seed funding

Houston VC invests in early stage California biodegradable plastics startup

Algenesis bills its patented Soleic technology as the world’s first renewable, high-performance, fully biodegradable, and backyard-compostable polyurethane made from plants and algae. Photo via AlgenesisMaterials.com

Houston-based venture capital firm First Bight Ventures led a $5 million seed round for Encinitas, California-based startup Algenesis, a developer of biodegradable plastics.

Algenesis bills its patented Soleic technology as the world’s first renewable, high-performance, fully biodegradable, and backyard-compostable polyurethane made from plants and algae. Each year, 25 million tons of hard-to-recycle polyurethane are produced for the footwear, medical, and textile industries. Polyurethane, typically made from petroleum, usually ends up as landfill waste or environmental microplastics.

Algenesis says Soleic can biodegrade in compost within a matter of months and does not contain harmful PFAS chemicals found in other plastics.

Algenesis says the new funding will enable it to expand beyond soft-foam applications, such as midsoles and insoles for footwear, and into injection-molded products such as smartphone cases along with waterproof textiles.

Aside from First Bight Ventures, investors in the seed round are Singapore-based Circulate Capital, India-based MIH Capital, Chesapeake, Virginia-based Diamond Sports Group, and France-based Rhinoshield.

The investment comes on the heels of a $5 million grant Algenesis received from the U.S. Department of Energy to scale up production of biochemicals.

“To save our planet and ourselves, we must move away from petroleum-based plastics and toward bio-based alternatives. Algenesis is clearly at the forefront of making this possible,” says Veronica Wu, founder of First Bight Ventures.

First Bight, which launched in 2022, invests in early-stage startups working on synthetic biology.

“First Bight is investing to bring the best and the brightest — and most promising — synthetic biology startups from around the country to Houston,” Wu said last year.

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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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