officer and Todd Brugger as chief operating officer.
“We’re very excited to bring on Rashed and Todd. Rashed is really going to be helping us accelerate our AI roadmap,” said Thomaz. “Part of that is increasing the capabilities of Moxi beyond just point-to-point deliveries that we’re doing today to, in the future, being able to do even more dexterous manipulation tasks and things that would allow us to take on a broader category of work, both in hospitals and broader in logistics generally.”
First, Diligent is focusing on other care environments.
“So we would think about looking at nursing homes, elder care, rehab, skilled nursing domains outside of hospitals, where you still need automation to support care teams,” Thomaz said. “And then, I think all of the logistics and fulfillment tasks that we’re going to be able to do with increased manipulation capabilities open up a lot of different opportunities. We like to say our robots are really tuned for operating in buildings full of busy people, so I think that’s the scope of where we see ourselves being relevant.”
Register now and help us celebrate 20 years of RoboBusiness!Hospitals face difficult financial headwinds
With the recent passage of the Trump administration’s One Big Beautiful Bill Act, hospitals across the country could lose $340 million in their budget over the next decade. With tighter budgets, hospitals could be more hesitant to invest in expensive technologies in the coming years.
“It’s a difficult time for hospital administrators because of just the uncertainty of their budgets for the next year and beyond. But our outlook is really the same,” Thomaz said. “The conversations that we’re having with health system leaders are really productive around how do we help them do more with the resources they do have.”
Moving forward, the company plans to continue helping hospitals make up for staffing shortages with Moxi.
“Internally, at Diligent, we often talk about, at the end of every deliver that Moxi does, is a patient, and so every single thing that Moxi is doing is impacting patient care,” Thomaz said. “So, for us, that we’re being trusted to have that impact on patient care, it’s important.”
Vivian Chu, co-founder and chief innovation officer of Diligent Robotics, will be speaking at RoboBusiness. The robotics conference is produced by The Robot Report and will be on Oct. 15 and 16 in Santa Clara, Calif. Her talk will focus on AI for dexterity and adaptation in high-stakes environments.
Chu plans to explain how Diligent Robotics takes a hybrid approach to autonomy by combining the reliability of classical robotics with the power of next-generation AI models, all while deploying in dozens of real hospitals where no two elevators, badge scanners, or workflows are the same.
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