The Cleveland Clinic in Cleveland, Ohio, U.S., on Saturday, Nov. 14, 2020. On Sunday, the Ohio Department of Health reported a total of 298,096 cases in Ohio since the pandemic began, leading to 5,722 deaths and 22,265 hospitalizations. Photographer: Dustin Franz/Bloomberg via Getty Images
Bloomberg | Bloomberg | Getty Images
Earlier this spring,the emergency department at the Cleveland Clinic told Dr. Rita Pappas it had a problem.
The Cleveland Clinic is the largest hospital system in Ohio, but after an influx of patients came in, the emergency department did not believe it could accommodate all the people who would need care.
Pappas, the Cleveland Clinic’s medical director for the admission and transfer center, disagreed.
The Cleveland Clinic was in the midst of trying new AI-powered software from Palantir. The system was predicting that there would be a large number of discharges that day, meaning there would be enough space for all the incoming patients.
Pappas and her team convinced the emergency department to give Palantir’s platform a chance, and — to her relief — the new system worked.
“It was perfect. We were able to accommodate all the patients, and so everyone was cheering, they were so happy,” Pappas, who also practices clinically as a pediatric hospitalist, told CNBC in an interview. “Everyone got really excited. I was very excited because I do not want to have the emergency department yelling at me.”
Ordinarily, Pappas said managing patient flow in a similar scenario would require constant communication, every hour throughout the night. But by accurately predicting patient discharges, Palantir’s system saved Pappas, her team and the emergency department a lot of time and effort.
Palantir partnered with two health-care systems, Cleveland Clinic and Tampa General Hospital in Florida, during the summer of 2021 to develop software called Palantir for Hospital Operations. Now, just two years later, the company says its hospital-operations platform accounts for around 10% of its commercial revenue in the U.S.
The software translates complex data into digestible information that health-care workers can use to guide their decision-making and resource allocation. It can be used to generate real-time and predictive insights into areas like staffing, wait times and hospital-bed assignments.
Shyam Sankar, the company’s chief technology officer, said he thinks Palantir for Hospital Operations is just getting started.
“I’m so excited that we’re at 13% of beds in the U.S., but you know, like 90% of the work is in front of us here,” Sankar told CNBC in an interview.
A race against the clock
Palantir specializes in data analytics, and shares of the company are up around 150% so far this year as bullish AI investors are buying into its tech offerings. The company reported its first quarterly net profit for Q4 2022, and Palantir CEO Alex Karp said in a May letter to shareholders that the company expects to remain profitable “each quarter through the end of the year,” and that demand for its new Artificial Intelligence Platform (AIP) is “without precedent.”
The company is perhaps best known for its work with the U.S. government’s defense and intelligence agencies, but despite its high-profile customers in government, Sankar said Palantir works to tackle hard challenges across a variety of industries, includinghealth care — a field that experts widely believe is in crisis.
Hospital360 within Palantir for Hospital Operations
Palantir
Nurses and physicians are experiencing high levels of burnout, and staffing shortages across the country have made it difficult for hospital systems to keep up with patient demand. These challenges were magnified by the Covid pandemic, as nearly 63% of physicians reported symptoms of burnout in 2021, up from 38% the prior year, according to a recent study co-authored by the American Medical Association.
Companies across the medical and technology fields have been working to build solutions that could bring health-care workers some relief. But unless the new platforms, tools and services can be easily integrated into workflows, physicians and nurses often find they can be more trouble than they’re worth.
“If you don’t build it in the workflow of the user, it actually doesn’t get used, it just sits on the shelf,” Dr. Peggy Duggan, executive vice president and chief medical officer of Tampa General, told CNBC in an interview.
As such, in the summer of 2021, a team of four Palantir employees set out to createa meaningful solution that health-care workers at Cleveland Clinic and Tampa General could actually use.It was a daunting challenge, and there was an additional catch: They were only given a matter of weeks to build something worthwhile.
