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Energy AI startup chooses Houston for first U.S. office after $20M raise

welcome to houston

The company is known for its Orbital AI platform, which is tailored for the energy sector. Photo via solutions.kbr.com

London-based AI firm Applied Computing has announced a $20 million Series A round and a new office in Houston.

The new Bayou City office is Applied Computing’s first in the United States and part of its North American expansion. The company is known for its Orbital AI platform, which is tailored for energy operations.

The funding round was led by Houston-based KBR Inc., with participation from San Francisco-based Databricks Ventures. KBR’s investment was first announced in March.

KBR and Applied Computing have also entered into a multi-year agreement to deliver exclusive AI products for the energy sector. KBR already has integrated Orbital into its INSITE 3.0 platform for energy projects, and is also using the product for ammonia production.

Applied Computing’s Orbital platform combines physics-grounded intelligence with models across chemical engineering, time-series forecasting and language, according to the company. The system analyzes sensor readings and can recognize a facility’s equipment constraints and operator activity. The platform can also allow technicians to run simulations of how a change to a facility could affect the rest of its operations.

According to TechCrunch, Applied Computing will use the $20 million to further explore projects and deployments with the energy sector, hire engineering and research positions, and continue to expand internationally, potentially into the Middle East.

The company is also working on deals with a major U.S. stream operator, TechCrunch reports. And Applied Computing shared on LinkedIn that it plans to announce its first partnership with a major European oil company in the coming weeks.

“Yesterday we showed Orbital live in deployments at our demo day at the Energy Institute in London,” Callum Adamson, CEO and co-founder of Applied Computing, posted on LinkedIn on July 16. “Today, we're announcing the capital to scale it globally as well as the launch of our new offices in Houston and Bangalore. In the weeks following, there will be more announcements on our progress, partnerships and deployments.”

The company opened its Bangalore offices in December.

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This article originally appeared on our sister site, InnovationMap.com.

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Scotty Nyquist discuss the growth in AI data centers and the strain on the system. Photo via HARC report

Houston energy expert asks: Who pays when AI outruns the power grid?

Guets Column

For most of the past 20 years, U.S. electricity policy relied on predictable trends in demand. Electricity use, in most regions, increased gradually, forecasts were stable, and utilities adjusted the system in small steps. Power plants, transmission lines, and substations were generally added to reflect shifts in load, rather than growth, and costs were recovered through modest adjustments to customer bills.

Growth in AI data centers has disrupted this model. A single facility can add as much electricity demand as a small town. That demand comes all at once, runs continuously, and has little tolerance for outages. If electricity service drops even briefly, computation stops, and services shut down. Ironically, data centers need reliable service, a point that their emergence is driving concern around for the rest of the grid.

What the numbers say

The International Energy Agency projects global electricity consumption from data centers to double by 2030, reaching roughly 945 TWh, nearly 3 percent of global electricity demand, with consumption growing about 15 percent per year this decade. McKinsey projects that U.S. data center demand alone could grow 20–25 percent per year, with global capacity demand more than tripling by 2030.

After years of roughly 0.5 percent annual demand growth, many forecasts now place total U.S. electricity demand growth closer to 2–3 percent per year through the mid-2030s, with much higher growth in specific regions. In Texas, some forecasters are saying electricity demand could double over the next five years, a staggering 10 percent per year growth rate. What sounds incremental on paper translates into a major challenge on the ground. Meeting this pace of growth is estimated to require $250–$300 billion per year in grid investment, about double what the system has been absorbing.

Where the system starts to strain

The strain appears first in the interconnection queue. It shows up as long waits, backlogs, and delays for connecting new loads and new generation.

Before new generators or large load customers can be connected, a study is required to assess their impact on the grid, whether it can physically handle the added load, and whether upgrades are required. With AI-driven data centers, utilities face far more connection requests than they can realistically support. In ERCOT, large-load interconnection requests exceed 200 gigawatts, most tied to data centers. That amount exceeds historical norms, and it is several times larger than what can be practically studied or built in the near term.

To be clear, public utility commissions are required to study these requests because they must manage system capabilities to ensure minimal disruption. This means engineers spend time evaluating projects that may never be built, while other more commercially viable projects may wait longer for approvals. This extends timelines and makes infrastructure planning less reliable.

