Houston-based VineSleuth created a custom algorithm to match you with new wines based on wines you've had in the past. Courtesy of VineSleuth

Amy Gross wants to find you the perfect wine. In fact, she wants it so much, she built her company, VineSleuth, around the concept that technology and machine learning could find the best wine to match individual palates.

VineSleuth's custom algorithm is backed by research from sensory scientists at Cornell University, and relies on both data collection and machine learning to determine specific wines that will match an individual customer's tastes. Flavor profiles from thousands of wines are incorporated into her database, and none of those are based on the typical wine scores you'll see in magazines or reviews of wines.

"We have a team that tastes and analyzes wines and inputs their findings. Then, we have a team that codes all of that data," she says.

VineSleuth's technology can be easily overlaid on a restaurant, grocery store, or other vendor's existing web platform or app to provide a tailor-made experience for customers.

"Take a grocery store setting for example," says Gross. "A customer logs into the store using their loyalty card, and their past wine purchases come up. Our technology can analyze those and point to different selections in the store's inventory they'll enjoy."

Think of it as using big data and machine learning to deliver big returns for wine drinkers.

Gross has been deliberate and incremental in how she's grown her company, and she just got a major boost: back in September, she won the 2018 Start Here Now competition, a combination business pitch event and incubator aimed at encouraging women entrepreneurs. She took home the $10,000 Silicon Valley Bank Grand Prize, as well as an app-design concept prize to help her improve the app she created, and a media and PR consultation.

"It was such an affirmation," she says. "To have them validate our work and my future plans."

Planting the seed
It was a slow and steady growth for Gross, who started work on VineSleuth in 2011. But her wine journey started before that.

"My now-husband asked me out on a date, and I'd just graduated college," she says. "I wanted to be sophisticated, so I ordered the house chardonnay. Well, after four or five dates, I started paying attention to what I was drinking, and I developed my palate."

She and her husband and friends of theirs enjoyed exploring wine together, and on a trip to Napa in 2009, Gross noticed something. All six of them were drinking the same wines — mostly Cabernet Sauvignons from Oakville — but they had remarkably different reactions to them.

"I thought, wouldn't it be great if there were an app that told me what I wanted, not what was 'good?'" Gross says.

While she wasn't sure then how to create such an app, she knew she needed to build up her wine knowledge. She started learning about wine in earnest and launched a wine blog. That gave her access to wine vendors and wine makers.

And then, several things happened in steps. Her brother-in-law wrote a basic algorithm that would collect taste profiles and other details from wines, but Gross needed something more. A neighbor who was an applied mathematician took that original algorithm and built on it.

"When I felt brave enough to show it, I shared it with the owners of some wineries I'd developed a business relationship with in the Finger Lakes," says Gross. "They loved the idea, and it turns out one of the winemaker's wife was a sensory scientist at Cornell. At every key place along building this business, it's been about relationships."

Still fermenting
Gross did create an app, but she admits it's not quite where she wants it to be, so she'll likely tweak it over the coming year. In the meantime, she's focused on the B2B future of VineSleuth. While she says the technology her team has created is currently being used for wine, she knows it's possible to take it and expand its capabilities to beer, chocolate, spirits and other consumables.

Building the business has been both an adventure and a learning curve for Gross, whose background is in journalism and PR. But even though she doesn't come from the technology or STEM side, she says her journalism work made her a great researcher – which is exactly what she needed to build VineSleuth. She's also a driven and detail-oriented project manager.

"My team once called me the den mother, keeping everyone on track," she laughed. "And in a way, I am. But I'm also watching the future of AI happening in front me and I really love hanging out with the brilliant people on my team. This is a blast."


Amy Gross is also working on a consumer-facing app, called Wine4Me, that helps users keep track of their favorite wines and gives recommendations for new wines. Courtesy of VineSleuth

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Houston space tech co. rolls out futuristic lunar rover for NASA's Artemis missions

to the moon

Houston-based space exploration company Intuitive Machines just unveiled its version of a lunar terrain vehicle that’s designed to be used by astronauts in NASA’s Artemis moon discovery program.

Intuitive Machine recently rolled out its RACER lunar terrain vehicle (LTV) at Space Center Houston. RACER stands for Reusable Autonomous Crewed Exploration Rover.

The rover can accommodate two astronauts and nearly 900 pounds of cargo. In addition, it can pull a trailer loaded with almost 1,800 pounds of cargo.

Intuitive Machines will retain ownership and operational capabilities that will enable remote operation of the LTV between Artemis missions for about 10 years.

NASA chose Intuitive Machines and two other companies to develop advanced LTV capabilities.

