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Home»Technology»Diligent Robotics hires two notable Cruise alumni to its management staff
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Diligent Robotics hires two notable Cruise alumni to its management staff

By Admin10/07/2025No Comments4 Mins Read
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Diligent Robotics hires two notable Cruise alumni to its leadership team
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Diligent Robotics is bulking up its management staff as the corporate appears to be like to scale its fleet of humanoid robots that work in hospitals and pharmacies.

Austin, Texas-based Diligent introduced Thursday it appointed Rashed Haq as its chief know-how officer and Todd Brugger as its chief working officer. Each Haq and Brugger have been most lately at Cruise, the GM self-driving subsidiary that shuttered earlier this yr.

Haq was previously the vp and head of AI and robotics. Brugger was Cruise’s COO.

Andrea Thomaz, the co-founder and CEO of Diligent Robotics, advised TechCrunch it was the suitable time for the corporate to make these management hires. The startup has deployed about 100 of its Moxi humanoid robots, which help healthcare services with non-patient-facing duties, and is now able to deal with scale.

“We’ve purposely grown a bit of bit extra slowly, I might say, over the past two or three years, actually honing a few of the operational efficiencies and on the brink of be ready to scale extra dramatically,” Thomaz mentioned. “And that’s type of what we’re gearing as much as do the tip of this yr and subsequent yr.”

Thomaz mentioned she obtained launched to Haq first and favored his deep AI experience and expertise getting novel AI algorithms to work in actual life, by Cruise’s autonomous vehicles, versus simply the lab.

Whereas having early conversations with Haq, she was launched to Brugger by a mutual connection. She felt Brugger’s expertise scaling Cruise from zero automobiles on the highway to a whole lot appeared like the suitable match for what Diligent wanted.

“Todd and Rashed labored so nicely collectively at Cruise,” Thomaz mentioned. “Every little thing began coming collectively. We have been in want of operational management. We knew that we have been needing to rent somebody with Todd’s experience, and it was actually very a lot excellent timing.”

Haq and Brugger each advised TechCrunch that Diligent was a pure subsequent step for them. The robotics firm has already reached the deployment stage and the know-how was similar to what they have been engaged on at Cruise. Haq added that autonomous automobiles are essentially cellular robots, simply known as a unique title.

“Many firms have early traction by way of income and I name it ‘vibe income,’ as a result of folks attempt it out, after which they cancel their service afterwards, so then that income dies out,” Haq mentioned. “However with Diligent, if you happen to have a look at all of the metrics, the robots are literally in day-to-day use, and have grow to be integral components of the businesses which are utilizing them. In order that makes it a really sticky product as nicely. So, you realize, numerous fascinating issues concerning the firm.”

Brugger mentioned that he was additionally drawn to Diligent as a result of it had a variety of the identical operational challenges and priorities as Cruise.

“There’s a form of a hierarchy, or pyramid, of priorities that we checked out that I believe will likely be very related,” Brugger mentioned. “You begin with security on the backside of the pyramid, that’s a nonnegotiable. You then transfer up and enhance reliability. Past that, you proceed to work on product-market-fit, which a variety of occasions, is increasing the potential or the utility of the robots. So I believe that form of pyramid is similar. After which the best way you consider deployments, I believe the parallels are very related as nicely.”

Diligent was based in 2017 by Thomaz and Vivian Chu. The corporate’s Moxi robots are deployed in additional than 25 healthcare networks. Diligent has raised greater than $90 million in enterprise funding from companies, together with Tiger International, True Ventures, and Canaan Companions, amongst others.


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