Why policymakers are rethinking the rules

Utilities and their regulators must decide how much generation, transmission, and substation capacity to build years before it comes online. Those decisions are based on expected demand at the time projects are approved. When it comes to data centers, by the time infrastructure is completed, they may end up deploying newer, more efficient chips that use less power than originally assumed. This can result in grid infrastructure built for a higher load than what actually materializes, leaving excess capacity that still must be paid for through system-wide rates.

That’s the central dilemma. If utilities build too little capacity, the system operates with less reserve margin. During periods of grid stress, operators have fewer options, increasing the likelihood of curtailments or outages. However, if utilities build too much, customers may be asked to pay for infrastructure that is not fully used.

In response, policymakers are adjusting the rules. In some regions, regulators are moving toward bring-your-own-power approaches that require large data centers to supply or fund part of the capacity needed to serve them or reduce demand during system stress. At the federal level, permitting reforms tied to datacenter infrastructure increasingly treat electricity as a strategic economic input.

As Ken Medlock, senior director at the Baker Institute Center for Energy Studies (CES), explains:

“Many of the planned data centers are now also adding behind-the-meter options to their development plans because they do not anticipate being able to manage their needs solely from the grid, and they certainly cannot do so with only intermittent power sources.”

Behind-the-meter (BTM) refers to power that a consumer controls on its side of the utility meter, such as on-site gas generation or a dedicated power plant. These resources allow data centers to keep operating during grid-related service. Most facilities remain connected to the grid, but the backup BTM generation serves as insurance for operating their core business.

This shifts responsibility. Utilities traditionally manage reliability across all customers by maintaining an operating reserve margin, or spare capacity. Increasingly, large-load customers manage part of their own electricity reliability needs, which changes how infrastructure is planned and how risk is distributed.

Bottom line

AI-driven load growth is arriving faster and in more concentrated places than the power system was built to accommodate. Utilities and regulators are being forced to make decisions sooner than planned about where to build, how fast to build, and which customers get priority when capacity is limited. The effects extend beyond data centers, showing up in system costs, reliability margins, competition for grid access, and pressure on communities and industries that depend on affordable and dependable power. The issue is not whether electricity can be generated, but how the costs and risks of rapid demand growth are distributed as the system tries to keep up. How regulators balance these decisions will determine who pays as AI demand outruns the power grid.

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Scott Nyquist is a senior advisor at McKinsey & Company and vice chairman, Houston Energy Transition Initiative of the Greater Houston Partnership. The views expressed herein are Nyquist's own and not those of McKinsey & Company or of the Greater Houston Partnership. This article originally appeared on LinkedIn.

Collide has rolled out RIGGS, a large language model for energy professionals. Photo via Getty Images

Houston AI startup rolls out platform to reshape oil and gas workflows

AI for energy

Houston-based Collide is looking to solve AI issues in the energy industry from within.

Co-founded by former oil roughneck Collin McLelland, the company has developed AI software for operators and field teams, shaped by firsthand oilfield experience. Its AI-native platform “retrieves and synthesizes data from authoritative sources to deliver accurate, cited, and energy-focused insights to oil and gas professionals,” according to the company.

“Oil and gas has a graveyard full of technology that was technically impressive and operationally useless,” McLelland tells Energy Capital. “The reason is almost always the same: the people who built it didn't understand what they were actually solving for. When you're an outsider, you see workflows and try to automate them. When you're an insider, you understand why those workflows exist—the regulatory constraints, the physical realities, the liability concerns, the trust dynamics between operators and service companies.”

Collide’s large language model, known as RIGGS, performed well in recent benchmarking results when taking a standardized petroleum engineering (SPE) exam, the company reports. The exam assesses understanding from conceptual terminology to complex mathematical problem-solving.

According to Collide, RIGGS achieved a score of 67.5 percent on a 40-question subset of the SPE petroleum engineering exam, outperforming other large language models like Grok 4 (62.5 percent), Claude Sonnet 4.5 (52.5 percent) and GPT 5.1 (4 percent).

