From software and IoT to decarbonization and nanotech, here's what 10 energy tech startups you should look out for. Photo via Getty Images

This week, energy startups pitched virtually for venture capitalists — as well as over 1,000 attendees — as a part of Rice Alliance for Technology and Entrepreneurship's 18th annual Energy and Clean Tech Venture Forum.

At the close of the three-day event, Rice Alliance announced its 10 most-promising energy tech companies. Here's which companies stood out from the rest.

W7energy

Based in Delaware, W7energy has created a zero-emission fuel cell electric vehicle technology supported by PiperION polymers. The startup's founders aim to provide a more reliable green energy that is 33 percent cheaper to make.

"With ion exchange polymer, we can achieve high ionic conductivity while maintaining mechanical strength," the company's website reads. "Because of the platform nature of the chemistry, the chemical and physical properties of the polymer membranes can be tuned to the desired application."

Modumetal

Modumetal, which has its HQ in Washington and an office locally as well, is a nanotechnology company focused on improving industrial materials. The company was founded in 2006 by Christina Lomasney and John Whitaker and developed a patented electrochemical process to produce nanolaminated metal alloys, according to Modumetal's website.

Tri-D Dynamics

San Francisco-based Tri-D Dynamics has developed a suite of smart metal products. The company's Bytepipe product claims to be the world's first smart casing that can collect key information — such as leak detection, temperatures, and diagnostic indicators — from underground and deliver it to workers.

SeekOps

A drone company based in Austin, SeekOps can quickly retrieve and deliver emissions data for its clients with its advance sensor technology. The company, founded in 2017, uses its drone and sensor pairing can help reduce emissions at a low cost.

Akselos

Switzerland-based Akselos has been using digital twin technology since its founding in 2012 to help energy companies analyze their optimization within their infrastructure.

Osperity

Osperity, based in Houston's Galleria area, is a software company that uses artificial intelligence to analyze and monitor industrial operations to translate the observations into strategic intelligence. The technology allows for cost-effective remote monitoring for its clients.

DroneDeploy

DroneDeploy — based in San Francisco and founded in 2013 — has raised over $92 million (according to Crunchbase) for its cloud-based drone mapping and analytics platform. According to the website, DroneDeploy has over 5,000 clients worldwide across oil and gas, construction, and other industries.

HEBI Robotics

Pittsburgh-based HEBI Robotics gives its clients the tools to build custom robotics. Founded 2014, HEBI has clients — such as NASA, Siemens, Ericsson — across industries.

CarbonFree Chemicals

CarbonFree Chemicals, based in San Antonio and founded in 2016, has created a technology to turn carbon emissions to useable solid carbonates.

SensorUp

Canadian Internet of Things company, SensorUp Inc. is a location intelligence platform founded in 2011. The technology specializes in real-time analysis of industrial operations.

"Whether you are working with legacy systems or new sensors, we provide an innovative platform that brings your IoT together for automated operations and processes," the company's website reads.

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Austin company to bring AI-powered school to The Woodlands

AI education

Austin-based Alpha School, which operates AI-powered private schools, is opening its first Houston-area location in The Woodlands.

The 8,000-square-foot school, scheduled to be ready for the 2026-27 academic year, initially will serve students in kindergarten through eighth grade. Alpha says the school will offer “open workshop spaces and innovative classrooms that support personalized instruction, core academics, leadership development, and real-world life skills.”

Alpha sets aside two hours each school day for the AI-driven, self-paced study of core subjects like math, reading and science. The rest of each school day consists of life-skills workshops focusing on topics such as leadership and financial literacy.

Alpha’s school in The Woodlands has begun accepting applications for the 2026-27 school year. Annual tuition costs $40,000.

“The Woodlands is one of the most dynamic, forward-thinking communities in Texas, and Alpha is proud to bring

an innovative educational model that complements its strong academic foundation,” says Rachel Goodlad, head

of expansion for Alpha.

Founded in 2014, Alpha School combines adaptive technology-driven instruction with immersive life-skills workshops. Its model emphasizes mastery-based learning in core subjects alongside development of communication, critical thinking, financial literacy and leadership skills. It operates more than 15 schools across the country.

Elsewhere in Texas, Alpha operates schools in Austin, Brownsville, Fort Worth and Plano. Alpha also operates 12 Texas Sports Academy campuses in Texas, including locations in Houston, Pearland and Richmond, along with a NextGen Academy esports school in Austin, a school for gifted students in Georgetown, and lower-cost Nova Academy campuses in Austin and Bastrop.

Alpha has fans and critics. While supporters tout students’ high achievement rates, detractors complain about the high tuition and the AI-influenced depersonalization of education.

“Students and our country need to be in relationship with other human beings,” Randi Weingarten, president of the American Federation of Teachers, a teachers union, tells The New York Times. “When you have a school that is strictly AI, it is violating that core precept of the human endeavor and of education.”

Alpha co-founder MacKenzie Price, a podcaster and social media influencer, doesn’t share Weingarten’s views.

“Parents and teachers: We need to embrace this change,” Price wrote after President Trump signed an executive order promoting AI in schools.

The Times notes that Alpha doesn’t employ AI as a tutor or a supplement. Rather, the newspaper says, AI is “the school’s primary educational driver to move students through academic content.”

Houston researcher secures $1.7M to develop drug for aggressive form of breast cancer

cancer research

A University of Houston researcher has joined a $3.2 million effort to develop a new drug designed to attack a cancer-driving protein commonly found in triple-negative breast cancer.

Triple-negative breast cancer (TNBC) is one of the most difficult-to-treat forms of cancer and accounts for 10 percent to 15 percent of all breast cancer cases. The disease gets its name because tumors associated with it test negative for estrogen receptors, progesterone receptors and excess HER2 protein, making it difficult to target. Due to this, TNBC is often treated with general chemotherapy, which can come with negative side effects and drug resistance, according to UH.

UH College of Pharmacy research associate professor Wei Wang is developing a drug that can target the disease more specifically. The drug will target MDM2, a protein often overproduced in TNBC that also contributes to faster tumor growth.

Wang is working on a team led by Wei Li, director of the University of Tennessee Health Science Center College of Pharmacy’s Drug Discovery Center. She has received $1.7 million to support the research.

Wang and UH professor of pharmacology and toxicology Ruiwen Zhang have discovered a compound that can break down MDM2. In early laboratory models, the compound has shown the ability to shrink tumors.

Wang and Zhang will focus on understanding how the treatment works and monitoring its effectiveness in models that closely mirror human disease.

“We will study how the drug targets MDM2 and evaluate the most promising drug candidates to determine effective dosing, understand how the drug behaves in the body, compare it with existing treatments and assess early safety,” Wang said in a news release.

Li’s team at the University of Tennessee will be working on the chemistry and drug design end of the project.

“This work could lead to an entirely new class of therapies for triple-negative breast cancer,” Li added in the release. “We’re hopeful that by directly removing the MDM2 protein from cancer cells, we can help more patients respond to treatment regardless of their tumor type.”