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Houston subsea tech company makes acquisition, plans to grow renewables biz

The acquisition is valued at $34 million. Photo via Nauticus Robotics

A Houston company that harnesses the power of robotics hardware and programing for underwater use has made an acquisition.

Nauticus Robotics Inc. (NASDAQ: KITT) announced it has acquired 3D at Depth Inc., a Colorado-based company with a subsea light detection and range, LiDAR, technology for inspection and data services. The deal closed for approximately $34 million in stock, before certain purchase price adjustments and the assumption of debt, per the news release.

“The future of subsea services lies in autonomy, data gathering, and analytics,” Nicolaus Radford, Nauticus’ founder and CEO, says in the release. “LiDAR has long since been core to terrestrial autonomy and by adding 3D’s capabilities to the Nauticus Fleet, we enhance autonomous vehicles in the offshore market. This acquisition increases the value of Nauticus’ fleet services and positions the Company to capitalize on data acquisition and analytics for subsea operations.”

The acquisition expands Nauticus' capabilities for its autonomous underwater suite of technology for its customers. With the deal, Nauticus will assume 20 patents secured or pending by acquiring 3D, which generated $9.8 million in revenue last year and is slated to grow revenue by more than 20 percent in 2023, according to the release.

“In addition to the compelling strategic and financial benefits of this deal, the acquisition will add momentum to our commercial growth trajectory,” Radford continues. “By adding 3D’s technology, offshore inspection and data service, and experienced team, Nauticus expands our addressable market and accelerates our customer penetration in the offshore energy and renewables industries.”

Founded in 2009, 3D will operate as a division of Nauticus when the deal closes sometime before the end of the year. Nauticus will also assume approximately $4.1 million of debt in the transaction.

“The Nauticus Robotics and 3D at Depth combination creates a compelling solution for the subsea market and should help improve our products and services for all our clients,” Carl Embry, founder and CEO of 3D at Depth, says in the release. “We believe the integration of our unique subsea multi-dimensional data collection and processing with an emerging leader in subsea robotics creates a differentiated offering for customers seeking safer, cleaner, lower-cost subsea services.”

Nauticus, founded by Radford in 2014 as Houston Mechatronics, went public via a blank check company last year.

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This article originally ran on InnovationMap

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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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