RIGGS completed the test in 15 minutes, while Grok took two hours. Collide hopes over the next few months, RIGGS will receive a score between 75 percent to 80 percent accuracy.

The software could potentially help oil and gas companies produce accurate outputs and automate trivial workflows, which can open up valuable time for engineers and teams to work on other pressing matters, according to McLelland.

“Collide exists because we sat in those seats — we were the engineers, the operators, the field guys,” he says. ”RIGGS scoring higher on the PE exam versus the frontier labs isn't a party trick. It's evidence that the model understands petroleum engineering the way a petroleum engineer does, because it was built by people who do.”

RIGGS was trained on Collide’s Spindletop hardware and is supported by a vast library of information, as well as a reasoning engine and validation layer that uses logic to solve problems.

“Longer term, we see RIGGS as the intelligence layer that sits underneath every operator's workflow — not a chatbot you open in a browser, but something embedded in the tools engineers already use,” McLelland says. “The goal is to give every engineer the knowledge and pattern recognition of a 30-year veteran, on demand."

According to McLelland, Collide is already building toward reservoir analysis and production optimization, automated regulatory compliance (Railroad Commission filings, W-10s, G-10s), workover report generation, and engineering decision support in the field for near-term use cases. In March, Collide and Texas-based oil and gas operator Winn Resources announced a collaboration to automate the time-intensive process of filing monthly W-10 and G-10 forms with the Texas Railroad Commission, completing what’s normally a multi-hour task in under 30 minutes. Collide reports that Winn’s infrastructure now automates regulatory filings and provides real-time visibility into data gaps, which has reduced processing time by over 95 percent.

“Before Collide, I'd spend hours manually keying in filings,” Buck Crum, director of operations, said in a news release. “(In March), we had 50 wells to file and I was done in 20 minutes. It does the majority of the heavy lifting while keeping me in control. That human-in-the-loop approach saves meaningful time and gives us greater confidence in our compliance and reporting.”

Collide was originally launched by Houston media organization Digital Wildcatters as “a professional network and digital community for technical discussions and knowledge sharing.” After raising $5 million in seed funding led by Houston’s Mercury Fund last year, the company said it would shift its focus to rolling out its enterprise-level, AI-enabled solution.
This are heating up for Fervo. Photo via Fervo Energy

Fervo taps new geothermal site and more energy transition news to know

Trending Topics

Editor's note: We're looking back at the biggest energy transition headlines from the second half of February, including Fervo's hottest well to date and the future of data centers in Texas. Below are the five most-read EnergyCapital stories from February 16-28, 2026.

1. Fervo taps into its hottest-ever geothermal reservoir

Fervo Energy has unlocked multigigawatt potential from a new geothermal energy site. Photo courtesy Fervo Energy.

Things are heating up at Houston-based geothermal power company Fervo Energy. Fervo recently drilled its hottest well so far at a new geothermal site in western Utah. Fewer than 11 days of drilling more than 11,000 feet deep at Project Blanford showed temperatures above 555 degrees Fahrenheit, which exceeds requirements for commercial viability. Fervo used proprietary AI-driven analytics for the test. Continue reading.

2. Texas could topple Virginia as biggest data-center market by 2030, JLL report says

A new report shows the role Texas could play as the data-center sector enters "hyperdrive." Photo via JLL.com.

Everything’s bigger in Texas, they say—and that phrase now applies to the state’s growing data-center presence. A new report from commercial real estate services provider JLL says Texas could overtake Northern Virginia as the world’s largest data-center market by 2030. Northern Virginia is a longtime holder of that title. Continue reading.

3. Texas claims No. 1 spot on new energy resilience report

Texas outpaced the rest of the country in a new energy resilience report, despite grid challenges and rising AI demand. Photo courtesy of ERCOT

A new report by mineral group Texas Royalty Brokers ranks Texas as the No. 1 most energy-resilient state. The study focused on four main sources of electricity in hydroelectric dams, natural gas plants, nuclear reactors and petroleum facilities. Each state was given an Energy Resilience Score based on size and diversity of its power infrastructure, energy production and affordability for residents. Continue reading.

