This week's roundup of Houston innovators includes Jim Sledzik of Saudi Aramco Energy Ventures, Arti Bhosale of Sieve Health, and Paul Cherukuri of Rice University. Photos courtesy

Editor's note: In this week's roundup of Houston innovators to know, I'm introducing you to three local innovators across industries — from corporate venture capital to digital health — recently making headlines in Houston innovation.

Jim Sledzik, North American managing director of Saudi Aramco Energy Ventures

Jim Sledzik joins the Houston Innovators Podcast to discuss corporate venture, Houston's role in the energy transition, and more. Photo courtesy of Aramco

When it comes to venture capital, the corporate model can be considered a little less risky, Jim Sledzik, North American managing director of Saudi Aramco Energy Ventures, says on last week's episode of the Houston Innovators Podcast. Over the past decade, Saudi Aramco Energy Ventures has invested $320 million into 33 portfolio companies in the United States. Sledzik, who's worked in various energy services roles around the world before entering in to investment, explains that the corporate venture model is ideal for scaling big technology — and fast.

“When you’re using the venture model in a corporate setting, you have the company and the balance sheet behind you, which brings different benefits to companies you’re investing in,” he says. “These entrepreneurs who are looking to figure out how to deploy technology at scale becomes the real interesting item. All entrepreneurs want to grow — and they want to grow fast."

Scaling fast is risky, but big corporates — like Aramco — can help address the risks by providing a foothold in the market, a place to roll out the technology, and more. Click here to stream the episode and read more.

Arti Bhosale, co-founder and CEO of Sieve Health

Sieve Health is an AI cloud-based SaaS platform designed to automate and accelerate matching patients with clinical trials. Photo

Throughout her career, Arti Bhosale has seen the inefficiency and the ineffectiveness of selecting patients for clinical trials.

“Across the globe, more than 30 percent of clinical trials shut down as a result of not enrolling enough patients,” says Bhosale. “The remaining 80 percent never end up reaching their target enrollment and are shut down by the FDA.”

So, in 2020, Bhosale and her team developed Sieve Health, an AI cloud-based SaaS platform designed to automate and accelerate matching patients with clinical trials and increase access to clinical trials. Click here to read more.

Paul Cherukuri, the inaugural vice president for innovation at Rice University

Meet Paul Cherukuri — the new face of innovation at Rice University. Photo via Rice.edu

Rice University has stood up a new office of innovation — and named its new leader. Paul Cherukuri, the executive director of the Institute of Biosciences and Bioengineering, the inaugural vice president for innovation. In his role, Cherukuri will "lead Rice’s technology and commercialization infrastructure to translate breakthrough discoveries into inventions for the benefit of society," per a news release from Rice.

“I am thrilled and honored to serve in this new role at this inflection point in our university’s history,” Cherukuri says in the release. “Rice has some of the finest minds in the world and I look forward to working with President DesRoches and the leadership team he has assembled to chart a bold new path for world-changing innovation from Rice by engaging the remarkable innovation ecosystem including the Ion District, the Texas Medical Center, industry and other unique assets in Houston.” Click here to read more.

Sieve Health is an AI cloud-based SaaS platform designed to automate and accelerate matching patients with clinical trials. Photo via Getty Images

Houston-based health tech startup is revolutionizing patient selection for clinical trials

working smarter

On many occasions in her early career, Dr. Arti Bhosale, co-founder and CEO of Sieve Health, found herself frustrated with having to manually sift through thousands of digital files.

The documents, each containing the medical records of a patient seeking advanced treatment through a clinical trial, were always there to review — and there were always more to read.

Despite the tediousness of prescreening, which could take years, the idea of missing a patient and not giving them the opportunity to go through a potentially life-altering trial is what kept her going. The one she didn’t read could have slipped through the cracks and potentially not given someone care they needed.

“Those stories have stayed with me,” she says. “That’s why we developed Sieve.”

When standard health care is not an option, advances in medical treatment could be offered through clinical trials. But matching patients to those trials is one of the longest standing problems in the health care industry. Now with the use of new technology as of 2018, the solution to the bottleneck may be a new automated approach.

“Across the globe, more than 30 percent of clinical trials shut down as a result of not enrolling enough patients,” says Bhosale. “The remaining 80 percent never end up reaching their target enrollment and are shut down by the FDA.”

In 2020, Bhosale and her team developed Sieve Health, an AI cloud-based SaaS platform designed to automate and accelerate matching patients with clinical trials and increase access to clinical trials.

Sieve’s main goal is to reduce the administrative burden involved in matching enrollments, which in turn will accelerate the trial execution. They provide the matching for physicians, study sponsors and research sites to enhance operations for faster enrollment of the trials.

The technology mimics but automates the traditional enrollment process — reading medical notes and reviewing in the same way a human would.

