3 Houston innovators to know this week

who's who

This week's roundup of Houston innovators includes Moji Karimi of Cemvita Factory, Shanna Jin of Rice University, and Trent Crow of Real Simple Energy. Courtesy photos

Editor's note: In the week's roundup of Houston innovators to know, I'm introducing you to three local innovators across industries — data science, consumer tech, and medical device innovation — recently making headlines in Houston innovation.

Moji Karimi, co-founder and CEO of Cemvita Factory

Moji Karimi joins the Houston Innovators Podcast to discuss how his technology is offering energy execs an innovative way to meat their climate change pledge goals. Photo courtesy of Cemvita

A lot of startups are working on technology that makes existing practices more efficient, cheaper, or faster — or all of the above. But Cemvita Factory, founded by siblings Moji and Tara Karimi, is doing something that's never been done before: biomimicking photosynthesis to convert carbon emissions into useful chemicals.

"There weren't biotech companies working with oil and gas companies for this use case that we have now," Moji Karimi says on this week's episode of the Houston Innovators Podcast. "We're defining this new category for application of synthetic biology in heavy industries for decarbonization."

With this uncharted territory comes unique challenges and opportunities. Click here to read more and stream the episode.

Shanna Jin, communications and marketing specialist of the Data to Knowledge Lab at Rice University

Startups and small businesses are accumulating data daily — here's how to use that to your advantage, according to this Houston expert. Photo via rice.edu

Ironically, the power of data management is almost incalculable. With the right practices and processes in place, businesses can make better decisions and grow more strategically. But, it's not something a lot of startups or small businesses look at regularly. That's where the Rice University Data To Knowledge group comes into play.

"Being able to interpret data and making data-driven decisions becomes the key to the success of a business," writes Shanna Jin in a guest column for InnovationMap. "It is not just a privilege for big companies anymore. Small businesses need it more than ever to make sustainable growth in the digital era." Click here to read more.

Trent Crow, founder and president of Real Simple Energy

Trent Crow, founder and president, and the Real Simple Energy team have moved over to Arcardia with the acquisition. Photo courtesy of Real Simple Energy

Earlier this month, a Houston startup exited to a larger tech company. Trent Crow, co-founder and CEO of Real Simply Energy, says all eight of the company's employees have moved over to Arcadia and more workers will be hired soon. The company has maintained a mix of office and remote workers. Arcadia will look for Houston office space later this year, Crow says.

"Expansion plans include doing more of what we're doing now and offering more features for customers," says Crow, who now is Arcadia's general manager of energy services in Texas. Click here to read more.

Startups and small businesses are accumulating data daily — here's how to use that to your advantage. Photo via Getty Images

Houston expert: How to use the power of data and analytics to inform ​small businesses​

Guest column

Starting a business in a digital era brings entrepreneurs unprecedented advantages with technology and tools designed to optimize a business' operation. Whether it is a B2C or B2B, business owners can gather almost any data and metrics to improve their performance.

Being able to interpret data and making data-driven decisions becomes the key to the success of a business. It is not just a privilege for big companies anymore. Small businesses need it more than ever to make sustainable growth in the digital era.

The challenge? There are countless analytic tools and resources available that can generate data, but you need people who can extract insights from the massive amount of data.

Hire a data science team vs. outsourcing

Many companies go to campus recruitment and scout bright data science talent who also identify with their business value. Hiring people with data science and analytic skills is optimal, but for startups that are not ready to hire an in-house team or have a short-term question, outsourcing is a better option.

Data science consulting

Many online resources can help you extract data, but you are probably wondering: where do I begin? Which tool should I use? Which exact metric should I track?

The Rice University's Data Science Consulting Clinic provides free, open to the public assistance to help clients with all of those questions. It can be for various business sectors, such as research and product development, cost predictions, analytic tools, acquisition decisions, and talent management.

Here are some of the data science aspects we specialize in:

Research & Development - Obtain data to inform a decision on what products to develop.
Data analysis of who your customers are, what they are interested in, and what product to develop is crucial for B2C and B2B. A recent example of how Rice's Data Science Consulting Clinic is making a difference is a client needed assistance with market research to help inform a startup on what kind of product they should create next. The client was able to use the data resources suggested by the student and faculty consultants to gauge consumer sentiment and examples of successful products. With the data collected, the client was able to identify the features that drive customers to purchase similar products.

Cost Predictions - A case study for an energy company
Businesses need to make crucial decisions to achieve business intelligence. CEOs and managers need to base their decisions on predictions and analysis. Another client from the Data Science Consulting Clinic was interested in predicting cost and analysis of the factors contributing to the most expense for the coming year. The client's main problem was to transform the data into a statistical model that could predict the cost. With the prediction model suggested by the student consultants, the client was able to reduce the cost by controlling factors that were likely to cause higher costs.