4. Texas' oil and gas foundation could boost its geothermal future, UH says

A new UH white paper says that Texas is poised to lead advanced geothermal due to its oil and gas skills and capacity. Photo via UH.edu.

Equipped with the proper policies and investments, Texas could capitalize on its oil and gas infrastructure and expertise to lead the U.S. in development of advanced geothermal power, a new University of Houston white paper says. Continue reading.

5. HETI leader reflects on four years focused on the energy transition

Jane Stricker reflects on four years at HETI. Courtesy photo

It’s hard to believe only four years have passed since I joined the Greater Houston Partnership to lead the Houston Energy Transition Initiative. We talk about COVID years feeling simultaneously like just yesterday and a lifetime ago, and my time at HETI feels quite similar. The energy and climate landscape has evolved dramatically over the last few years, but one constant has endured…Houston remains at the heart of the energy industry. Continue reading.

Merab Momen, founder of AI CTO Services. Courtesy Photo

How this Houston expert helps startups turn AI hype into real impact

now streaming

Artificial intelligence is now everywhere. It is mentioned in every startup pitch deck, and every corporate roadmap claims to use it. However, many early-stage businesses struggle with the simple question, “What does AI actually mean for my business?”

In a recent podcast episode of EnergyTech Startups, Merab Momen, founder of AI CTO Services and a long time AI practitioner, explains why most founders misunderstand AI, how startups can practically apply it and why Houston is quietly becoming a serious hub for AI-driven innovation.

Filling the AI Leadership Gap

Merab’s career has spanned decades of technology transitions. He worked on neutral networks in the 1990s, constructed computer vision systems long before they were common, and helped install AI solutions inside huge industrial companies. However, he noticed a huge problem when generative AI started to explode into the mainstream-The requirement of a real partner by the founders for AI integration but inability to rely on a full-time CTO and project-based consultants.

“I really needed something which is much more engaging where I can give that partner-level advice to the founders,” he said. By giving firms on-demand access to high-level AI knowledge and expertise, his methodology enables them to analyse tools, steer clear of cost blunders and eventually transition to a permanent technology leader when the time is right.

AI is Older than Most People Think

Despite its recent rise in popularity, AI is nothing new. AI actually began in the 1950s. Merab in his conversation explained how he worked on his first AI project back in the year 1996 that worked perfectly, but the processing power wasn’t just there to make it practical. He continued how he utilized the swarm intelligence models to optimize supply chains, now referred to as MLPOs and data engineering.

From Language Models to Physical World

Much of the public conversation about AI revolves around chatbots and text generation. But Merab sees far greater potential in AI’s interaction with the physical world, especially in industrial settings. He emphasized edge computing and vision language models (VLMs) as significant advances in manufacturing and energy. This physical shift is opening doors for new opportunities for robotics, automated inspections, and industrial safety applications. Merab added that Houston is uniquely positioned for this transition.

Why Houston has an AI Advantage

Silicon Valley may dominate the AI headlines, but Merab believes Houston’s advantage lies beneath the surface. The city doesn’t lag in AI utilization; it just operates in industries where results show differently.

Machine learning isn’t new to Houston’s core industries. Energy companies, manufacturers, logistics providers, and healthcare systems have been using advanced analytics for decades. The difference lies in them innovating in industrial sectors rather than consumer technology.

What’s Next

With the AI CTO Services growing, Merab is working with startups across industries to deploy AI in practical, business-first ways.

He is more interested in assisting founders in finding answers to critical issues than following new trends.

For Houston’s energy and climate tech community, it needs to transform AI enthusiasm into real-world impact.

Listen to the full conversation with Mehrab Momin on the Energy Tech Startups Podcast to learn more.

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Energy Tech Startups Podcast is hosted by Jason Ethier and Nada Ahmed. It delves into Houston's pivotal role in the energy transition, spotlighting entrepreneurs and industry leaders shaping a low-carbon future.


A new report shows the role Texas could play as the data-center sector enters "hyperdrive." Photo via JLL.com.

Texas could topple Virginia as biggest data-center market by 2030, JLL report says

data analysis

Everything’s bigger in Texas, they say—and that phrase now applies to the state’s growing data-center presence.