Drew Goldstein and Jeremy David, co-heads of health care at Palantir
Courtesy: Palantir
Drew Goldstein and Jeremy David led Palantir’s team of four, and they now run its fast-growing U.S. commercial health-care team. The pair said they were given around 12 weeks to build a solution for Tampa General, and their work in Florida was already underway when the Cleveland Clinic’s chief information officer called to give them an even shorter timeline: eight weeks.
“For better or for worse, I’m quite hopeful and optimistic,” David said in an interview with CNBC. “I was like, ‘Eight weeks? We can get something live in three.'”
David, Goldstein and their two teammates took an intense, hands-on approach to building their hospital-operations software.
They spent their allotted time on the ground in the hospitals in both Ohio and Florida, shadowing doctors and nurses during their shifts, even overnight. They asked questions about existing workflows and tried to grasp the biggest pain points for each organization, an experience Goldstein said was both “overwhelming” and “exciting.”
To their surprise, the Palantir team learned that hospital staff were carrying out some of their operations by manually entering data into spreadsheets and configuring information like scheduling on paper and whiteboards.
The Palantir team also became acquainted with whiteboards, as Goldstein said much of their early efforts in Ohio were spent trying to draw out existing workflows with hospital-operations leadership.
“It was so foundational in our understanding of what these problems could look like,” Goldstein told CNBC in an interview.
At the Cleveland Clinic, the Palantir team initially focused on addressing challenges related to patient flow, particularly around accelerating aspects of the patient-discharge process, while they trained their focus on clinical-staffing allocation at Tampa General. But before long, Goldstein said it became clear the health systems shared both of those problems.
“So then, instead of just building these completely separately, we started to think about, like, what should the product look like to be able to solve this?” Goldstein said.
When their work was done in Florida and Ohio, Palantir’s team had what amounted to an early iteration of Palantir for Hospital Operations. David said it was the product of several 100-hour weeks where he and Goldstein, who have become good friends, often lived in adjoining hotel rooms.
“Drew didn’t like that,” David joked. “[I’d] knock on his door, ‘Good morning, Sunshine!'”
David said the team’s hands-on approach was essential in order to understand what support health-care workers truly needed.
“If you treat the nurses and patients like widgets, you’re going to lose,” David said. “For about two weeks, we tried to treat them like widgets, and we lost.”
The group presented their work to hospital leadership through a series of demos and testimonials, and David said it was clear the health systems believed Palantir had created something special.
Their next challenge, Goldstein said, was to keep building and execute on a broader, longer-term vision.
A new tool for hospital staff: ‘They love it’
The Cleveland Clinic officially launched Palantir’s platform in March.
Pappas said the hospital system had considered working with other companies, but that the Palantir team stood out because they truly listened to the staff’s needs.
She said the Cleveland Clinic wanted help building a system that could optimize the number of patients staff could see, while also ensuring that they were all being cared for safely. Pappas said Palantir’s engineers not only took their concerns seriously but got psyched when they were able to build successful solutions.
“It sounds silly, but everyone had this, ‘Oh, we did it!’ moment,” she said.
As the medical director for the admission and transfer center, Pappas works with a bed-management team to place patients throughout the hospital. Prior to using Palantir’s platform, they relied on Microsoft Teams and Excel spreadsheets to carry out their operations.
Now, Pappas said they have easy access to both real-time and predictive insights on the number of patients coming into the hospital’s operating rooms, emergency department and as direct admissions, which are patients who receive treatments like chemotherapy.
“The system is actually learning and taking information, and it’s very accurate,” she said. “It serves as a command center so that we can see very clearly how many patients we are going to be caring for every day.”
Since the official launch of Palantir’s software on March 1, the Cleveland Clinic main campus has been able to accept an 8% increase in patient transfers from other hospitals.
