This digital shopping assistant relocated to Texas last year to focus on the business-friendly market. Courtesy of ModeSens

Former Microsoft engineer Brian Li wanted to help his wife, Jing Leng, a personal shopper, make smart purchases for her clients seeking luxury clothing. The couple found it impractical and time consuming to sift through multiple websites in search of clothing that was the best fit.

Li, now CEO of ModeSens, was inspired in 2015 to develop a personal shopping tool. The name comes from rearranging the French phrase "sens de la mode," which means "fashion sense."

"It started out as something that Brian worked on in his free time. But after they started using it, they realized that other people would find it useful," says Krystle Craycraft, CMO of ModeSens. "Another resource like this does not exist. We are the only company that aggregates information at the product level, presenting information to consumers in a way that is easy to navigate, and all in one place."

Since launching in 2015 in Seattle, the company relocated to Texas last year. Now, headquartered in Dallas, the company is building a large pool of users in major cities throughout Texas. ModeSens sees a growing connection with Houston in terms of customers and fashion retailers.

Li moved the business "because Texas is a good place to do business," Craycraft says. "Many businesses are following the trend of moving to Texas because of the great climate to do business in. We love Texas."

ModeSens, using its database of information, gives luxury fashion shoppers important information about products as they search, making for a more efficient, satisfying purchase. For a given item, ModeSens provides members a list of retailers who have the item in stock, the price comparison across retailers, available colors, designer information, product reviews, special promotions, and more.

You can download the free app, create a free account, and start saving on luxury goods by searching the site or scanning barcodes in the store. As ModeSens specializes in luxury goods, they partner with almost 200 brands such as Neiman Marcus, SAKS, Gucci, Dolce & Gobana, Lane Crawford and other premier designers.

"We connect with clients through several different affiliate networks as well as direct partnerships," says Craycraft. ModeSens partners exclusively with high-end retailers, filling a specific niche for the first time.

Leng, serving as the Fashion Director at ModeSens, works with these retail partners, curating content and promoting their products in a way that helps customers buy confidently.

"The customer is the focus of ModeSens; getting them what they need to make an informed decision is our top priority," says Craycraft. "Other fashion shopping platforms show products from Forever 21 all the way up to luxury brands, but for our customers looking for luxury products, a lot of those stores are just not relevant to them. Sorting through them becomes tedious."

ModeSens puts the answers to at customers' questions at their fingertips, once signed up with a free membership.

With the brand-new release of the barcode scanning feature, customers can have access to the same comparative information while physically in a store, as well as online.

"This is a total game-changer in the industry; there is no one else doing this," says Craycraft.

Using the app, shoppers simply scan the barcode of any of the many retailers who are partnered with ModeSens, revealing detailed information that can guide their purchase.

ModeSens is building an online community of luxury shoppers that can collaborate to find exactly what they are looking for in an authentic way. Through the website, members can upload pictures of the products that they have acquired, write reviews, provide helpful information to others, and ask questions.

"We want this to be a place where anyone can share their thoughts, and photos without feeling too intimidated to contribute," Craycraft says.

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Houston unicorn closes $421M to fuel first phase of flagship energy project

Heating Up

Houston geothermal unicorn Fervo Energy has closed $421 million in non-recourse debt financing for the first phase of its flagship Cape Station project in Beaver County, Utah.

Fervo believes Cape Station can meet the needs of surging power demand from data centers, domestic manufacturing and an energy market aiming to use clean and reliable power. According to the company, Cape Station will begin delivering its first power to the grid this year and is expected to reach approximately 100 megwatts of operating capacity by early 2027. Fervo added that it plans to scale to 500 megawatts.

The $421 million financing package includes a $309 million construction-to-term loan, a $61 million tax credit bridge loan, and a $51 million letter of credit facility. The facilities will fund the remaining construction costs for the first phase of Cape Station, and will also support the project’s counterparty credit support requirements.

Coordinating lead arrangers include Barclays, BBVA, HSBC, MUFG, RBC and Société Générale, with additional participation from Bank of America, J.P. Morgan and Sumitomo Mitsui Trust Bank, Limited, New York Branch.

“As demand for firm, clean, affordable power accelerates, EGS (Enhanced Geothermal Systems) is set to become a core energy asset class for infrastructure lenders,” Sean Pollock, managing director, project Finance at RBC Capital Markets, said in a news release. “Fervo is pioneering this step change with Cape Station, a vital contribution to American energy security that RBC is proud to support.”

The oversubscribed financing marks Cape Station’s shift from early-stage and bridge funding to a long-term, non-recourse capital structure, according to the news release.

“Non-recourse financing has historically been considered out of reach for first-of-a-kind projects,” David Ulrey, CFO of Fervo Energy, said in a news release. “Cape Station disrupts that narrative. With proven oil and gas technology paired with AI-enabled drilling and exploration, robust commercial offtake, operational consistency, and an unrelenting focus on health and safety, we have shown that EGS is a highly bankable asset class.”

Fervo continues to be one of the top-funded startups in the Houston area. The company has raised about $1.5 billion prior to the latest $421 million. It also closed a $462 million Series E in December.

According to Axios Pro, Fervo filed for an IPO that would value the company between $2 billion and $3 billion in January.

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This article first appeared on EnergyCapitalHTX.com.

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.”