growing tech

Canadian company secures Houston funding, relocates HQ

Ambyint has fresh funding and a new main office. Photo via Getty Images

An AI-powered energy tech company has raised additional funding and relocated it's main office to Canada.

Ambyint, a Canadian-founded company that's had a Houston presence for a few years, has announced its latest round of funding and new headquarters. The software company provides energy customers with its AI-powered production and artificial lift optimization platform.

The funding comes from existing investors, Houston-based Mercury and Montrose Lane, plus two new investors, BDC Capital and Accelerate Fund III. The undisclosed amount of funding will go toward customer growth, hiring, and new enhancements to the technology, including expanding emissions mitigation capabilities.

"We have the wind in our sails and are extremely proud to see this transaction close,” Benjamin Kemp, CEO of Ambyint, says in a news release. “This investment allows us to double down on the energy market and further our AI-enabled optimization platform. Validation from our customers, talented employees, and investors is most welcome as we continue to scale.”

"Given the uncertainty in the venture capital market, attracting new investors like BDC Capital and Accelerate Fund III, who have followed Ambyint’s journey for several years, demonstrates how far we have come and the exciting future ahead of us," Kemp, who's served as CEO since 2021, adds.

The company also announced its new main office in Calgary. Previously, the Houston office operated as the company's headquarters.

Mercury, which has invested in the company since 2017, contributed to the company's series B in 2020, along with Montrose Lane (née Cottonwood Venture Partners).

“We have had the benefit of seeing the Ambyint platform and team develop over the past six years," says Mercury Managing Director Adrian Fortino says in the release. "We believe they are now poised to dramatically expand their industry footprint and improve customer emissions.”

Ambyint continues to add sustainability and emissions-related functions platform, including CO2 and methane emission tracking and mitigation.

"Utilizing advanced AI, Ambyint is addressing a significant opportunity in upstream oil and gas by increasing production while reducing GHG emissions," Joseph Regan, managing partner from BDC Capital’s Innovation Venture Fund, says in the statement. "They are leading the charge between their impressive technological progress and respected, industry-leading customers. We believe Ambyint’s AI software will be the standard operating procedure in this sector."

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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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