A new report from commercial real estate services provider JLL says Texas could overtake Northern Virginia as the world’s largest data-center market by 2030. Northern Virginia is a longtime holder of that title.

What’s driving Texas’ increasingly larger role in the data-center market? The key factor is artificial intelligence.

Companies like Google and Microsoft need more energy-hungry data centers to power AI innovations. In a 2023 article, Forbes explained that AI models consume a lot of energy because of the massive amount of data used to train them, as well as the complexity of those models and the rising volume of tasks assigned to AI.

“The data-center sector has officially entered hyperdrive,” Andy Cvengros, executive managing director at JLL and co-leader of its U.S. data-center business, said in the report. “Record-low vacancy sustained over two consecutive years provides compelling evidence against bubble concerns, especially when nearly all our massive construction pipeline is already pre-committed by investment-grade tenants.”

Dallas-Fort Worth has long dominated the Texas data-center market. But in recent years, West Texas has emerged as a popular territory for building data-center campuses, thanks in large part to an abundance of land and energy. Nearly two-thirds of data-center construction underway now is happening in “frontier markets” like West Texas, Ohio, Tennessee and Wisconsin, the JLL report says.

Northern Virginia, the current data-center champ in the U.S., boasted a data-center market with 6,315 megawatts of capacity at the end of 2025, the report says. That compares with 2,423 megawatts in Dallas-Fort Worth, 1,700 megawatts in the Austin-San Antonio corridor, 200 megawatts in West Texas, and 164 megawatts in Houston.

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These 5 trailblazing Houston startups are leading the energy transition

meet the finalists

Houston is home to a growing number of startups reshaping what it means to be called the "Energy Capital of the World."

As part of the 2026 Houston Innovation Awards, our Energy Transition Business category honors those innovative startups that are providing solutions within renewables, climatetech, clean energy, alternative materials, circular economy and more.

Five clean energy startups have been named finalists for the 2026 award. The finalists, selected by our esteemed panel of judges, range from a lower-emission steel producer to a diagnostics platform developer working to support batteries used in data centers.

Read more about these innovative businesses, their initiatives, and their inspirational founders below. The 2026 winners will be announced on InnovationMap.com in mid-November.

Capwell Services

Methane capture company Capwell Services works to eliminate vented oil and gas emissions economically for operators. According to the company, methane emissions are vented from most oil and gas facilities due to safety protocols, and operators are not able to capture the gas cost-effectively, leading operators to emit more than 14 million metric tons of methane per year in the U.S. and Canada. Founded in 2022, Capwell specializes in low and intermittent flow vents for methane capture.

The company began as a University of Pennsylvania senior design project led by CEO Andrew Lane. It has since participated in programs with Greentown Labs, the Rice Clean Energy Accelerator and the Creative Destruction Lab Energy Cohort at Texas A&M University. The company moved to Houston in 2023 and raised a pre-seed round. It deployed two commercial units this year, according to its application.

FlowCellutions

Energytech startup FlowCellutions is developing a chemistry-agnostic diagnostics platform for flow and metal-air batteries supporting data centers and critical infrastructure. The platform is designed to help reduce operating costs, prevent failures and costly downtime, and extend battery lifetime from approximately seven years to more than 30 years. It has deployed four paid pilots and plans to take insights from the programs to develop its next-gen sensor platform technology.

CEO Becca Segel founded the company in 2022. It is a member of Greentown Labs, and Segel was a 2025 Activate Fellow. The company has raised over $2 million in non-dilutive funding and received a $1.5 million NSF SBIR Fast-Track award earlier this year.

Hertha Metals

Hertha Metals produces lower-cost, lower-emission steel and high-purity iron. The company has developed a single-step process that uses natural gas as a direct reductant instead of metallurgical coal, which cuts production costs by more than 25 percent and emissions by up to 50 percent, according to the company. The same process produces high-purity iron needed for high-purity steels and rare earth magnets. The company says it aims to "re-industrialize America’s production of critical materials."

Hertha Metals was founded by CEO Laureen Meroueh in 2022 and emerged from stealth last year with more than $17 million in venture capital funding. The company closed a $133.65 million Series A this month and also broke ground on its $100M high-purity iron factory known as Chalyx in Conroe.

