Annual student startup competition in Houston names teams for 2023

getting pitch perfect

Here's what student teams from around the world were invited to compete in the Rice Business Plan Competition. Photo via rice.edu

Rice Alliance for Technology and Entrepreneurship has named the 42 student startup teams that were extended invitations to compete in the 23rd annual Rice Business Plan Competition

The 2023 startup competition will take place on Rice University campus May 11 to 13, and the teams representing 37 universities from six countries will pitch to investors, mentors, and other industry leaders for the chance to win funding and prizes. Last year's RBPC doled out nearly $2 million in investment prizes.

This year, Rice saw its largest number of student startups applying for the RBPC internal qualifier from within campus. The university selected three to move on to compete at RBPC in May — Sygne Solutions, Neurnano Therapeutics, and Tierra Climate, which also received a total of $5,000 in cash prizes to these top three teams.

The 2023 RBPC will focus on five categories: energy, cleantech and sustainability; life science and health care solutions; consumer products and services; hard tech; and digital enterprise.

This invited companies, if they attend, will join the ranks of the 784 teams that previously competed in RBPC and have raised more than $4.6 billion in capital, as well as seen more than 50 successful exits including five IPOs.

The 2023 Rice Business Plan Competition invitees, according to Rice University's news release:

  • Active Surfaces, Massachusetts Institute of Technology
  • Adrigo Insights, Saint Mary’s University (Canada)
  • AirSeal, Washington University in St. Louis
  • Algbio, Yeditepe University (Turkey)
  • Arch Pet Food, University of Chicago
  • Astria Biosciences, University of Pittsburgh
  • Atma Leather, Yale University
  • Atop, UCLA
  • Biome Future, University of Florida
  • BioSens8, Boston University
  • BlueVerse, Texas Tech University
  • Boardible, Northwestern University
  • Boston Quantum, Massachusetts Institute of Technology
  • ceres plant protein cereal, Tulane University
  • Citrimer, University of Michigan
  • Dart Bioscience, University of Oxford (United Kingdom)
  • DetoXyFi, Harvard University
  • E-Sentience, Duke University
  • Edulis Therapeutics, Carnegie Mellon University
  • FluxWorks, Texas A&M University
  • Integrated Molecular Innovations, Michigan Technological University
  • Inzipio, RWTH Aachen University (Germany)
  • LoopX AI, University of Waterloo (Canada)
  • Magnify Biosciences, Carnegie Mellon University
  • MiraHeart, Johns Hopkins University
  • MyLÚA, Cornell University
  • Outmore Living, University of Texas
  • Pathways, Harvard University
  • Pediatrica Therapeutics, University of Arkansas
  • Perseus Materials, Stanford University
  • Pike Robotics, University of Texas
  • Quantanx, Arizona State University
  • Sheza, San Diego State University
  • Skali, Northwestern University
  • Sundial Solar Components, University of Utah
  • Thryft Ship, University of Georgia
  • Tierra Climate, Rice University
  • TrashTrap Sustainability Solutions, Visvesvaraya Technological University (India)
  • Unchained, North Carolina A&T State University
  • Unsmudgeable, Babson College
  • Vivicaly, University of Pennsylvania
  • Zaymo, Brigham Young University
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The Rice Business Plan Competition is back in person this year, and these are the 42 teams that will go head to head for investments and prizes. Photo courtesy of Rice University

Rice University's student startup competition names 42 teams to compete for over $1 million in prizes

ready to pitch

The Rice Alliance for Technology and Entrepreneurship and the Jones Graduate School of Business have announced the 42 student teams that will compete in the 2022 Rice Business Plan Competition, which returns to an in-person format on the Rice University campus in April.

Of the teams competing for more than $1 million in prizes and funding in this year's competition, six hail from Texas — two teams each from Rice University, University of Texas at Austin, and Texas A&M University. The student competitors represent 31 universities — including three from European universities. The 42 teams were narrowed down from over 400 applicants and divided into five categories: energy, cleantech and sustainability; life sciences and health care solutions; consumer products and services; hard tech; and digital enterprise.

This is the first in-person RBPC since 2019, and the university is ready to bring together the entrepreneurs and a community of over 250 judges, mentors, and investors to the competition.

“As we come out on the other side of a long and challenging two years, we're feeling a sense of renewal and energy as we look to the future and finding inspiration from the next generation of entrepreneurs who are building a better world,” says Catherine Santamaria, director of the RBPC, in a news release.

“This year's competition celebrates student founders with a strong sense of determination — founders who are ready to adapt, build and grow companies that can change the future,” she continues. “We hope their participation will provide guidance and inspiration for our community.”

According to a news release, this year's RBPC Qualifier Competition, which narrowed down Rice's student teams that will compete in the official competition, saw the largest number of applicants, judges, and participants in the competition’s history. The Rice Alliance awarded a total of $5,000 in cash prizes to the top three teams from the internal qualifier: EpiFresh, Green Room and Anvil Diagnostics. From those three, Rice teams EpiFresh and Green Room received invitations to compete in the 2022 RBPC..

