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Houston energy SaaS startup wins local pitch competition

Houston-based WellWorth was selected as the winner of this year’s Houston Startup Showcase. Photo via LinkedIn

The Ion hosted its annual startup pitch competition, and one company walked away with a win.

WellWorth, a financial modeling and analysis software-as-a-service company for the upstream energy sector, won the Houston Startup Showcase + Expo and secured a $5,000 prize. The startup's technology introduces a more streamlined approach to NAV modeling or corporate financial modeling for its users.

“Having worked in investment banking, I have seen firsthand how the limitations of Excel models and a lack of bespoke tools have led to inefficient workflows in upstream Oil & Gas finance," says Samra Nawaz, CEO and Co-founder of WellWorth, in a statement. "We decided to solve this problem by building a cloud-based platform that helps energy finance leaders improve decision-making around raising, managing, and deploying capital.”

Nawaz explains how impactful the opportunity to pitch has been on WellWorth, which aims to raise funding early next year accelerate customer acquisition and product development.

“By getting involved in the Ion’s innovation ecosystem, we’ve been able to not only network with many entrepreneurs and innovators in the Houston community, but also find opportunities to scale our growth,” continues Nawaz. “We’re thrilled to have brought a few more customers onboard recently, and are working closely with them to optimize our product pipeline."

The company pitched alongside the other five finalists, which included Tierra Climate, MRG Health, BeOne Sports, Trez, and Mallard Bay. Mallard Bay, a booking platform for hunting and fishing trips, secured the people's choice award, which was decided by the crowd.

“Our flagship event, Houston Startup Showcase, not only connects startups and entrepreneurs with top business leaders but also provides them an opportunity to pitch their innovations to the technology ecosystem,” says Jan Odegard, executive director of the Ion, in a news release. “We extend our congratulations to WellWorth and the company’s innovative SaaS platform for energy industry finance teams, as well as Mallard Bay, the People’s Choice winner. These companies are exemplifying the exciting new technologies being developed in Houston today.”

In addition to the pitches, several companies showcased at the event, including Nanotech, manufacturer of thermal management materials for the built environment; last year's winner Unytag, a universal toll tag that provides drivers the ability to pass through tolls anywhere in the nation; and Softeq, provides early-stage innovation, technology business consulting, and full-stack development solutions to enterprise companies and innovative startups.

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A View From HETI

Researchers have secured $3.3 million in funding to develop an AI-powered subsurface sensing system aimed at improving the safety and efficiency of underground power line installation. Photo via Getty Images

Researchers from the University of Houston — along with a Hawaiian company — have received $3.3 million in funding to explore artificial intelligence-backed subsurface sensing system for safe and efficient underground power line installation.

Houston's power lines are above ground, but studies show underground power is more reliable. Installing underground power lines is costly and disruptive, but the U.S. Department of Energy, in an effort to find a solution, has put $34 million into its new GOPHURRS program, which stands for Grid Overhaul with Proactive, High-speed Undergrounding for Reliability, Resilience, and Security. The funding has been distributed across 12 projects in 11 states.

“Modernizing our nation’s power grid is essential to building a clean energy future that lowers energy costs for working Americans and strengthens our national security,” U.S. Secretary of Energy Jennifer M. Granholm says in a DOE press release.

UH and Hawaii-based Oceanit are behind one of the funded projects, entitled “Artificial Intelligence and Unmanned Aerial Vehicle Real-Time Advanced Look-Ahead Subsurface Sensor.”

The researchers are looking a developing a subsurface sensing system for underground power line installation, potentially using machine learning, electromagnetic resistivity well logging, and drone technology to predict and sense obstacles to installation.

Jiefu Chen, associate professor of electrical and computer engineering at UH, is a key collaborator on the project, focused on electromagnetic antennas installed on UAV and HDD drilling string. He's working with Yueqin Huang, assistant professor of information science technology, who leads the geophysical signal processing and Xuqing Wu, associate professor of computer information systems, responsible for integrating machine learning.

“Advanced subsurface sensing and characterization technologies are essential for the undergrounding of power lines,” says Chen in the release. “This initiative can enhance the grid's resilience against natural hazards such as wildfires and hurricanes.”

“If proven successful, our proposed look-ahead subsurface sensing system could significantly reduce the costs of horizontal directional drilling for installing underground utilities,” Chen continues. “Promoting HDD offers environmental advantages over traditional trenching methods and enhances the power grid’s resilience.”

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