Mars Materials

Clean chemical manufacturing business Mars Materials is working to convert captured carbon into resources, such as carbon fiber and wastewater treatment chemicals. The company develops and produces its drop-in chemical products in Houston and uses an in-licensed process for the National Renewable Energy Lab to produce acrylonitrile, which is used to produce plastics, synthetic fibers, and rubbers.

Founded in 2019 by CEO Aaron Fitzgerald, CTO Kristian Gubsch, and vice president of operations Trey Sheridan, the company has secured over $7.2M in financing and is backed by Bill Gates’ Breakthrough Energy, Shell, Black & Veatch, and other organizations. It won in the Minority-founded Business Category in last year's Houston Innovation Awards.

Solidec

Chemical manufacturing company Solidec has developed autonomous generators that extract molecules from water and air and convert them into pure chemicals and fuels that are free of carbon emissions on-site, eliminating the need for transport, storage, and permitting. The company was founded around innovations developed by Rice University associate professor Haotian Wang.

The company was selected for the Chevron Technology Ventures’ Catalyst Program, Greentown Labs, NSF I-Corps and was part of the first cohort of the Activate Houston program. It won first place at the 2024 startup pitch competition at CERAWeek. Solidec was founded in 2023 by Wang, who serves as an advisor, CEO Ryan DuChanois, and CTO Yang Xia. It closed a $2.5 million seed round in 2025.

Texas ranks below average on most energy-efficient states report

room to improve

Despite being home to a booming energy sector, Texas ranks below average on a new list of the country’s most and least energy-efficient states.

The list, compiled by personal finance website WalletHub, puts Texas at No. 34 for energy efficiency. It ranked 27th for energy efficiency of homes and 41st for energy efficiency of cars. Texas improved by one spot on the 2026 report, after coming in at No. 35 last year and No. 36 in 2024.

California took the top spot on the list this year, beating out Vermont, which claimed the No. 1 rank in 2025. South Carolina ranked No. 48. Due to data limitations, Alaska and Hawaii were excluded from WalletHub’s analysis.

In the WalletHub study, California had the lowest residential energy consumption per capita and the third-highest efficiency for home energy. At the bottom of the list, South Carolina ranked 48th for energy efficiency of homes and 35th for energy efficiency of cars.

Here’s who joined California in the top 5:

  • No. 2 Vermont
  • No. 3 New York
  • No. 4 Washington
  • No. 5 Massachusetts

WalletHub notes the average U.S. family spends at least $2,000 per year on utilities, and the average consumer spent $2,411 on gasoline in 2024.

The U.S. Department of Energy estimates that adopting energy-efficient measures in the home could reduce a family’s utility costs by as much as 25 percent. As for gas, the agency found a more fuel-efficient vehicle could save the average driver more than $1,000 per year.

“Energy efficiency doesn’t just help save the planet — it also helps save you money by lowering the amount of electricity, gas, oil, or other types of energy you need to consume,” WalletHub analyst Chip Lupo says.

“While there are some steps you can take to become more energy-efficient on your own, living in the right area can give you a big boost,” he adds. “For example, certain states have much better public transportation systems that minimize your need to drive, at least in big cities. Some places also have better-constructed buildings that retain heat better during the winter or stay cooler during the summer.”

WalletHub compiled the listing using data from the U.S. Census Bureau, National Climatic Data Center, U.S. Energy Information Administration, and Federal Highway Administration.

Utility Global's H2Gen named one of the best inventions of 2026

Best of 2026

One of the year's most buzzworthy innovations comes from a Houston-based leader in the energy transition. Utility Global's H2Gen recently made Time magazine’s list of the 300 best inventions of 2026.

The H2Gen is an innovative system that produces low-cost clean hydrogen from water and industrial off-gases. The company says the process doesn’t require electricity, a notable claim since hydrogen production typically consumes a lot of power.

"Using a tubular electrochemical cell containing a proprietary electrolyte and water, the company can turn industrial off-gases into hydrogen at scale—no extra electricity required," writes Time. "Bonus: the process also pulls out carbon dioxide as a separate stream, where it can be captured and kept out of the atmosphere.