The full list of student teams that will be competing April 7 to 9 this year include:

  • Acorn Genetics from Northwestern University
  • Advanced Optronics from Carnegie Mellon University
  • Aethero Space from University of Missouri
  • AImirr from University of Chicago
  • AiroSolve from UCLA
  • Algeon Materials from UC San Diego
  • Anise Health from Harvard University
  • Beyond Silicon from Arizona State University
  • Bold Move Beverages from University of Texas at Austin
  • Diamante from University of Verona
  • EarthEn from Arizona State University
  • Empower Sleep from University of Pennsylvania
  • EpiFresh from Rice University
  • EpiSLS from University of Michigan
  • Green Room from Rice University
  • Horizon Health Solutions from University of Arkansas
  • Hoth Intelligence from Thomas Jefferson University
  • INIA Biosciences from Boston University
  • Invictus BCI from MIT
  • Invitris from Technical University of Munich (TUM)
  • KLAW Industries from Binghamton University
  • LIDROTEC from RWTH Aachen
  • Locus Lock from University of Texas at Austin
  • LymphaSense from Johns Hopkins University
  • Mallard Bay Outdoors from Louisiana State University
  • Mantel from MIT
  • Olera from Texas A&M University
  • OpenCell AI from Weill Cornell Medicine
  • OraFay from UCLA
  • Pareto from Stanford University
  • Photonect Interconnect Solutions from University of Rochester
  • PLAKK from McGill University
  • PneuTech from Johns Hopkins University
  • Rola from UC San Diego
  • RotorX from Georgia Tech
  • SimulatED from Carnegie Mellon University
  • SuChef from University of Pennsylvania
  • Symetric Finance from Fairfield University
  • Teale from Texas A&M University
  • Team Real Talk from University at Buffalo
  • TransCrypts from Harvard University
  • Woobie from Brigham Young University
Last year's awards had 54 student teams competing virtually, with over $1.4 million in cash and prizes awarded. Throughout RBPC's history, competitors have gone onto raise more than $3.57 billion in capital and more than 259 RBPC alumni have successfully launched their ventures. Forty RBPC startups that have had successful exits through acquisitions or trading on a public market, per the news release.
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Houston college joins inaugural workforce accelerator supported by Google

hands-on training

Houston City College (HCC) is one of 15 community colleges from around the country to be selected for the first-ever Workforce Futures Accelerator.

The three-year effort is supported by Google.org, the tech company’s philanthropic arm, and led by the Association of Community College Trustees (ACCT), a non-profit educational organization that represents over 500 community, junior, and technical colleges. The accelerator focuses on helping colleges embed virtual, employer-sponsored training opportunities into short-term workforce training programs, giving participants access to opportunities that they might otherwise receive through internships or other "work-based learning" stints.

"The Workforce Futures Accelerator reflects the Houston City College mission of offering a high-quality, affordable education for workforce training and career development," Pretta VanDible Stallworth, HCC trustee and chair-elect of the ACCT board of directors, said in a news release. "Advancing student success and creating pathways to opportunities ensures that our students are well equipped to succeed and build a secure future in today's economy.”

Through the accelerator, HCC is tasked with fusing online project-based learning opportunities with its workforce education programs. The idea is to give students hands-on experiences working on projects sponsored by employers, allowing them to gain real-world knowledge in the process.

HCC will select two workforce programs that meet the accelerator’s criteria and insert into them into coursework. In the second and third year of the accelerator, the selected colleges are expected to scale the programs by adding instructors and programs to develop a network of to support their continued implementation.

“Participation by HCC will strengthen how we provide students with career-connected learning experiences that complement their classroom education and align with the needs of employers,” HCC Chancellor Margaret Ford Fisher added in the news release. “We are focused on ‘future forward’ strategies to meet the present and future needs of our region’s businesses.”

Two other Texas colleges were chosen to participate in the accelerator: Lamar Institute of Technology in Beaumont and Grayson College in Denison.

The remaining cohort includes:

  • Bergen Community College in Paramus, New Jersey
  • Central Louisiana Community College in Alexandria, Louisiana
  • Clark State College in Springfield, Ohio
  • Great Basin College in Elko, Nevada
  • Heartland Community College in Normal, Illinois
  • Hudson County Community College in Jersey City, New Jersey
  • Manchester Community College in Manchester, New Hampshire
  • Mesa Community College in Mesa, Arizona
  • Mohave College in Kingman, Arizona
  • San Joaquin Delta Community College in Stockton, California
  • San Juan College in Farmington, New Mexico
  • West Virginia University Parkersburg in Parkersburg, West Virginia

New report ranks Texas among top 10 states where AI could disrupt jobs

AI Workforce

A new nationwide report examining where AI could "reshape" the most jobs has ranked Texas No. 9 among the most at-risk states for AI job disruption.

The new SmartAsset report compared all 50 states and the District of Columbia to calculate the estimated percent of the workforce employed in the 26 occupations with the highest AI exposure, as determined by June 2026 research by the Virginia Economic Information and Analytics Division.

The findings revealed that 500,000 Texas workers, or 3.55 percent of the total workforce, are employed in occupations with "high exposure to potential AI disruption."