“I would have loved to use something like this when I was on the front lines,” Bhosale says, who worked in clinical research for over 12 years. “Can you imagine going through 10,000 records manually? Some of the bigger hospitals have upwards of 100,000 records and you still have to manually review those charts to make sure that the patient is eligible for the trial. That process is called prescreening. It is painful.”

Because physicians wear many hats and have many clinical efforts on their plates, research tends to fall to the bottom of the to-do list. Finding 10-20 patients can take the research team on average 15-20 months to find those people — five of which end up unenrolling, she says.

“We have designed the platform so that the magic can happen in the background, and it allows the physician and research team to get a jumpstart,” she says.” They don’t have to worry about reviewing 10,000 records — they know what their efforts are going to be and will ensure that the entire database has been scanned.”

With Sieve, the team was able to help some commercial pilot programs have a curated data pool for their trials – cutting the administrative burden and time spent searching to less than a week.

Sieve is in early-stage start up mode and the commercial platform has been rolled out. Currently, the team is conducting commercial projects with different research sites and hospitals.

“Our focus now is seeing how many providers we can connect into this,” she says. “There’s a bigger pool out there who want to participate in research but don’t know where to start. That’s where Sieve is stepping in and enabling them to do this — partnering with those and other groups in the ecosystem to bring trials to wherever the physicians and the patients are.”

Arti Bhosale is the co-founder and CEO of Sieve Health. Photo courtesy of Sieve

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Houston lab explores how AI bots can help the elderly

AI for aging

The University of Houston’s Empathetic Lifespan AI & Robotics for Aging (ELARA) Lab is currently conducting research into how AI bots may be able to help the elderly live more social and independent lives through several ongoing initiatives.

The lab officially launched last month as part of the Gerald D. Hines College of Architecture & Design under the leadership of Assistant Professor Chorong Park. Part of the lab’s mission is tackling ongoing problems with aging, such as dealing with disabilities and social isolation. Researchers’ current work is focused on designing a new AI companion bot specifically tailored to the needs of older people.

“We need to take all the needs of older adults seriously,” Park said in a news release. “They won't use the robot if they don't feel at ease or if they feel they are being constantly watched.”

The field testing of new AI bots in this population hopes to overcome several traditional obstacles in technology use among the elderly. A study by Park shows that many older people have a fear of overt surveillance when using advanced AI. There is also ageism to consider. Most new technologies are designed with younger and employed buyers in mind, not retirees who may need help remembering daily tasks or accessing important information.

“The more older adults are excluded from technology development, the worse those technology gaps will become,” Park said. “AI and the majority of technologies are created for younger people, so my research method integrates older adults directly into the design process.”

ELARA recently collaborated with the Mamie George Community Center in Richmond, Texas, to track seniors’ response to desktop AI bots like Emo and Cupboo. Researchers also had participants use air-dry modeling clay to create their ideal robotic companion.

While the eventual AI bot may be able to help the elderly feel less isolated and more supported, there are concerns to consider. A study published in the Asian Journal of Psychology charted the development of delusional thinking in a 72-year-old woman who became convinced the empathic-response bot was in love with her. The rise of “AI psychosis” has the potential to exacerbate mental health problems, particularly in socially isolated people, which a quarter of Americans over the age of 65 are.

ELARA’s research is focused on creating “pet-like” AI models with enhanced trust cues. If it can overcome the dangers of socially isolated people relying on AI for companionship, it could be a big step forward for independent aging.

SpaceX IPO set to be biggest ever and could make Elon Musk a trillionaire

IPO News

SpaceX says it plans to raise up to $75 billion when it goes public this month, setting the stage for the largest-ever stock market debut and putting Elon Musk on course to becoming the world's first trillionaire.

The company, formally known as Space Exploration Technologies Corp., said Wednesday it will sell 555.6 million shares at $135 a piece in an initial public offering. The estimated proceeds would easily top the $26 billion raised by oil giant Saudi Aramco in 2019. The offering would also give SpaceX a market value of $1.77 trillion. Only six companies in the S&P 500 are currently worth more, with Nvidia tops at $5.2 trillion.

Besides the size of the offering and the expected proceeds, SpaceX's amended prospectus updates details about how much control of the company Musk will have. As SpaceX's CEO, chief technical officer and chairman, Musk's voting power will come primarily through his ownership of 5.22 billion Class B shares, which give the holder 10 votes for every share held. According to the filing, Musk would have 82.4% of the voting power in the company.

Forbes currently values Musk's net worth at $826 billion and his stake in SpaceX at $542 billion. The estimated value of his SpaceX holdings was based on an overall value for the company of $1.25 trillion. Based on those numbers, a $1.77 trillion valuation for SpaceX would boost Musk's net worth by $223 billion, making him a trillionaire. However, much of Musk's worth is in stock that he has yet to cash in.