Acquisition Decision Making for Business Professionals
Clients from the Rice MBA program were interested in investigating the causes and effects of private equity (PE) acquisition. Specifically, the clients wanted to analyze the difference in practice habits before and after acquisitions. As a result of the consultation, the clients were able to determine what factors influenced the PE's decision to acquire new equity.

Longer term projects

It would be helpful to have a dedicated data science team who can work over a semester or year long to find the solution.

Higher education has placed a prominent focus on data science programs, especially capstone projects that provide students with real-world experience. As a business owner, you might not even think about working with an esteemed university to help you with data challenges.

The Center for Transforming Data to Knowledge, informally known as the D2K Lab at Rice University, is founded based on the mission to seek real-world data challenges for passionate data science students. Student teams have worked on over 50 sponsored data science projects with partners from a wide variety of businesses, organizations, and community partners.

Advance data science and security

The perk of working with Rice University is that it provides the most advanced data science research tools and an interdisciplinary pool of student and faculty talent who are passionate about data science. Working with Rice University also guarantees a strong data security system and a comprehensive confidentiality agreement.

  • A cloud-based financial company sponsored a series of capstone projects on applying deep learning to reduce documentation errors and increase efficiency for businesses.
  • A fintech company sponsored multiple capstone projects on building statistical models to predict costs.
  • In the tech-med industry, the D2K Lab has partnered with the Medical Informational Corps, and researchers from Texas Children's Hospital and Baylor College of Medicine to build algorithms to predict cardiac events.

The future of data-driven decision making

The digital era has become the norm for all businesses (large or small), and there's no way to avoid the power of transforming data into actionable insights. So start gathering data even before you build out a business and incorporate the culture of data-driven decision making into every sector of your business.

------

Shanna Jin is the communications and marketing specialist of the Data to Knowledge Lab at Rice University.

The Rice D2K Lab wants to help startups and small businesses solve business concerns with data science. Photo courtesy of Rice University

Rice University's data-focused lab presents unique opportunity for startups and small businesses

data to knowlege

A data-focused lab at Rice University is training the next generation of data scientists. However, the students at the Rice D2K Lab are doing more than just learning about the significance of data, machine learning, and artificial intelligence — they're working as data scientists now.

Businesses — large and small — can come into the lab and have Rice students and faculty work on data projects in both short-term and long-term capacity. One semester, a group of students worked with 311 call data for the city of Houston so that officials can figure out what parts of town were in the most need of support, says Jennifer Sanders, program administrator at the Rice D2K lab.

"They were able to show on a Houston map the areas where most of these 311 calls were coming from," Sanders tells InnovationMap. "That allowed the city to focus on those areas."

Lately, the lab has been focused on a several COVID-19 Houston Response Projects, which addressed issues ranging from homelessness in the time of a pandemic, ventilator distribution, and more. One team even made a recommendation to the city after a data project determined that adding five ambulances to southwest neighborhoods served by the Houston Fire Department Emergency Medical Services program would optimize response times.

The lab has two avenues to help businesses: a semester-long capstone course and a clinic for one-time sessions. This upcoming semester, the capstone course has 60 students signed up to work on 10 to 12 projects from corporate sponsors. These lab members — which support the program monetarily — are selected based on their fit within the program.

The D2K Consulting Clinic also offers free one-hour sessions on campus. At the clinic, students look at the data and assess the possibilities and advise on how to use that data for business gain or growth.

"The consulting clinic can be a starting point if a business is not sure what to do with their data," says Shanna Jin, communications and marketing specialist at the D2K Lab.

The clinic also presents a special opportunity for small businesses and startups, a niche Sanders says they haven't tapped into enough yet. She says most of the companies they've worked with are larger organizations, usually in the energy industry.

"We really want to broaden the scope to smaller startups, tech companies, and nonprofits," Sanders says. "We really don't have to limit ourselves. I would really love to expand our reach."

Membership dues for companies, which provides a more structured, long-term access to data consulting, range from $25,000 to $75,000 a year. However, Sanders says the lab is willing to work with startups on a cost that's more accessible.

Ultimately, the goal of the program is to connect the dots for businesses that have data and don't know how to use it.

"To realize the potential of big data, we need people — people who can transform data to knowledge," says the lab's founder, Genevera Allen, in a promotional video. "That's what we're doing with the Rice D2K Lab."

Ad Placement 300x100
Ad Placement 300x600

CultureMap Emails are Awesome

Property Showcase

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.

View All Listings