In fact, Palantir’s system proved to be so useful that Pappas said some members of her team expressed fear that they were going to be replaced by it. Once she reassured them that the platform is just meant to serve as a tool, she said they’ve grown to love it.
“They’ve developed a trust in the system,” Pappas said. “People in health care are kind of conservative, you know, don’t like change, and so the fact that they trusted and are using it now really just says to us that it’s a successful venture for us.”
Schedule review within Palantir for Hospital Operations
Palantir
Duggan said staff at Tampa General, particularly nurses, are also very fond of Palantir’s technology. She acknowledged that it is still the “early days” of the partnership, but the software company passed its first test by building a staffing model that nursing managers can use to find team members who are available for shifts. Duggan said this process is often conducted manually, so automating it has saved Tampa General’s staff significant time and energy.
“The nurse leaders love it,” she said. “It’s right in their workflow; it makes their day easier and they love it. They love all that technology support.”
Duggan said once the Palantir team managed to solve the staffing problem, it was clear the company would be able to use its software to tackle challenges across several different areas of the hospital. Palantir is now working on a series of projects at Tampa General, and Duggan said she is particularly impressed by how it is helping clinicians handle cases of sepsis, the No. 1 killer in hospitals nationwide.
Sepsis occurs when a patient’s body has an extreme response to an infection. Once diagnosed, Duggan said patients have to stay on a pathway of treatment over the next few days in order to increase chances of survival.
Palantir built a monitoring system for the sepsis pathway at Tampa General, which helps the clinicians ensure the patients are getting the care they need. She said it can also help provide insights as to why a patient might not have received antibiotics, for instance.
Duggan said it is new but exciting territory, and it has allowed Tampa General to identify variability in some of its most important work.
“Our work in sepsis definitely has decreased early mortality by about half, and so that’s real lifesaving,” she said. “I tell people that it’s people’s mothers, sisters, cousins, right? That’s real lifesaving for sure.”
Meanwhile, Palantir’s commercial health-care team has ballooned from four employees to more than 50, and Goldstein said the rapid growth has been unexpectedly challenging to learn to manage.
But as they plan to partner with more health systems, expand their own team and continue to refine their technology in the years ahead, David said the potential for innovation makes for a truly exciting time.
“I think we really solved this core problem, where it’s like, OK, a health system actually can deploy this really transformative platform technology to the front lines of health care,” he said. “There’s this old trope that’s like banks and hospitals don’t adopt technology — that is definitively not true anymore.”
A Tesla robotaxi drives on the street along South Congress Avenue in Austin, Texas, on June 22, 2025
Joel Angel Juarez | Reuters
Tesla was contacted by the National Highway Traffic Safety Administration on Monday after videos posted on social media showed the company’s robotaxis driving in a chaotic manner on public roads in Austin, Texas.
Elon Musk’s electric vehicle maker debuted autonomous trips in Austin on Sunday, opening the service to a limited number of riders by invitation only.
In the videos shared widely online, one Tesla robotaxi was spotted traveling the wrong way down a road, and another was shown braking hard in the middle of traffic, responding to “stationary police vehicles outside its driving path,” among several other examples.
A spokesperson for NHTSA said in an e-mail that the agency “is aware of the referenced incidents and is in contact with the manufacturer to gather additional information.”
Tesla Vice President of Vehicle Engineering Lars Moravy, and regulatory counsel Casey Blaine didn’t immediately respond to a request for comment.
The federal safety regulator says it doesn’t “pre-approve new technologies or vehicle systems.” Instead, automakers certify that each vehicle model they make meets federal motor vehicle safety standards. The agency says it will investigate “incidents involving potential safety defects,” and take “necessary actions to protect road safety,” after assessing a wide array of reports and information.
NHTSA previously initiated an investigation into possible safety defects with Tesla’s FSD-Supervised technology, or FSD Beta systems, following injurious and fatal accidents. That probe is ongoing.
