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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Houston food giant Sysco to acquire competitor in $29 billion deal

Mergers & Acquisitions

Sysco, the nation's largest food distributor, will acquire supplier Restaurant Depot in a deal worth more than $29 billion.

The acquisition would create a closer link between Sysco and its customers that right now turn to Restaurant Depot for supplies needed quickly in an industry segment known as “cash-and-carry wholesale.”

Sysco, based in Houston, serves more than 700,000 restaurants, hospitals, schools, and hotels, supplying them with everything from butter and eggs to napkins. Those goods are typically acquired ahead of time based on how much traffic that restaurants typically see.

Restaurant Depot offers memberships to mom-and-pop restaurants and other businesses, giving them access to warehouses stocked with supplies for when they run short of what they've purchased from suppliers like Sysco.

It is a fast growing and high-margin segment that will likely mean thousands of restaurants will rely increasingly on Sysco for day-to-day needs.

Restaurant Depot shareholders will receive $21.6 billion in cash and 91.5 million Sysco shares. Based on Sysco’s closing share price of $81.80 as of March 27, 2026, the deal has an enterprise value of about $29.1 billion.

Restaurant Depot was founded in Brooklyn in 1976. The family-run business then known as Jetro Restaurant Depot, has become the nation's largest cash-and-carry wholesaler.

The boards of both companies have approved the acquisition, but it would still need regulatory approval.

Shares of Sysco Corp. tumbled 13% Monday to $71.26, an initial decline some industry analysts expected given the cost of the deal.

Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”