Even as it makes a bid for a blockbuster market debut, SpaceX is currently losing billions of dollars a year. The filing shows that the company lost $2.6 billion from operations last year on $18.7 billion in revenue, and the losses kept piling up at the start of this year, too.

Fantastical plans

Time will tell how SpaceX fares on the market. Musk's plans for the company are as fantastical as the money he hopes raise in the sale.

Colorful, even frightening in parts, the IPO document strikes a contrast with the typically dry, technical prose in IPO documents, detailing plans to use proceeds from the sale to help put men on the moon again and perhaps even Mars. In one section, it talks of a need to build "a permanent human colony" on the red planet with "at least one million inhabitants" as existential threats loom that could consign man to "the same fate as the dinosaurs."

Musk has almost equally ambitious plans for his other publicly traded company, Tesla. His goal is to transform the maker of electric vehicles into a producer of robotaxis and humanoid robots. Dan Ives of Wedbush Securities wrote in a research note that he expects Tesla and SpaceX to merge next year.

AI plays a key role

Key to the success of both companies — and any merged entity — is artificial intelligence. In its IPO filing, SpaceX says it sees potential revenue from AI of up to $26.5 trillion. But that depends on another lofty Musk ambition — putting data centers in space, which is not technologically possible at the moment.

Transforming his space company into a primarily AI-focused company will be a challenge for Musk, who started xAI in 2023 with 11 other co-founders who have all since left. Some were recruited away by rivals.

Its main AI product, the chatbot Grok, is "less impressive than anything that we see from any other major player in the space, whether that's OpenAI, or Anthropic, or (Google's) Gemini," said IDC analyst Arnal Dayaratna.

Dayaratna said that doesn't mean SpaceX doesn't have potential as a major AI player, thanks in part to its computing partnership with Anthropic and Musk's recent deal that gave SpaceX the rights to buy AI coding tool Cursor for $60 billion later this year. Folding in Cursor's capabilities would give SpaceX access to the coveted business customers now using Anthropic's Claude or OpenAI's ChatGPT.

SpaceX plans to use the net proceeds from the IPO to fund the expansion of infrastructure for its AI and rocket businesses, and to beef up the constellation of satellites that power Starlink Mobile, among other investments.

The company plans to list on the Nasdaq under the symbol "SPCX" and could begin trading as soon as the end of next week.

And SpaceX isn't the only colossal market debut investors are now bracing for. Earlier this week, Anthropic submitted a confidential filing with the U.S. Securities and Exchange Commission to officially start its own IPO clock.

OpenAI has not yet reported filing the initial SEC paperwork, but an IPO from the ChatGPT maker is widely expected.

"This listing represents the first major test for public markets after years of muted IPO activity with SpaceX paving the way for AI giants Anthropic and OpenAI to follow soon after," Ives wrote.

___

Associated Press Technology Writer Matt O'Brien contributed.

New UH survey reveals concerns over AI data center growth in Houston

data findings

A new report out of the University of Houston shows that area residents remain wary of the long-term effects of operating data centers.

The recent survey from the University of Houston’s latest SPACE City Panel, conducted by the Center for Public Policy at the Hobby School of Public Affairs, shows that while 85 percent of Houston-area residents use AI, nearly 63 percent oppose the construction of AI data centers within 1 mile of their homes.

Respondents’ concerns centered around data centers’ high energy demand and the area’s power grid reliability. According to the survey, 32 percent of residents who oppose local data center projects would be more likely to support the centers if they relied on renewable energy over fossil fuels.

“Respondents understand that AI can bring economic and educational benefits, but they are also concerned about the physical infrastructure needed to fuel AI, especially data centers,” Soran Mohtadi, post-doctoral fellow at the Hobby School and a researcher on the report, said in a news release. “This physical infrastructure demands more electricity and water, leading to environmental impacts.”

Experts estimate that 6.5 gigawatts of data center capacity will be added to the Texas grid by 2030. And Houston’s data center capacity is predicted to more than double by 2028.

The Electric Reliability Council of Texas also projects electricity demand could reach 218 gigawatts by 2031, which would be more than double the record peak set in August 2023. Data centers are expected to account for 86 gigawatts of that new demand.

Survey respondents also said they are concerned about the state's future water supply, given the large amounts of water that data centers need to stay cool.

In terms of who’s responsible for that issue, 57.6 percent of respondents said they put the onus on Texas lawmakers, while 31.5 percent say tech companies should be responsible.

Additionally, more than 75 percent of respondents believed that data center developers and technology companies—not residents—should bear the cost of infrastructure upgrades to support data centers.

“Every decision legislators make has implications on residents’ everyday lives and local infrastructure now and in the future,” Maria P. Perez Arguelles, lead researcher on the report and research assistant professor at the Hobby School, added in the news release. “This issue is going to become more important in years to come, so this is just the beginning.”

Read the full report here.