CEO Parker Meeks tells Time, it's “a practical pathway to decarbonize existing industrial assets."

The startup is on a roll. It has raised $100 million so far in an ongoing Series D round to offer its decarbonization technology at industrial scale around the world.

H2Gen is joined by 10 other inventions with Texas connections onTime's list, as well as one "special mention."

In North Texas, they are:

Samsung
Plano-based Samsung Electronics America pulled off a hat trick this year, with three products making Time’s list. First up is the Galaxy S26 Ultra smartphone. It packs a more powerful camera, Galaxy AI features, and pro-level content creation tools. But Time singled out its new built-in privacy display as the phone’s “biggest selling point.”

Samsung’s Bespoke AI Family Hub refrigerator also got smarter. When AI first came to the Family Hub in 2024, it could recognize some fresh foods, but you still had to log packaged items by hand, Time noted. Now, with Google Gemini built in, the fridge can identify more than 2,000 packaged foods, read handwritten labels, and warn you when food is about to expire. It then uses what’s inside to build grocery lists and suggest recipes.

And for gamers, there’s the Odyssey G8 monitor. Its 6K resolution leapfrogs the 4K standard, delivering what Samsung calls “exceptional visual clarity and detail” on a screen big enough for gaming and multitasking.

OxeFit
Plano-based OxeFit’s XS1 Peak is about the size of a treadmill but works like an entire gym. It can be set up for strength training, simulated skiing or kayaking, Pilates, or rowing. What makes it stand out is a built-in virtual spotter. According to Time, the machine “uses AI, computer vision and sensors to correct the user’s form, change resistance in the middle of a rep and reduce the weight when the user is struggling, much like a human spotter.”

EssilorLuxottica
EssilorLuxottica, the French eyewear giant whose U.S. headquarters is in Farmers Branch, makes Essilor Stellest lenses. The lenses correct nearsightedness while also slowing the eye growth that makes it worse over time. Stellest is the first and only eyeglass lens authorized by the U.S. Food and Drug Administration to control myopia, Time said. The lenses look like regular glasses but contain 1,021 tiny lenslets. In a U.S. trial of kids ages 6-12, myopia progression slowed by an average of 71 percent over two years compared with standard lenses.

Helpany
Helpany, a startup based in Phoenix that manufactures its devices in DFW, makes Paul, a ceiling-mounted gadget that uses radar and AI to spot subtle changes in how residents move and flag those at higher risk of falling. Helpany says the technology can cut falls by as much as 72 percent.

Aurora Innovation
Aurora, based in Pittsburgh with a corporate and operations hub in Coppell, rolled out its second-generation Driver 2 system in July. By September, Driver 2 trucks had logged more than 500,000 driverless miles without a single at-fault crash, Time reported, and the company expects 200 of them on the road by the end of 2026.

Colossal Biosciences
Dallas-based Colossal Biosciences built an artificial egg by placing an ultra-thin, transparent silicone membrane inside a rigid 3D-printed cup, letting scientists watch the embryo develop. Twenty-six chickens have already been hatched.

In Austin, they are:
Cedar Park-based Hyliion landed on Time’s list with its Karno Power Module, a modular generator designed to produce power wherever it’s needed. The Karno represents a big pivot for the company. Hyliion got its start building electrified powertrains for 18-wheelers before shifting into power generation after acquiring the Karno generator technology from GE Aerospace. Founded in Pittsburgh in 2015, the company relocated to Cedar Park in 2018.

The other Austin-associated honoree is Moment Energy. As more electric vehicles hit the road, a growing number of their batteries are nearing retirement, while demand for power keeps climbing. Moment Energy found a way to tackle both problems at once. The company’s Megafactory 1, which opened in Vancouver, Canada, in June, turns old EV batteries into modular energy storage systems for hospitals, factories, data centers, and other big power users. “Our goal is to make sure these batteries don’t end up in landfills,” founder Edward Chiang told Time.

In the “Special Mentions” category, Austin-based Renzoe Box gained notice for its refillable custom makeup palette for on-the-go people. Licensed architect René Graham designed the box. She graduated from Houston's Rice University, and was born and raised in Dallas.

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A version of this article first appeared on CultureMap.com.

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