The Tesla robotaxis in Austin are Model Y SUVs equipped with the company’s latest FSD Unsupervised software and hardware. The pilot robotaxi service, involving fewer than two-dozen vehicles, operates during daylight hours and only in good weather, with a human safety supervisor in the front passenger seat.
The service is now limited to invited users, who agree to the terms of Tesla’s “early access program.” Those who have received invites are mostly promoters of Tesla’s products, stock and CEO.
While the rollout sent Tesla shares up 8% on Monday, the launch fell shy of fulfilling Musk’s many driverless promises over the past decade.
In 2015, Musk told shareholders Tesla cars would achieve “full autonomy” within three years. In 2016, he said a Tesla EV would be able to make a cross-country drive without needing any human intervention before the end of 2017. And in 2019, on a call with institutional investors that helped him raise more than $2 billion, Musk said Tesla would have 1 million robotaxi-ready vehicles on the road in 2020, able to complete 100 hours of driving work per week each, making money for their owners.
None of that has happened.
Meanwhile, Alphabet-owned Waymo says it has surpassed 10 million paid trips last month. Competitors in China, including Baidu’s Apollo Go, WeRide and Pony.ai, are also operating commercial robotaxi fleets.
Runway is best known for its AI video-generation tools and earned a spot on CNBC’s Disruptor 50 list earlier this month.
The deal talks between Meta and Runway did not progress far and dissolved, according to a person familiar with the matter who asked not to be named due to the confidential nature of the discussions.
Bloomberg earlier reported the talks. Meta declined to comment.
Read more CNBC tech news
Meta CEO Mark Zuckerberg has been aggressively pushing to bolster his company’s AI efforts in recent months. The social media giant invested $14.3 billion into Scale AI in June, and it has also approached the startups Safe Superintelligence and Perplexity AI about potential acquisitions this year.
Meta agreed to a 49% stake in Scale AI and hired away founder Alexandr Wang along with a few other employees from the company.
While Meta was unsuccessful in its efforts to buy Superintelligence outright, Daniel Gross, the company’s CEO, and former GitHub CEO Nat Friedman are joining Meta’s AI efforts, where they will work on products under Wang.
A woman walks past a logo of WhatsApp during a Meta event in Mumbai, India, on Sept. 20, 2023.
Niharika Kulkarni | Nurphoto | Getty Images
Meta is pushing back against a ban on WhatsApp from government devices.
The chief administrative officer, or CAO, of the U.S. House of Representatives told staffers on Monday that they are not allowed to use Meta’s popular messaging app. The CAO cited a lack of transparency about WhatsApp’s data privacy and security practices as the reason for the ban, according to a report by Axios that cited an internal email from the government office.
The CAO told House staff members in the email that they are not allowed to download WhatsApp on their government devices or access the app on their smartphones or desktop computers, the report said. Staff members must remove WhatsApp from their devices if they have the app installed on their devices, the report said.
“Protecting the People’s House is our topmost priority, and we are always monitoring and analyzing for potential cybersecurity risks that could endanger the data of House Members and staff,” U.S. House Chief Administrative Officer Catherine Szpindor told CNBC in a written statement.
Meta spokesperson Andy Stone on Monday responded to the report via a post on X, saying the company disagrees “with the House Chief Administrative Officer’s characterization in the strongest possible terms.”
“We know members and their staffs regularly use WhatsApp and we look forward to ensuring members of the House can join their Senate counterparts in doing so officially,” Stone said.
In a separate X post, Stone said WhatsApp’s encrypted nature provides a “higher level of security than most of the apps on the CAO’s approved list that do not offer that protection.”
Some of the messaging apps the CAO said are acceptable alternatives to WhatsApp include Microsoft Teams, Signal and Apple’s iMessage, the Axios report said.
Meta is currently embroiled in an antitrust case with the Federal Trade Commission over the social media company’s acquisitions of WhatsApp and Instagram.