This also places the Lone Star State as the 9th most at-risk state in the U.S. where AI exposure can lead to "declining hiring demand, wage pressure, task automation, and other forms of disruption."

"States with larger concentrations of highly exposed occupations could experience more pronounced labor-market changes, particularly in roles where core tasks are more vulnerable to AI-driven restructuring," the report's author wrote.

Texas' biggest cities, like Houston and Austin, are known for their thriving tech and business industries, and the study noted that many of the occupations within those sectors are the most at risk. The Virginia Economic Information and Analytics Division said the top five most AI-exposed occupations in the U.S. are: mathematicians, proofreaders, correspondence clerks, court reporters, and media and communication workers. Additionally, computer programmers, database administrators, web developers, telephone operators, and communications equipment operators round out the top 10 most at-risk positions.

These are the 16 remaining occupations most exposed to AI disruption, in order:

  • Data Entry Keyers
  • Statistical Assistants
  • Office Support Workers
  • Interpreters and Translators
  • Database Architects
  • Software Quality Assurance Analysts
  • Medical Transcriptionists
  • Software Developers
  • Writers and Authors
  • Payroll Clerks
  • Web Designers
  • Miscellaneous Computer Occupations
  • Insurance Claims Processors
  • Telemarketers
  • Computer Numerically Controlled Tool Programmers
  • Bookkeeping and Accounting Clerks

A separate SmartAsset report from April 2026 found about 20.5 percent of Texas workers use AI to do their jobs in some capacity. That trend will continue to shift further as employers and employees choose to adopt — or reject — AI implementation.

Across the U.S., Washington topped the list as the state with the highest concentration of AI-exposed jobs, with nearly 5.7 percent of the state's workforce employed in the 26 most at-risk positions. SmartAsset said Washington's high prevalence of technology companies is a significant factor that skyrocketed the state to the top of the list.

"Home to major technology companies including Microsoft, Amazon, T-Mobile and Expedia, the state has large numbers of computer programmers and software developers, two occupations with high exposure," the report said.

Meanwhile, Mississippi ranked No. 51 with the lowest concentration of AI-exposed jobs in the nation. About 22,500 workers in Mississippi, or 1.93 percent of its workforce, are at risk for AI disruption.

The top 10 states where AI could reshape the most jobs are:

  • No. 1 – Washington
  • No. 2 – Virginia
  • No. 3 – District of Columbia
  • No. 4 – California
  • No. 5 – Utah
  • No. 6 – Maryland
  • No. 7 – Colorado
  • No. 8 – New Hampshire
  • No. 9 – Texas
  • No. 10 – North Carolina
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This article originally appeared on CultureMap.com.

UH lands $1.2M NIH grant to fight superbugs using AI, quantum sensing

drug defense

The fight against antibiotic-resistant bacteria like MRSA is getting science fiction-like upgrades at the University of Houston thanks to a new four-year, $1.26 million grant from the National Institutes of Health.

The university says the recent funding brings total federal support up to $3.5 million for 11 years for the project, which uses AI and quantum-sensing technology to better understand how bacterial proteins develop resistance to drugs.

Any medical professional will tell you that one of the worst things that can happen is almost killing an infection. Bacteria that survive attacks from conventional antibiotic treatments emerge tougher, more resistant and more aggressive than before–making them much harder to treat. A good example is the superbug methicillin-resistant Staphylococcus aureus (MRSA).

UH chemistry professors Yuhong Wang and Shoujun Xu are working on this issue. They know full well that fighting superbugs requires new technology and new approaches, which is what they aim to pioneer with their new grant.

“Drug-resistant bacterial infections such as MRSA are becoming harder to treat, creating an urgent need for faster ways to understand how antibiotics and other small molecules interact with bacterial proteins,” Wang said in a news release.

Wang and Xu’s work centers around GTP, a cellular fuel that can cause tiny changes to a cell's structure when it mutates. Sometimes, those shape changes make it easier for drugs to breach the wall and attack the cells.

The UH scientists are employing AlphaFold, an AI-powered tool that can scan large molecular libraries in seconds. From these models, they can see promising drug combinations for future testing.

Once identified, the team uses their invention, super-resolution force spectroscopy, to monitor the cells. Tiny magnetic beads are attached to genetic material, then magnified to see how strong that material is when pulled. They can measure this incredible microscopic process through an atomic magnetometer, typically used in quantum physics. Combined, all these tools allow a high-definition look at how each molecule might respond to new chemical approaches.

“We're the only chemists in the world that use an atomic magnetometer for biological research,” Xu said. “It's a technique developed by physicists, and there is usually a gap between techniques developed by physicists and biological applications. Yuhong and I have been bridging that gap together for the past 10 years.”

Eventually, Wang and Xu hope to develop powerful software that can be used by drug manufacturers to model cellular responses. With enough predictive data, the software could even get ahead of superbugs’ own mutation, allowing drugs to be developed before new strains arrive.

"We want an algorithm where you input a protein sequence, score the mutation hotspots, and develop new inhibitors before a drug-resistant species even emerges," Wang added.

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