“The objective is to enable Artemis astronauts, like the Apollo-era moonwalkers before them, to drive the rover, which features a rechargeable electric battery and a robotic arm, across the lunar surface, to conduct scientific research and prepare for human missions to Mars,” Intuitive Machines says in a post on its website.

The company tapped the expertise of Apollo-era moonwalkers Charlie Duke and Harrison Schmitt to design the pickup-truck-sized RACER. Intuitive Machines engineered the LTV in partnership with Atlas Devices, AVL, Barrios, Boeing, CSIRO, FUGRO, Michelin, Northrop Grumman, and Roush.

“This [project] strategically aligns with the Company’s flight-proven capability to deliver payloads to the surface of the Moon under [NASA’s] Commercial Lunar Payload Services initiative, further solidifying our position as a proven commercial contractor in lunar exploration,” says Steve Altemus, CEO of Intuitive Machines.

Astronauts at NASA’s Johnson Space Center are testing the static prototype of the company’s LTV. Meanwhile, the fully electric mobile demonstration LTV will undergo field testing later this month near Meteor Crater National Park in Arizona.

NASA expects to choose an LTV provider or providers in 2025.

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Houston accelerator names inaugural cohort to propel digital transformation in energy

building tech

Houston-based Venture Builder VC has kicked off its NOV Supernova Accelerator and named its inaugural cohort.

The program, originally announced earlier this year, focuses on accelerating digital transformation solutions for NOV Inc.'s operations in the upstream oil and gas industry. It will support high-potential startups in driving digital transformation within the energy sector, specifically upstream oil and gas, and last five months and culminate in a demo day where founders will present solutions to industry leaders, potential investors, NOV executives, and other stakeholders.

The NOV Supernova Accelerator will work to cultivate relationships between startups and NOV. They will offer specific companies access to NOV’s corporate R&D teams and business units to test their solutions in an effort to potentially develop long-term partnerships.

“The Supernova Accelerator is a reflection of our commitment to fostering forward-thinking technologies that will drive the future of oil and gas,” Diana Grauer, director of R&D of NOV, says in a news release.

The cohort’s focus will be digital transformation challenges that combine with NOV’s vision and include data management and analytics, operational efficiency, HSE (Health, Safety, and Environmental) monitoring, predictive maintenance, and digital twins.

Startups selected for the program include:

  • AnyLog, an edge data management platform that replaces proprietary edge projects with a plug-and-play solution that services real-time data directly at the source, eliminating cloud costs, data transfer, and latency issues.
  • Equipt, an AI-powered self-serve platform that maximizes Asset & Field Service performance, and minimizes downtime and profit leakages.
  • Geolumina's platform is a solution that leverages data analytics to enhance skills, scale insights, and improve efficiency for subsurface companies.
  • Gophr acts as the "Priceline" of logistics, using AI to provide instant shipping quotes and optimize dispatch for anything from paper clips to rocket ships.
  • IoT++ simplifies industrial IoT with a secure, AI-enabled ecosystem of plug-and-play edge devices.
  • Kiana's hardware-agnostic solution secures people, assets, and locations using existing Wi-Fi, Bluetooth, UWB, and cameras, helping energy and manufacturing companies reduce risks and enhance operations.
  • Novity uses AI and physics models to accurately predict machine faults, helping factory operators minimize downtime by knowing the remaining useful life of their machines.
  • Promecav is redefining crude oil conditioning with patented technology that slashes water use and energy while reducing toxic exposure for safer, cleaner, and more sustainable oil processing.
  • RaftMind's enterprise AI solution transforms how businesses manage knowledge. Our advanced platform makes it easier to process data and unlock insights from diverse sources.
  • Spindletop AI uses edge-based machine learning to make each well an autonomous, self-optimizing unit, cutting costs, emissions, and cloud dependence.
  • Taikun.aicombines generative AI with SCADA data to create virtual industrial engineers, augmenting human teams for pennies an hour.
  • Telemetry Insight’s platform utilizes high-resolution accelerometer data to simplify oilfield monitoring and optimize marginal wells for U.S. oil and gas producers via actionable insights.
  • Visual Logging utilizes fiber optic and computer vision technology to deliver real-time monitoring solutions, significantly enhancing data accuracy by providing precise insights into well casing integrity and flow conditions.

“Each startup brings unique solutions to the table, and we are eager to see how these technologies will evolve with NOV’s support and expertise,” Billy Grandy, general partner of Venture Builder VC, says in the release. “This partnership reflects our ongoing commitment to nurturing talent and driving innovation within the energy sector.”

Venture Builder VC is a consulting firm, investor, and accelerator program.

“Unlike mergers and acquisitions, the venture client model allows corporations like NOV to quickly test and implement new technologies without committing to an acquisition or risking significant investment,” Grandy previously said about the accelerator program.

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This article originally ran on EnergyCapital.