Rice Business Plan Competition awards $1.4M to 2026 student teams

winner, winners

Here's who won big at the annual Rice Business Plan Competition. Photo courtesy Rice Alliance

Editor's note: This article has been updated to correct the total amount of investment and cash prizes awarded at the RBPC and with additional information from Rice.

Another team from the Great Lakes State took home top honors and investments at this year's Rice Business Plan Competition.

BRCĒ, a material-tech startup from Michigan State University, took home the top-place finish and the largest investment total at the annual Houston event. It has developed Lattice-Grip technology to create utility-based polymers that can replace traditional fabric. The materials are stronger, fire-resistant and more stable than traditional textiles, according to the company. Last year, the University of Michigan's Intero Biosystems won first-place finish and the largest investment total of $902,000.

In total, the RBPC doled out more than $1.4 million in investment and cash prizes, according to Rice. Over the three-day event, held April 9-11, the 42 competing startups presented their business plans to 300 angel, venture capital and corporate investors. Seven finalists were selected.

Three Texas teams, including one from Houston, were named among the finalists. Here's who won big this year, with their investment totals and some of their awards listed below.

BRCĒ, Michigan State University — $611,500

The recent Shark Tank alum finished in first place for its utility-based polymers technology.

  • $200,000 Goose Capital Investment Grand Prize
  • $100,000 The OWL Investment Prize
  • $100,000 Houston Angel Network Investment Prize
  • $75,000 The Indus Entrepreneurs (TiE) Texas Angels Investment Prize
  • $50,000 nCourage Investment Network’s Courageous Women Entrepreneur Investment Prize
  • $25,000 New Climate Ventures Sustainable Investment Prize
  • $20,000 Aramco Innovator Cash Prize
  • $1,000 Anbarci Family Company Showcase Prize
  • $500 Mercury Fund Elevator Pitch Competition Prize – Consumer Hard Tech

Legion Platforms, Arizona State University — $535,500

The startup won second place for its multiplayer gaming platform that can be accessed with slow internet speeds.

  • $100,000 Anderson Family Fund & Finger Interests Second Place Investment Prize
  • $200,000 Goose Capital Investment Prize
  • $100,000 The OWL Investment Prize
  • $25,000 Pearland EDC Spirit of Entrepreneurship Cash Prize
  • $500 Mercury Fund Elevator Pitch Competition Prize – Consumer

Imagine Devices, University of Texas at Austin — $111,000

The pediatric medical device company won third place for its multifunction neonatal feeding tube, known as Trinity Tube

  • $50,000 Anderson Family Fund & Finger Interests Third Place Investment Prize
  • $25,000 Pearland EDC Spirit of Entrepreneurship Cash Prize
  • $25,000 The Eagle Investors Investment Prize
  • $1,000 Anbarci Family Company Showcase Prize

Altaris MedTech, University of Arkansas – $16,000

The startup won fourth place for its pain-free strep test.

  • $5,000 Norton Rose Fulbright Fourth Place Prize
  • $1,000 Mercury Fund Elevator Pitch Competition Prize — Overall Winner

Routora, University of Notre Dame & University of Texas at Austin – $15,500

The team won fifth place for its route optimization app that works to reduce fuel costs, travel time and carbon emissions

  • $5,000 Chevron Fifth Place Prize
  • $500 Mercury Fund Elevator Pitch Competition Prizes — Digital

DialySafe, Rice University — $15,500

The startup won sixth place for its technology that aims to make at-home peritoneal dialysis simpler and safer.

  • $5,000 ExxonMobil Sixth Place Prize
  • $500 Mercury Fund Elevator Pitch Competition Prizes — Life Science

Arrow Analytics, Texas A&M University – $16,000

The startup won seventh place for its AI-powered sizing system for carry-on baggage.

  • $5,000 Shell Ventures Seventh Place Prize
  • $1,000 Anbarci Family Company Showcase Prizes


Other significant prizes included:

BiliRoo, University of Michigan – $26,000

  • $25,000 Southwest National Pediatric Device Consortium Pediatric Device Cash Prize
  • $1,000 Anbarci Family Company Showcase Prizes

BeamFeed, City University of New York – $25,000

  • $25,000 Amentum and WRX Companies Rising Stars Space Technology and Commercial Aerospace Cash Prize

Grapheon, University of Pittsburgh — $20,000

  • $20,000 Aramco Innovator Cash Prize

A total of $75,000 in in-kind legal services was awarded to all finalists. The grand prize winner, BRCĒ, also received a chief financial officer consulting prize worth $40,000. Each competing startup received at least $950 in prizes for placement in the competition.

“The Rice Business Plan Competition has grown into far more than a competition—it’s a proving ground for founders and a catalyst for real company formation, as well as a catalyst for building the Houston entrepreneurial ecosystem,” Brad Burke, associate vice president of Rice Innovation and executive director of Rice Alliance, said in a news release. This year's event was Burke’s final RBPC after nearly 25 years of leadership.

Last year, the Rice Business Plan Competition facilitated over $2 million in investment and cash prizes. According to Rice, more than 910 startups have raised more than $6.9 billion in capital through the competition over the last 25 years.

See a full list of this year's winners and stream rounds from the competition here.

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Houston college joins inaugural workforce accelerator supported by Google

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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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