Rice Alliance names the 10 most promising startups at Houston's Offshore Technology Conference

Best of the rest

Startups from across the world pitched at the Rice Alliance Startup Roundup at the Offshore Technology Conference. Getty Images

Over 50 different startups from across the globe gathered at the Offshore Technology Conference for the fifth annual Rice Alliance Startup Roundup event. The full day of speed pitching and presentations, hosted by Rice Alliance Managing Director Brad Burke, took place at NRG Arena on Monday, May 6.

After interacting with all the various startups, the Rice Alliance's panel of experts voted on the 10 most promising startups. Half of the companies that were recognized are based in Houston — and even more have an office or some sort of operations in town. Here's which technologies the offshore oil and gas industry has its eye on.

Oliasoft AS

Oliasoft provides solutions for digitizing well planning operations. Photo via oliasoft.com

Oslo, Norway-based Oliasoft kicked off the presentations at OTC and walked away with an award 2.5 hours later. The cloud-based technology allows for enhanced well planning, casing and other drilling engineering processes.

Syzygy Plasmonics

Syzygy Plasmonics is a chemicals company in Houston lead by Trevor Best. Best presented his company's hydrogen as a fuel alternative technology. According to best, Syzegy's technology is a lower cost solution to gasoline that doesn't put out any chemical waste.

Toku Systems Inc.

Canadian IIoT company, Toku Systems Inc., has a inexpensive monitoring device. Photo via tokuindustry.com

When it comes to monitoring operations, it can be pricey and inaccurate. Edmonton, Alberta-based Toku Systems Inc. has designed a solution. Toku's device is durable and uses IIoT technology to allow for oil and gas companies to monitor their operations remotely.

Ingu Solutions

Ingu Solutions' Pipers technology might look small — but it's able to save a whole lot of cash for oil companies and prevent leaks. Photo via ingu.co

Another Canadian company, Ingu Solutions from Calgary, Alberta, took home an award from Rice. The company's pipeline detection technology can access pipes' conditions and prevent leaks and damage from causing major, costly events. Ingu's Pipers technology works off a subscription model, so clients have access to support and supplies with their monthly fees to the company.

LaserStream

LaserStream uses its imaging technology to track the wear and tear on pipes. Photo via laserstreamlp.com

Humble-based LaserStream provides laser-based scans of pipeline. The technology can evaluate damage and corrosion as well as calculate measurements of various equipment. The company has inspected over 350,000 feet of materials , including tubing, casing, drilling risers, production risers, and more, according to the website.

Ondaka

Ondaka's technology allows you to visualize your infrastructure before you act. Photo via ondaka.com

Ondaka isn't your typical Bay Area startup. The company uses an alphabet soup of buzzword technologies — IoT, AI, VR — and allows oil and gas companies to really visualize their infrastructure. The Palo Alto-based startup is a StartX company and a member at Station Houston for its local office.

Dark Vision Technologies Inc.

Canada-based Dark Vision has created a tool that can take ultrasound images of wells. Photo via darkvisiontech.com

North Vancouver, British Columbia-based Dark Vision has spent years developing its ultrasound technology that can get a 360-degree view of oil wells. According to the website, Dark Vision can find a number of downhole issues, such as tubing defects, casing corrosion, obstructions, and more.

Cemvita Factory

The Karimi siblings have created a way to synthetically convert CO2 into glucose, and they are targeting the energy and aerospace industries for their technology. Courtesy of Cemvita Factory

Houston-based Cemvita Factory didn't present its CO2-to-glucose conversion technology at the roundup, but the company's presence earlier in the day was enough for the judges. Co-founder Moji Karimi tells InnovationMap in a previous story about how the technology has many applications in oil and gas, but also in space operations,

Lift Etc.

Even though Lift ETC didn't present in the roundup, the Houston-based company walked away with an award for its artificial lift technology that is more efficient and cheaper for companies to use. According to the website, Lift ETC has a technology that's proven to lower the surface compressor requirements up to 75 percent and increase production.

SensorField

Houston-based SensorField didn't present, but still walked away with recognition from Rice. Photo via sensorfield.com

When it comes to using IoT for remote oilfield site monitoring, Houston-based SensorField is ahead of the curve. The company's device — so small it can fit in the palm of your hand — is powerful enough to provide complete monitoring capabilities from fluid level and pressure to rotating machinery health and location security, according to the website.

Ad Placement 300x100
Ad Placement 300x600

CultureMap Emails are Awesome

Property Showcase

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
---

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.

View All Listings